Simple Time-Based Strategy(Price Action Hypothesis)Core Theory: Trend Continuation Pattern Recognition**
1. **Price Action Hypothesis**
The strategy is built on the assumption that consecutive price movements (3-bar patterns) indicate momentum continuation:
- *Long Pattern*: Three consecutive higher closes combined with ascending highs
- *Short Pattern*: Three consecutive lower closes combined with descending lows
This reflects a belief that sustained directional price movement creates self-reinforcing trends that can be captured through simple pattern recognition.
2. **Time-Based Risk Management**
Implements a dynamic exit mechanism:
- *Training Phase*: 5-bar holding period (quick turnover)
- *Testing Phase*: 10-bar holding period (extended exposure)
This dual timeframe approach suggests the hypothesis that market conditions may require different holding durations in different market eras.
3. **Adaptive Market Hypothesis**
The structure incorporates two distinct phases:
- *Training Period (11 years)*: Pattern recognition without stop losses
- *Testing Period*: Pattern recognition with stop losses
This assumes markets may change character over time, requiring different risk parameters in different epochs.
4. **Asymmetric Risk Control**
Implements stop-losses only in the testing phase:
- Fixed 500-pip (point) stop distance
- Activated post-training period
This reflects a belief that historical patterns might need different risk constraints than real-time trading.
5. **Dual-Path Validation**
The split between training/testing phases suggests:
- Pattern validity should first be confirmed without protective stops
- Real-world implementation requires added risk constraints
6. **Market Efficiency Paradox**
The simultaneous use of both long/short entries assumes:
- Markets exhibit persistent inefficiencies
- These inefficiencies manifest differently in bullish/bearish conditions
- A symmetric approach can capture opportunities in both directions
7. **Behavioral Finance Elements**
The 3-bar pattern recognition potentially exploits:
- Herd mentality in trend formation
- Delayed reaction to price momentum
- Cognitive bias in trend confirmation
8. **Quantitative Time Segmentation**
The annual-based period division (training vs testing) implies:
- Market cycles operate on multi-year timeframes
- Strategy robustness requires validation across different market regimes
- Parameter sensitivity needs temporal validation
This strategy combines elements of technical pattern recognition, temporal adaptability, and phased risk management to create a systematic approach to trend exploitation. The theoretical framework suggests markets exhibit persistent but evolving patterns that can be systematically captured through rule-based execution.
[i]price
Price-Volume Dynamic - Strategy [presentTrading]█ Introduction and How it is Different
The "Price-Volume Dynamic - Strategy" leverages a unique blend of price action, volume analysis, and statistical z-scores to establish trading positions. This approach differentiates itself by integrating the concept of the Point of Control (POC) from volume profile analysis with price-based z-score indicators to create a dynamic trading strategy. It tailors entry and exit thresholds based on current market volatility, providing a responsive and adaptive trading method. This strategy stands out by considering both historical volatility and price trends to adjust trading decisions in real-time, enhancing its effectiveness in various market conditions.
BTCUSD 4h LS Performance
█ Strategy: How It Works – Detailed Explanation
🔶 Calculating Point of Control (POC)
The Point of Control (POC) represents the price level with the highest traded volume over a specified lookback period. It's calculated by dividing the price range into a number of rows, each representing a price level. The volume at each price level is tallied and the level with the maximum volume is designated as the POC.
🔶 Dynamic Thresholds Adjustments
The entry and exit thresholds are dynamically adjusted based on normalized volatility, which is derived from the current, minimum, and maximum ATR over a specified period. This normalization ensures that the thresholds adapt to changes in market conditions, making the strategy sensitive to shifts in market volatility.
BTCUSD local performance
█ Trade Direction
The strategy can be configured to trade in three different directions: Long, Short, or Both. This flexibility allows traders to align their trading strategy with their market outlook or risk preferences. By adjusting the `POC_tradeDirection` input, traders can selectively participate in market movements that match their trading style and objectives.
█ Usage
To deploy this strategy, traders should apply it within a trading software that supports scripting and backtesting, such as TradingView's Pine Script environment. Users can input their parameters based on their analysis of the market conditions and their risk tolerance. It is essential for traders to backtest the strategy using historical data to evaluate its performance and make necessary adjustments before applying it in live trading scenarios.
█ Default Settings
- Lookback Length: Sets the period over which the highest and lowest prices, and the volume per price level, are calculated. A higher lookback length smoothens the volatility but may delay response to recent market movements.
- Number of Rows: Determines the granularity of price levels within the price range. More rows provide a more detailed volume profile but require more computational resources.
- Entry Z-Score Threshold Base: Influences the sensitivity of the strategy to enter trades. Higher values make the strategy more conservative, requiring stronger deviation from the mean to trigger a trade.
- Exit Z-Score Threshold Base: Sets the threshold for exiting trades, with lower values allowing trades to close on smaller price retractions, thereby potentially preserving profits or reducing losses.
- Trading Direction: Allows selection between Long, Short, or Both, enabling traders to tailor the strategy to their market view or risk preferences.
Price Based Z-Trend - Strategy [presentTrading]█ Introduction and How it is Different
Z-score: a statistical measurement of a score's relationship to the mean in a group of scores.
Simple but effective approach.
The "Price Based Z-Trend - Strategy " leverages the Z-score, a statistical measure that gauges the deviation of a price from its moving average, normalized against its standard deviation. This strategy stands out due to its simplicity and effectiveness, particularly in markets where price movements often revert to a mean. Unlike more complex systems that might rely on a multitude of indicators, the Z-Trend strategy focuses on clear, statistically significant price movements, making it ideal for traders who prefer a streamlined, data-driven approach.
BTCUSD 6h LS Performance
█ Strategy, How It Works: Detailed Explanation
🔶 Calculation of the Z-score
"Z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. A Z-score of 1.0 would indicate a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean."
The Z-score is central to this strategy. It is calculated by taking the difference between the current price and the Exponential Moving Average (EMA) of the price over a user-defined length, then dividing this by the standard deviation of the price over the same length:
z = (x - μ) /σ
Local
🔶 Trading Signals
Trading signals are generated based on the Z-score crossing predefined thresholds:
- Long Entry: When the Z-score crosses above the positive threshold.
- Long Exit: When the Z-score falls below the negative threshold.
- Short Entry: When the Z-score falls below the negative threshold.
- Short Exit: When the Z-score rises above the positive threshold.
█ Trade Direction
The strategy allows users to select their preferred trading direction through an input option.
█ Usage
To use this strategy effectively, traders should first configure the Z-score thresholds according to their risk tolerance and market volatility. It's also crucial to adjust the length for the EMA and standard deviation calculations based on historical performance and the expected "noise" in price data.
The strategy is designed to be flexible, allowing traders to refine settings to better capture profitable opportunities in specific market conditions.
█ Default Settings
- Trade Direction: Both
- Standard Deviation Length: 100
- Average Length: 100
- Threshold for Z-score: 1.0
- Bar Color Indicator: Enabled
These settings offer a balanced starting point but can be customized to suit various trading styles and market environments. The strategy's parameters are designed to be adjusted as traders gain experience and refine their approach based on ongoing market analysis.
Z-score is a must-learn approach for every algorithmic trader.
Broadview Economic StudioThank you for taking the time to read this description. We'll be taking a look at the Broadview Economic Studio. This has been a work-in-progress for years and is a very powerful tool for planning trades with complex volume scaling strategies. We will be talking about many indicators and types of indicators used in the public domain, but it is NOT recommended to reverse engineer our scripts as there is quite a bit of logic in the code that works to make each common approach entirely unique. So although you may understand quite a bit about oscillators, the way they work with the rest of the logic within the script may change the way you know them to work from elsewhere.
In the chart snapshot above you'll see a mild configuration where I only had to tweak a few settings. Commissions are set to 0.1%, starting capital is set to $10,000, and slippage is off. In my tests orders came through less than a penny off. Generally speaking, there are really only two situations in which you should be concerned about slippage. The first is if you trade really low timeframe charts like the 1 second. This tool, while it works for any timeframe, is programmed on the 45 minute timeframe and works best there. The other situation in which you should be prepared for slippage is if you're using extremely high volume trades in the hundreds of thousands or millions depending on the market cap and liquidity of the asset you're studying. Large orders like that have to be split up among several deals and that can cause slippage.
There are 31 primary inputs for users to tweak. Each input is grouped within a module called a Suite. Each suite has a focus like filtering signals or strategically allocating volume according to your strategy. Everything starts with the Origin Suite. The Origin Suite is a group of inputs that generates Tops & Bottoms from price action. It uses math like Rate of Change, where one can specify a required rate of change before an Origin signal can be made, and users can specify how much lower in price a bar must be compared to previous bars. So with the Origin Suite, users can control how often they want to see originating signals and under what conditions they can appear.
We used to use WVF and CVI to produce top and bottom signals, but our Origin Suite works much better for systematically generating profitable configurations.
The triangles you see on the chart represent markers, potential signals, or Prop Signals as they're referred to within the script. The blue arrows represent trades where Prop Signals were allowed to pass as true long signals. There are two ways to ignore Prop Signals. You can filter the markers entirely, or you can reduce their volume scaling to the minimum which is usually $10 for most exchanges. We're first going to be talking about some of the primary DCA inputs before we talk about the technology we use to filter and overload signals.
Here are some important features found within the script:
Base Orders
Safety Orders
Take Profits
Change-Based Volume Scaling
Ignoring Low or Medium Changes
Overloading
Filtering
Alert Messages w/ Volume Scaling
Let's walk through each of these features in more depth.
The Base Order is the initial Long position within a series. It comes in first and is followed by all of its Safety Orders. The Base Order is set to $25 within the script by default. Keeping the base order low allows one to reserve more of their capital for Safety Orders that are lower within a dip, and thus, lower the user's Position Average. The primary feature of this script is to help users plan their volume scaling strategically, and this is where we start. It's this kind of due diligence and effort in protecting trades that makes this script unique.
So we start with a low Base Order. Then, we follow with a lot of Safety Orders. Typically in DCA this is done in consistent time intervals and in consistent amounts. So in regular DCA one may invest the same amount bi-weekly on pay day. They use the financial instrument as a sort of savings and average their position over their consistent investments. This is not where the bleeding edge of DCA is today though. In modern Doller Cost Averaging, I would expect to see signals and volume scaling based on logic.. as opposed to being consistent intervals.
This sets up the explanation of the primary means of volume scaling within the script. Mathematically, we start with the net balance. This is your specified starting balance plus any wins or losses. Users specify what % of their Available Balance they would like to start with when volume scaling. This percent of capital is then multiplied by a Safety Order Multiplier. The safety order multiplier is made up of a number specified by the user, multiplied by the number of the Safety Order you're on. So user's can control this equation/algorithm and scale their investments as the number of Safety Orders increases and drops in price become more opportune.
The Take Profit within the script lets users specify their desired ROI from a series. So if a user sets a 60% take profit, the script will set a price from the position average that when reached will give the user a 60% ROI for the series including its Base Order and all its Safety Orders.
Before moving on, let's talk about the amazing internal reporting found in the script. When you zoom in on the blue arrows, you can see each trade is accompanied by some extremely helpful information. This is just another feature that makes this script unique, it is the feature that gives us accurate reporting and ultimately allows us to connect with TradingView's Strategy Tester in a way that provides instant backtests with good merit. With this reporting not only can users get reports and information on trades made on different assets with different configurations, but user's can perform a deep dive on each configuration and know exactly what was going on for each trade. The first number is the number of the safety order the script is on. Remember, this is used in the primary volume scaling math. The second number is the amount the script spent on the current trade. The third number denotes the cumulative spending for the series. The final number displays the script's available balance at that time. With these numbers, the TradingView Strategy Tester, and the List of Trades feature, users can practice as much due diligence as they need during their studies.
Let's move on to talking about my favorite suite within the script, the Volume Scaling Suite. Here there are two primary means of controlling volume scaling. Although, in the near future there will be more.
In this suite you'll find Change-Based Volume Scaling and Position Average Volume Scaling. Position Average Volume Scaling is quite easy to explain. This feature only allows signals to pass if they are lower in price than your base order. In this way, users can apply most of their capital to trades that lower their position average. Simply having the money in the market can boost profits, but having a lower Position Average is the entire reason we DCA. Change-Based Volume Scaling is quite a bit more complex.
In theory, one could argue that every moment is a great moment to buy. It's just that some moments are more opportune than others. So it's not about perfect signals as much as it's about proper volume scaling.
Change-Based Volume Scaling allows us to set rules that dictate how much volume scaling is used based on the asset's current delta, or Rate of Change.
Using CBVS, one can downscale capital applied to signals with a low ROC, or simply ignore them. So if a signal comes in and the price hasn't changed very much then you can automatically use less volume for the trade. One can do the same thing for medium changes, and the user can specify what quantifies as a low or medium change. Users can give extra volume to signals with a greater rate of change, or overload signals with a high rate of change! So the CBVS feature gives users the ability to allocate volume based on logic rooted in the asset's rate of change. If a signal has dropped a lot in price, then generally, it is deserving of more capital and that's what makes this feature unique and so powerful.
There are two kinds of Overloading found in the script. There's overloading from CBVS, and then overloading from the 4 signal filtering suites. There's an important difference to note before we move on. Overloading performed by CBVS is based on ignored signals. So if you ignore low or medium change signals, and you have CBVS Overloading on, the script will allocate more capital to High Change signals. When signals are ignored, they are downscaled to $10. Whereas with the filtering suites, if a signal is filtered the Prop Signal triangle marker is removed entirely. The overloading in that scenario is simply applied to signals that aren't filtered. The reason it's done this way is because allowing ignored signals to still come in, with the lowest volume scaling possible, keeps the Safety Order count rising which works in the volume scaling math. This math is intrinsic to getting capital deep within dips and crashes.
So in future versions we may allow ignored signals to be filtered out entirely but for the time being, simply scaling them down to the lowest possible amount is what produces the best and most consistent configurations.
Let's talk about filtering signals, and the overloading provided within each filtering suite.
Here you can see our Overbought & Oversold Heatmap V3. This is a unique indicator that takes 15 common oscillators and visualizes them in a way that clearly denotes confluence. Looking at this indicator makes it easer to read cycles and trends. It is quite common for investors to base their entire scripts on one or more of the oscillators found within the OBOS Heatmap V3. So the OBOS Heatmap V3 is an awesome way to ensure your signals follow an oversold trend! The orange represents an oscillator being oversold, while the yellow represents it being overbought. Generally, when an asset is oversold it is a better time to buy. One can filter signals based on this information and use the Heatmap's unique ability to quantify confluences. In this script users can set a sensitivity and that sets the number of oscillators that must be in agreement before a signal is allowed to pass.
Here are the oscillators found within the OBOS Heatmap:
*Please keep in mind that although some of these oscillators may have big names, the code and math in the script may work differently than you're used to. This is because the code and math is changed quite a bit, and the overall intended functionality of the OBOS Heatmap has a larger scope than any one indicator. It's also important to note that the lengths for these oscillators are set low and are meant to classify the individual signal as either overbought or oversold, and not the entire period. So while the OBOS Heatmap is awesome for trends and cycles, it's ultimately meant to classify individual price bars as either overbought or oversold according to a consensus.*
Relative Strength Index
Money Flow Index
Commodity Channel Index
Aroon Oscillator
Relative Volatility Index
Fast Stochastic Detrended Price Oscillator
Fast Stochastic Elders Force Index
Fast Stochastic Relative Strength Index
Fast Stochastic Relative Vigor Index
Fast Stochastic Klinger Oscillator
Fast Stochastic Awesome Oscillator
Fast Stochastic Ultimate Oscillator
Fast Stochastic Chande Momentum Oscillator
Fast Stochastic On Balance Volume Oscillator
Fast Stochastic Moving Average Convergence/Divergence
Each band of the Overbought & Oversold Heatmap represents an oscillator. When it's orange it's said to be oversold. When it's yellow it's said to be overbought. The indicator turns purple during trends and reversals where it is neither overbought nor oversold. It can differentiate between uptrends and downtrends with differing colors of purple, but the OBOS Heatmap is not used for trends or cycles in this script. It is used to quantify oversold confluence.
Let's talk about the Dominance Suite.
First note in the top portion of the screenshot above, you will see various colors in the script. It replaces the price line with something we call Price Flow bars. So when you add the script it's best to make the stock price line invisible in TV settings. The Price Flow Bars use a preset EMA to color price action as being in either a downward momentum or upward momentum. The triangular signals represent dark teal for the initial long marker within a series, dark green for long orders and long signals that convert into safety orders, and light green for safety orders. This is more logic that makes this script really unique. The dark green initial long marker signals are rarely seen. You can find them at the beginning of a new series of signals and they work to establish when a new series of signals should begin. The dark green signals actually denote a long base order opportunity, but if a series has already started then these signals are converted into Safety Orders. The Safety Orders then come in light green, and red for Prop Shorts. Prop Shorts work with Initial Longs to establish the start of a new series. More on that math I cannot tell.
In the bottom half of the screenshot is the Dominance Suite itself. It's another one of the four filtering suites found in the script. It is made up of 7 oscillators that work to classify a price bar as being controlled by either the bears or the bulls. If a price bar is controlled by the bears it is said to be a better investment. The Dominance Suite works by applying a moving average to the balance of power. This is the way TradingView has intended the balance of power to be used, and works quite nicely in classifying individual price bars as either bearish or bullish. It's not an overall trend indicator as much as it states whether a bar is mostly controlled by the bears or the bulls.
Here are the oscillators found within the Dominance Suite:
SMA of BOP
EMA of BOP
HMA of BOP
WMA of BOP
VWMA of BOP
TEMA of BOP
LSMA of BOP
Within the script, there is an input for a negative threshold. When each of these 7 oscillators is in confluence and below this set threshold, the Prop Long will be allowed to pass as a real trade.
Keep in mind that each filtering suite also has the option to overload signals.
So not only can you filter signals based on these suites but you can also apply additional volume scaling to signals that don't get filtered.
Here we have the True Oscillator. The True Oscillator is a brand new oscillator. It's similar to things like the RSI or DPO, but technically speaking it considers many more factors into its average than other oscillators. It considers balance of power, sentiment, volume, momentum, gravity, and places special-strategic weighting on price data based on whether it's opening, closing, high, or low. If you stack the True Oscillator up with the RSI you'll notice right away they look similar, but each movement is quite different. Overall the movements are more balanced, the individual bars are more consistent with price data, and the swings are more clearly pronounced while simultaneously having a better register of strength in momentum. We use this indicator to filter and overload signals, to trade according to momentum, and to provide a 16th independent oscillator that can check the OBOS Heatmap without having to be confluent.
The final filtering suite is based on Net Volume. It classifies signals as oversold when there is a significant negative trend in net volume. If Net Volume is under 0, and trends downward for either 3, 4, or 5 bars in a row then it will mark a signal as oversold and allow it to pass. Then, if overloading for this suite is turned on it will allocate more volume to signals it does not filter out.
There is a lot that can be said about this strategy. The primary takeaway though is that it's not just one strategy. It's a tool for everyone, to help them plan their approach to different assets in different market climates. This tool can help you study current market conditions. It can allow you to plan a strategic approach to market segments, and see how your strategy would fare if new market data performed similarly. It's not just one strategy, but more of a strategy printer.
The Origin Suite allows users to plan the positioning of their signals. The Overbought & Oversold Suite allows users to filter their signals based on whether or not they are oversold. The Dominance Suite allows users to filter signals based on whether the market is being controlled by the bears or the bulls. The True Oscillator gives users the ability to filter signals based on a deep and powerful momentum oscillator. The Net Volume Suite lets users filter signals based on volume trends. When signals are filtered, signals that pass, can be overloaded with additional volume scaling. Features like Change-Based Volume Scaling and Position Average Volume Scaling give users plenty of inputs to create complex volume scaling strategies. Common-sense DCA inputs allow users to scale into markets the way pros do.
The Broadview Economic Studio is a powerful tool for planning trades with complex volume scaling strategies.
Users can plan their approach to different kinds of markets. They can link the script with their bot or broker like 3Commas, and the script will automatically send the correct volume scaling through to the bot.
Thank you for your time, and for reading the description of the Broadview Economic Studio.
Combo Backtest 123 Reversal & Modified Price-Volume Trend This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The related article is copyrighted material from
Stocks & Commodities.
WARNING:
- For purpose educate only
- This script to change bars colors.
DMT 369 DRAGRONFLY STRATSuccessful traders trade with a fixed plan and without emotion, but this a lot harder than many new traders think. Many never master this skill and suffer continual drawdowns on their accounts as they overtrade high leverage positions in volatile markets.
ĐΜŦ Autobot resolves this issue by taking the human element out of the equation, allowing full automation of trades using TradingView alerts to trigger your favourite trading bot, such as Alertatron or 3Commas.
Being a Trend Reversal Indicator based on Volatility & Average True Range, ĐΜŦ Autobot is designed to identify spots in the market that offer suitable scalp and swing trade opportunities.
Due to popular demand we have expanded our ĐΜŦ Autobot product line to include the new ĐΜŦ Autobot Dragonfly 3-6-9 Edition which combines DMT with 3-6-9 Vortex mathematics, our Titan indicator and a multi-ladder scalping strategy to ensure you maintain a preferable average entry when price action moves against your position.
Indicator View
It its default state the DMT Autobot Dragonfly indicator displays key signal information, such as:
• Support & resistance range lines
• Titan Body Small & Large Time Frame lines
• Long & Short entry positions
• Long & Short position ladders
• Profit targets
Dragonfly displays a range between resistance (upper line) and support (lower line) on the chart.
Once the price is granted support in the range the lower line will turn green. As price action develops it will make repeated attempts to test support. If support holds price will attempt to test the resistance line (red).
When resistance is broken and the price is above the upper line, the line will turn blue confirming the bullish momentum and provide a potential buy opportunity.
Price action will make attempts to test the upper line as support and will keep rising while support is granted.
Once support is lost the upper line will become red once more. As price action develops it will make repeated attempts to test resistance. If resistance holds, the price will attempt to test the support line (green).
When support is broken and the price goes below the lower line, the line will turn red confirming the bearish momentum and provide a potential selling opportunity.
Price action will make attempts to test the lower line as resistance and will keep dropping while resistance is granted.
Titan Body
The Titan Body Small & Large time frame options in the indicator add additional trendlines to the chart to provide further clarity and confirmation to the Support & Resistance range indication.
Once price is granted support by the Small Time Frame trend line the line will turn green. As price action develops it will make repeated attempts to test the Small Time Frame support. Once the price is below the Small Time Frame trend line, the line will turn red and can act as resistance in a trend reversal.
When price is granted support by the Large Time Frame trend line the line will turn cyan. As price action develops it will make repeated attempts to test the Large Time Frame support. Once the price is below the Large Time Frame trend line, the line will turn orange and can act as resistance in a trend reversal.
The Titan Body enabled and customized in the indicator’s style settings,
Alert indicators
DMT Autobot Dragonfly Edition generates signals that can be used to scalp trade a volatile asset.
Signals are enabled and customized in the indicator’s input settings Additional options can be found in the options, but it is recommended that these are left at the default, as shown below. The indicator generates many
Entry and Profit levels can be disabled or customized in the indicator’s style settings,
Tradingview Alerts
Using Tradingview alerts, DMT Autobot Dragonfly signals can be used to trigger a trading bot.
To trigger a long or short position, set the Tradingview Alert Condition to DMT 369 Dragonfly and select the long or short option.
It is recommended that long or short positions are configured to trigger Once Per Bar Close
Ladders can also be triggered using alerts. To trigger a ladder order, set the Tradingview Alert Condition to DMT 369 Dragonfly and select the appropriate Long or Short ADD option that is to be triggered by the relevant values defined in the indicator’s configuration.
It is recommended that ladder orders are configured to trigger Once Per Bar,
To trigger a take profit order, set the Tradingview Alert Condition to DMT 369 Dragonfly and select the Long or Short TP option that is to be triggered by the relevant values defined in the indicator’s configuration.
Take profit orders can be configured as Once Per Bar Close or Once Per Minute.
If you wish to trigger a take profit signal immediately when the indicator’s defined take profit value is achieved, then use the Once Per Bar option.
Selecting Once Per Bar Close to generate a take profit signal is a gamble as the candle may close far away from the defined profit target – positive or negative.
While stops can be used, they are not applicable to the recommended ladder strategy.
Ladder Strategy
The DMT Autobot Dragonfly indicator always turns an underwater position into a win by utilizing a ladder strategy.
By using the recommended defaults, the indicator will trigger ladder orders at 3%, 6% & 9% using increasing order sizes,
Order sizes increase exponentially to ensure a good average price is maintained. If you are not using DMT Autobot Dragonfly signals to trigger ladder or take profit orders, please ensure your trading bot is configured to recalculate the new ladder entry and profit target based on the new average position entry price as each ladder is filled.
If you are using DMT Autobot Dragonfly on a leveraged asset, please ensure the leverage position is configured suitably so that your position is not liquidated if the price rapidly moves against you.
If u are looking for more information or access to the script please private msg me in trading view chat thx for support
Weighted Price Oscillator (STRATEGY)Weighted Price Oscillator is an unique indicator that shows the relationship between two custom variables that trigger signals upon specific conditions. When WPO (short for weighted price oscillator) crosses over the signal or zero line, it creates a buy signal and conversely below the signal or zero line, it generates a take profit signal. All of which are provided that the specific conditions are met.
Inside the script's options, the following options are: signal sensitivity, enable signal background color, and take profit percentage. The signal sensitivity allows you to adjust the script's trigger sensitivity, so that the script can fire signals appropriate for a specific timeframe. Enabling signal background color will provide a visual on the oscillator when a buy or take profit signal is being created. And lastly, the take profit percentage option is for configuring the trade size percentage of which you want to take profit with.
PM me for access.
Trailing EngulferTrailing Engulfer is a price action strategy that uses trailing orders that makes use of any timeframe although shorter timeframes are typically used with price action trading. due to it being price action related, there are some differences needed when trading with different assets. This strategy is recommended to be used for stocks and futures only although it can be used on others. There are two specific inputs that pertain to futures: trailing trigger and trailing offset. Futures price changes in ticks and tick values are supposed to be used here, whereas the percentage fields are primarily for stocks.
Inputs:
Futures: Trailing Trigger - used for futures only and the value represents the number of ticks you wish for a trailing order to enter. For example: if set to 4 ticks, the trailing stop will not be created until after 4 ticks of profit has been reached.
Futures: Trailing Offset - used for futures only and the value represents the number of ticks you wish the stop to trail the price. For example: if set trigger is set to 4 and offset is set to 3, then the trailing stop order will be created once a profit of 4 ticks has been reached and the trailing stop will be 3 ticks against you.
Max Loss (%) - used for stocks only and the value represents the maximum loss you are willing to take in case the trailing stop hasn't yet been made. For example: you wish the trailing stop to be created once it has made 1% profit. If it never reaches that, it will close at this Max Loss value.
Trailing Trigger (%) - used for stocks only. It works similar to the futures trigger other than the fact that it uses % rather than ticks.
Trailing Offset (%) - used for stocks only. It works similar to the futures trigger offset other than the fact that it uses % rather than ticks.
Futures also have a "Max Loss" but it is not user defined. For futures, the max loss is not based on a tick loss but rather entirely on the asset's price action.
Futures also makes use of shorting.
Buy Any Bar By ChenycoBuys amount of shares by bars with specified amount of money (100$ for a month bar for example).
Including commissions.
Channel Break [for free bot]I present to you a script for testing the channel breakout strategy for the Bitmex exchange.
Cryptocurrency itself is a trending tool, which is why breakout strategies generate the largest profits, and the channel breakout strategy is one of the most effective trend strategies.
The optimization result shows the result of trading on a volume of 20% of the deposit. But since Bitmex trades in futures contracts, you can use 50%, 100% and even much more, depending on your attitude to risk.
At the time of publication on the Bitmex exchange there are 12 different contracts, i.e. You can diversify your trading well (by pre-optimizing the settings for each contract).
In the script, you can set up many trading options - timeframe, periods for buying and selling, method of exiting a trade, stop loss, take profit, risk management, etc.
Thus, you create a strategy "for yourself".
Представляю Вам скрипт для тестирования стратегии пробоя канала для биржи Битмекс.
Криптовалюта, сама по себе является трендовым инструментом, именно поэтому, пробойные стратегии генерируют самую большую прибыль, а стратегия пробоя канала – является одной из самых эффективных трендовых стратегий.
На результате оптимизации показан результат торговли на объеме в 20% от депозита. Но так как на Битмекс торговля идет фьючерсными контрактами, Вы можете использовать 50%, 100% и даже намного больше, в зависимости от Вашего отношения к риску.
На момент публикации на бирже Битмекс есть 12 разных контрактов, т.е. Вы можете хороши диверсифицировать свою торговлю (предварительно оптимизируя настройки по каждый контракт).
В скрипте Вы можете настроить множество вариантов торговли - таймфрейм, периоды для покупки и продажи, метод выхода из сделки, стоп-лосс, тейк-профит, рискменеджмент и т.п.
Таким образом Вы создаете стратегию "под себя".
PROFIT + V2We are glad to introduce you our new strategy PROFIT +.
The strategy PROFIT + is based on price and volume correlation analysis.
The entries are quick with tight stop loss. Best suits fot those who like
to get quick profit in the beginning of the price move.
It was tested on BTC , Bitmex exchange on 1 hour timeframe,
but it can also be used on 30, 15 and 10 minutes tf.
There is also ALERT INDICATOR for the strategy to receive notification
when there is a buy/sell signal.
To get acces to the strategy pm me.
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Рады представить нашу новую торговую стратегию PROFIT+.
Стратегия PROFIT + основана на анализе корреляции цены и объёма.
Входы в стратегии быстрые с коротким стопом. Больше подходит для
тех кто любит забирать быстрый профит в самом начале движения.
Стратегия была тестирована на инструменте BTC биржа BITMEX
на 1 часовом таймфрейме, но она также работает на 30, 15 и 10 минутных тф.
Для стратегии также доступен ИНДИКАТОР АЛЕРТ для получения оповещения
при появлении buy/sell сигналов.
Для получения доступа к стратегии пишите мне в личные сообщения.
Dominator Ladder StrategyThe Dominator is a technical indicator. Based on algorithm calculations, this indicator extrapolates the previous price for the next bar.
Here is how Dominator is calculated:
1. The study estimates the price projected for the next bar. The estimated price is based on the algorithm method.
2. The study extrapolates this value to find a projected price change for the next bar.
The resulting extrapolated value is shown as a histogram on a lower subgraph. By default, sections of the histogram where the extrapolated value is increasing are shown in green; sections corresponding to the decreasing value are shown in red.
Note: Value projection is purely mathematical as all calculations are based on algorithm averaging of previous values.
Note: lower subgraph it's just for you to understand and view the waves during the Strategy process Study it's not included in this strategy.
Overlay True
The strategy includes 3 different adjustable levels for the ladder , plus automatic adjustable stop loss and takes profit calculated from your average entry price after each ladder adds.
Adjustable BAcktest Window.
1 long signals
3 ladder long add signals
1 short signals
3 ladder short add signals
1 dynamic stop calculated from your average entry price
1 dynamic take profit calculated from your average entry price
Volume and Price Moving average StrategyNAME : Volume and Price Moving average Strategy
SUMMARY
Long when Indicator >= BuyandSell
Short when Indicator < BuyandSell
It is an index created by combining the moving average of trading volume and price.
To avoid future reference, you must set the Candle Chart time and Resolution Time equally.
If you set it differently, there is a gap in yield due to future reference.
For MA Type and MA period, it is to select what the moving average of the price will be set to.
For Indicator Value, it is about the set value of this indicator.
Price Type is what to use for price. Market price, low price, closing price, high price, typical price (market price + high price + low price) / 3, center (market price + high price) / 2
There are six types.
BuyandSell is to set the index value to enter and clear. The default is 0.
Although it can be set to 0 or more, there is a risk of over-optimization.
As you can see from the profit curve, Bitcoin is a good strategy that works well when volatility is high.
MDD is too large to operate with this indicator alone, so it would be good to use it with other indicators.
If you leave a good indicator comment, I'll test it. Thank you.
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Korean
거래량과 가격의 이동평균을 조합하여 만든 지표입니다.
미래참조를 피하기 위해서는 반드시 캔들 차트의 시간과, Resolution Time을 똑같이 설정해야 합니다.
다르게 설정할 경우 미래참조로 인한 수익률 괴리가 생기니 꼭 똑같이 설정해주세요.
MA Type, MA period의 경우 가격의 이동평균을 무엇으로 설정할 것인지 선택하는 것 입니다.
Indicator Value의 경우 이 지표의 설정 값에 대한 것입니다.
Price Type은 가격으로 무엇을 사용할 것인지 입니다. 시가, 저가, 종가, 고가, Typical Price (시가+고가+저가)/3, Center(시가+고가)/2
이렇게 6종류가 있습니다.
BuyandSell은 진입, 청산할 지표값을 세팅하는 것입니다. 기본값 0입니다.
0이상, 이하로도 설정할 수 있지만, 그렇게 할 경우 과최적화의 위험이 있습니다.
수익 곡선을 보시면 아시겠지만 비트코인이 변동성이 클 때 잘 먹히는 좋은 전략입니다.
이 지표만으로는 MDD가 너무 커서 운용하기 힘드니 다른 지표와 같이 활용하시면 좋을 것 같습니다.
좋은 지표 코멘트로 남겨주시면 테스트 해보겠습니다. 감사합니다.
Strategy based on the principles of Price ActionIt is considered the percentage of candles with low and high closure for a certain period. Then, a moving average is built from these values. When the moving average of the ratio of tall candles to low candles is greater than the ratio of low candles to high, then long (that is, when the green line crosses the red). And vice versa - a condition for short. It also works on crypto with other settings. Idea for improvement: you can make partial exit by taking, at certain profit levels, the chart will be more stable. Result with a commission of 0.004% You can create an optimizer, and use this strategy on any liquid asset. (Sorry for google translator)
PRICE ACTION VIGORThis is the first of my RENKO strategies and studies series.
I'm developing some studies on Renko charts from a while and now is time to share the results.
This startegy is based on this idea: to measure the "vigor" or strength of a price action and to follow it.
I use Renko charts to identify the price action.
The indicator will rise or fall when a price action starts and it is flat at half of this movement.
Time frame should be 1 minute but I would need a premium account to have RENKO charts with one minute.
The most important point for this strategy is to set the correct brick size for each symbol.
Look in the result how you could obtain starting with a 1000€ account in just few months.
I have also a study with alerts so one could use autoview for automated trading. If you are interested to use it, follow me and add a comment.
Please use comment section for any feedback.
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I have developed an expert advisor for metatrader4 (MT4) and for jforex platform: results of expert advisor form 2015-01-01 to 2018-11-25 are very good with low drawdown and good profit.
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Relative Estimated Price KivanÇ version (Strategy) By Wicksell Thanks to the great work of KIVANÇ in the Relative Estimated Price REP by KIVANÇ fr3762, it has adapted modifications in the Lookback bar length, transformed into strategy, where a line determines a relative average price of XBTUSD, BTCUSD, ETHUSD and BCH.
the line is a calculation, where it involves reading previous candles where it determines what the current price should be.
When the REP line is above the candle, open buy and close sell, when it is below, open sell and close buy.
When setting which currency, do not forget to change the settings where they are:
1 - XBTUSD
2 - BTCUSD
3 - ETHUSD
4 - BCHBTC
may also be modified:
the Lookback bar length, stop loss settings, test date.
The best results are in the 1H time, with the default settings, but try to modify the data and if you find better results, I would be grateful if you post here.
Hyper SushiRSIThis is a very frequent trading version of the Fletcher SushiRSI, targeted at BTC/USDT on the 45m timeframe using Heikin Ashi candle sticks.
dP magnet//Strategy based on the idea that stop loss and take profit are often placed at full price levels or round numbers, whcih acts as resistance and supports levels
//Buy Rules:
//Actual price (close) is above round number.
//Round number level was not touched in previous ten bars (arbitrary value).
//Place a buy and follow the order with a trail step because price can bounce at round number (support) or can go through it.
//Sell Rules are the same of buy rules but inverted.
//
//Need improvement on conditions' logic and round numbers definitions
Babypips: Inside Bar Momentum StrategyThe strategy contained in this post comes courtesy of babypips (.com), an excellent resource for all thing forex related. If you are new to trading, the site is definitely worth checking out!
Code commentary and an introduction to Inside Bars are available for this post on the Backtest-Rookies (.com) website.
Note: If you are interested in custom development services, please check out our services page on the Backtest-Rookies site.
Strategy Overview
Inside Bar Momentum Strategy.
Inside Bar Detection
Position sizing based on stoploss distance ( Note: Based on equity and assumes that the account currency is the counter currency.
Stop buys for entries
Takeprofit / Stoplosses for exits
Control Stopbuy, Takeprofit and Stoploss targets with inputs
Control Backtest start/end dates
Stupid strategyStrategy with simple stop-loss and take-profit in percentage. If last trade was a successful one then repeat it. If not successful - do a reversal trade.
Engineered strategyThis strategy is based on volumes and Bill Williams indicators.
The idea is simple:
- if price has enough boost then follow the trend
- if the boost is slowing down then bet on trend reversal
Results are very good: look at maximum drawdown and percent profitable.
If you are intested on this strategy, I devoleped also the study with alarms.
I will post results on multi-timeframes.
