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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.
Pine Script™策略
由IndicatorSavvy提供
5
VWMA/SMA 3Commas BotThis strategy utilizes two pairs of different Moving Averages, two Volume-Weighted Moving Averages (VWMA) and two Simple Moving Averages (SMA). There is a FAST and SLOW version of each VWMA and SMA. The concept behind this strategy is that volume is not taken into account when calculating a Simple Moving Average. Simple Moving Averages are often used to determine the dominant direction of price movement and to help a trader look past any short-term volatility or 'noise' from price movement, and instead determine the OVERALL direction of price movement so that one can trade in that direction (trend-following) or look for opportunities to trade AGAINST that direction (fading). By comparing the different movements of a Volume-Weighted Moving Average against a Simple Moving Average of the same length, a trader can get a better picture of what price movements are actually significant, helping to reduce false signals that might occur from only using Simple Moving Averages. The practical applications of this strategy are identifying dominant directional trends. These can be found when the Volume Weighted Moving Average is moving in the same direction as the Simple Moving Average, and ideally, tracking above it. This would indicate that there is sufficient volume supporting an uptrend or downtrend, and thus gives traders additional confirmation to potentially look for a trade in that direction. One can initially look for the Fast VWMA to track above the Fast SMA as your initial sign of bullish confirmation (reversed for downtrending markets). Then, when the Fast VWMA crosses over the Slow SMA, one can determine additional trend strength. Finally, when the Slow VWMA crosses over the Slow SMA, one can determine that the trend is truly strong. Traders can choose to look for trade entries at either of those triggers, depending on risk tolerance and risk appetite. Furthermore, this strategy can be used to identify divergence or weakness in trending movements. This is very helpful for identifying potential areas to exit one's trade or even look for counter-trend trades (reversals). These moments occur when the Volume-Weighted Moving Average, either fast or slow, begins to trade in the opposite direction as their Simple Moving Average counterpart. For instance, if price has been trending upwards for awhile, and the Fast VWMA begins to trade underneath the Fast SMA, this is an indication that volume is beginning to falter. Uptrends need appropriate volume to continue moving with momentum, so when we see volume begin to falter, it can be a potential sign of an upcoming reversal in trend. Depending on how quickly one wants to enter into a movement, one could look for crosses of the Fast VWMA under/over the Fast SMA, crosses of the Fast VWMA over/under the Slow SMA, or crosses over/under of the Slow VWMA and the Slow SMA. This concept was originally published here on TradingView by ProfitProgrammers. Here is a link to his original indicator script: I have added onto this concept by: converting the original indicator into a strategy tester for backtesting adding the ability to conveniently test long or short strategies, or both adding the ability to calculate dynamic position sizes adding the ability to calculate dynamic stop losses and take profit levels using the Average True Range adding the ability to exit trades based on overbought/oversold crosses of the Stochastic RSI conveniently switch between different thresholds or speeds of the Moving Average crosses to test different strategies on different asset classes easily hook this strategy up to 3Commas for automation via their DCA bot feature Full credit to ProfitProgrammers for the original concept and idea. Any feedback or suggestions are greatly appreciated.
Pine Script™策略
由CrackingCryptocurrency提供
6
3Commas Dollar cost averaging trading system (DCA)As investors, we often face the dilemma of willing high stock prices when we sell, but not when we buy. There are times when this dilemma causes investors to wait for a dip in prices, thereby potentially missing out on a continual rise. This is how investors get lured away from the markets and become tangled in the slippery slope of market timing, which is not advisable to a long-term investment strategy. Skyrex developed a complex trading system based on dollar-cost averaging in Quick Fingers Luc's interpretation. It is a combinations of strategies which allows to systematically accumulate assets by investing scaled amounts of money at defined market cycle global support levels. Dollar-cost averaging can reduce the overall impact of price volatility and lower the average cost per asset thus even during market slumps only a small bounce is required to reach take profit. The strategy script monitors a chart price action and identifies bases as they form. When bases are reached the script provides entry actions. During price action development an asset value can go lower and in this way the script will perform safety entries at each subsequent accumulation levels. When weighted average entry price reaches target profit the script will perform a take profit action. Bases are identified as pivot lows in a fractal pattern and validated by an adjustable decrease/rise percentage to ensure significancy of identified bases. To qualify a pivot low, the indicator will perform the following validation: Validate the price rate of change on drops and bounces is above a given threshold amount. Validate the volume at the low pivot point is above the volume moving average (using a given length). Validate the volume amount is a given factor of magnitude above is above the volume moving average. Validate the potential new base is not too close to the previous range by using a given price percent difference threshold amount. A fractal pattern is a recurring pattern on a price chart that can predict reversals among larger, more chaotic price movements. These basic fractals are composed of five or more bars. The rules for identifying fractals are as follows: A bearish turning point occurs when there is a pattern with the highest high in the middle and two lower highs on each side. A bullish turning point occurs when there is a pattern with the lowest low in the middle and two higher lows on each side. Basic dollar-cost averaging approach is enhances by implementation of adjustable accumulation levels in order to provide opportunity of setting them at defined global support levels and Martingale volume coefficient to increase averaging effect. According to Quick Fingers Luc's principles trading principles we added volume validation of a base because it allows to confirm that the market is resistant to further price decrease. The strategy supports traditional and cryptocurrency spot, futures , options and marginal trading exchanges. It works accurately with BTC, USD, USDT, ETH and BNB quote currencies. Best to use with 1H timeframe charts and limit orders. The strategy can be and should be configured for each particular asset according to its global support and resistance levels and price action cycles. You can modify levels and risk management settings to receive better performance The difference between core script and this interpretation is that this strategy is specially designed for 3Commas bots How to use? 1. Apply strategy to a trading pair your are interested in using 1H timeframe chart 2. Configure the strategy: change layer values, order size multiple and take profit/stop loss values according to current market cycle stage 3. Set up a TradingView alert to trigger when strategy conditions are met 4. Strategy will send alerts when to enter and when to exit positions which can be applied to your portfolio using external trading platforms 5. Update settings once market conditions are changed using backtests on a monthly period
Pine Script™策略
由Skyrexio提供
1
Dollar cost averaging (DCA) QFL IndicatorAs investors, we often face the dilemma of willing high stock prices when we sell, but not when we buy. There are times when this dilemma causes investors to wait for a dip in prices, thereby potentially missing out on a continual rise. This is how investors get lured away from the markets and become tangled in the slippery slope of market timing, which is not advisable to a long-term investment strategy. Skyrex developed a complex indicator based on dollar-cost averaging in Quick Fingers Luc's interpretation. It is a combinations of strategies which allows to systematically accumulate assets by investing scaled amounts of money at defined market cycle global support levels. Dollar-cost averaging can reduce the overall impact of price volatility and lower the average cost per asset thus even during market slumps only a small bounce is required to reach take profit. The indicator script monitors a chart price action and identifies bases as they form. When bases are reached the script provides entry alerts. During price action development an asset value can go lower and in this way the script will perform safety entries alerts at each subsequent accumulation levels. When weighted average entry price reaches target profit the script will perform a take profit action alert. Bases are identified as pivot lows in a fractal pattern and validated by an adjustable decrease/rise percentage to ensure significancy of identified bases. To qualify a pivot low, the indicator will perform the following validation: Validate the price rate of change on drops and bounces is above a given threshold amount. Validate the volume at the low pivot point is above the volume moving average (using a given length). Validate the volume amount is a given factor of magnitude above is above the volume moving average. Validate the potential new base is not too close to the previous range by using a given price percent difference threshold amount. A fractal pattern is a recurring pattern on a price chart that can predict reversals among larger, more chaotic price movements. These basic fractals are composed of five or more bars. The rules for identifying fractals are as follows: A bearish turning point occurs when there is a pattern with the highest high in the middle and two lower highs on each side. A bullish turning point occurs when there is a pattern with the lowest low in the middle and two higher lows on each side. Basic dollar-cost averaging approach is enhances by implementation of adjustable accumulation levels in order to provide opportunity of setting them at defined global support levels and Martingale volume coefficient to increase averaging effect. According to Quick Fingers Luc's principles trading principles we added volume validation of a base because it allows to confirm that the market is resistant to further price decrease. The indicator supports traditional and cryptocurrency spot, futures, options and marginal trading exchanges. It works accurately with BTC, USD, USDT, ETH and BNB quote currencies. Best to use with 1H timeframe charts and limit orders. The indicator can be and should be configured for each particular asset according to its global support and resistance levels and price action cycles. You can modify levels and risk management settings to receive better performance Advantages of this indicator: The indicator has custom alert settings for each strategy action The indicator can be used with 3Commas, Cryptohopper, Alertatron or Zignaly bots The indicator is sustainable to market slumps and can be used for long-term trading The indicator provides a large number of entries which is good for diversification Can be applied to any market and quote currency Easy to configure user interface settings How to use? 1. Apply indicator to a trading pair your are interested in using 1H timeframe chart 2. Configure the indicator: change layer values, order size multiple and take profit/stop loss values according to current market cycle stage 3. Set up a TradingView custom alert using the indicator settings to trigger on a condition you are interested in 4. The indicator will send alerts when to enter and when to exit positions which can be applied to your portfolio using external trading platforms 5. Update settings once market conditions are changed using backtests on a monthly period
Pine Script™指標
由Skyrexio提供
1
VXMA BotThis strategy is separated version of Cloud MA form VXD Cloud Edition, Let called it "VXMA". what's changed? renew TP/SL Work Simplify code and clean look. Risk:Reward Calculation Risk of Ruin Setting can now selected between Fixed $ or % if Buy your Stoploss will be Swing low if Sell your Stoploss will be Swing high and can be setting at Pivot Setting then Auto Position Sizing and TP line will be calculated form there and will show in Orange color line (Draw Position Box is available) Alert Setting {{strategy.order.alert_message}} Python-Bot github.com There are 2 mode : one-way mode and hedge mode is different script on my Github profile. read README. MD and there's video tutorial. Pls study app.py and it's script before deploy for your own safty and your own risk, I'm NOT responsible for your loss. GOODLUCK
Pine Script™策略
由Vvaz_提供
4
3C QFL Mean reversalWhat is QFL trading strategy? QFL stands for Quickfingersluc, and sometimes it is referred to as the Base Strategy or Mean Reversals. Its main idea is about identifying the moment of panic selling and buying below the base level and utilizing Safety orders. What is Base level or Support Level? Base level or Support Level refers to the lowest price level that was reached before the moment the price started increasing again. At that level, you can notice that buyers of some cryptocurrencies make a strong reaction. In this strategy we can also reverse the strategy and go short. But i must warn you that that is alot riskier. QFL is meant to be used on higher TF's like 1hr, 2hr and 4hr. But this strategy also work well on lower Timeframes. The script also simulates DCA strategy with parameters used in 3commas DCA bots for futures trading. Experiment with parameters to find your trading setup. Beware how large your total leveraged position is and how far can market go before you get liquidated! Do that with the help of futures liquidation calculators you can find online! Included: An internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage. A graphic interface, so levels are clearly visible and back-test analyzing made easier. Long & Short direction of the strategy. Table display a summary of past trades Vertical colored lines appear when the new maximum deviation from the original price has been reached All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
Pine Script™策略
由Kveie提供
95
Scot Signal IndicatorThe Scot Signal Indicator is intended as a Scalping Resource. It was designed to work best on the ❗❗ 5 MINUTE CHART with Bitcoin ❗❗ / USD & USDT pairs. 🟡🔼🔽 Yellow Triangles : these are pre-signals. If the triangle is Pointing Down, then look for a possible Short to come, and vice-versa for Upward facing triangles will go Long. * Be careful, this is a Canary in the Coal Mine, but not the full signal. Going purely on the triangle as a signal could lead to fake-outs more frequently. 🟩 🟥 Green & Red Boxes : these are "Long" & "Short" signals where the indicator feels the time is safe to enter a trade. ❗ EXITING THE TRADE ❗ : this is a scalping indicator, specifically meant for entering trades, NOT EXITING them. An ideal scalp is $100 - $200 Bitcoin move. Though, we run bots using this indicator, taking scalps as little as $60, performing up to 8 trades a day.
Pine Script™指標
由VirlVideo提供
5
3D GATOR %HLThis indicator tracks the 3 day trading bots and measures the high and the low (%). Usually a trend can change or continue every 3 days. When volatility decreases and both values are the same gator is going to open its jaws so it's a good time to open a position long. Avoid shorts during low volatility. On the other hand when volatility increases, and gator has its jaws wide open is a good time to look for shorts. That's pretty much it. This indicator was designed by me and created by Marketwatcher.
Pine Script™指標
由calster提供
DMT TEMPELTON PECKIntroduction Bring your A-game to the market in A-Team style with DMT Templeton Peck – you’ll love it when this plan comes together! Using customized standard deviations between historic price action ranges and volume metrics, DMT Templeton Peck enables traders to never miss a change in trend. In its default state, the DMT Templeton Peck indicator displays key information, such as: • Small trend line • Large trend line • Position entry prices • Take profit levels • Stop levels • Buy and sell trend signals In addition to providing core functionality for the indicator’s strategy signals, traders can use this data to enter or exit trades. When price crosses both trend lines and consolidates there is a high probability that price will continue to move in the same direction. The most profitable results are achieved when trading in the direction of the current large time frame trend. When small and large trend lines cross a trading signal is generated which can be used to automate trades. Please see the ‘TradingView Alerts’ section of this document for further details. The Small & Large trend line’s display can be toggled, and their colors modified in the indicator’s style options as shown below. Basic Strategy In its simplest form, the strategy is to buy when the price crosses and consolidates above both trend lines and sell when the price crosses and consolidates below both trend lines. How to Trade Confident traders may choose to enter a long position at the point #1 when the price passes above both trend lines and begins to consolidate. However, the safer trade is to wait for the trend lines to cross at a point #2 and then look for an entry in the direction of the local trend. One price action begins to reverse to the downside the strategy reverses. Confident traders may choose to enter point #3 when the price passes both trend lines and begins to consolidate once again under the previous price action structure that is now acting as resistance. A sell signal is generated at the point #4 which produced a small profit; however, a new short position could have been opened when the price retraced to resistance at a point #5 and experienced a repeated number of strong rejections. Do not worry if you miss a trade as there is often more than a single opportunity to enter – like at position #5 when price action retests the previous local price structure as resistance. The indicator can be used on smaller time frames to scalp or find an entry after a larger time frame has signaled, however smaller time frames will also be “choppy” and should only be traded with a paper-tested strategy. Traders should take profit on positions at resistance & support levels and look to have fully exited the trade by the time the price crosses back over both trend lines and/or loses a previously established price level. Indicator Tuning In its default state the indicator is tuned for swing trades using 30 minute & 1 hour time frames, however, you are encouraged to experiment with the indicator options. Large & Small Length options define how many historic candles are used for the calculation of the relevant trend line. As a rule of thumb, larger time frames would use smaller values and smaller time frames would use larger values, ie. On a daily chart, a large and small length could be defined as 400 and 100 respectively. Please be aware that there are limits to the amount of historical data for any intraday level based on your TradingView subscription level: • Basic – 5000 bars/candles • Pro & Pro+ - 10000 bars/candles • Premium – 20000 bars/cables TradingView Alerts By utilizing TradingView alerts DMT Templeton Peck's long and short signals can be used to trigger a trading bot. To trigger a long position, set the TradingView Alert Condition to the DMT Templeton Peck indicator and select the ‘Long’ trigger condition with the ‘Once Per Bar Close’ option for best results. To trigger a short position, set the TradingView Alert Condition to the DMT Templeton Peck indicator and select the ‘Short’ trigger condition with the ‘Once Per Bar Close’ option for best results. Take profit options ‘Long_TP_1’ / ‘Short_TP_1’ and Stop options ‘Stop_long’ / ‘Stop_Short’ can also be configured in the same manner to conditionally trigger a trading bot and can be configured in the indicators Input options.
Pine Script™指標
由AppTradingRobots提供
1
Crypto Spot Market BotHello Friends. This script is only for long positions. How does the algorithm work ? The Relative Momentum Index Relative Strength İndex Average Directional Movement İndex Momentum When rsi and adx produce signals in the same direction, the rmi indicator confirms the signal. After the Confirmed Signal, the buy-side transaction is entered , the closed according to the % of profit taking and stoploss specified on the algorithm in the entered transaction. In the spot market, it is possible to make money even in a down trend All shared charts run within a 1-hour time frame. Note : The shared backtest results have been shared as of 9/9/2021 by calculating 50% balance and 2 pyramiding methods in an account of 1000 dollars. Keep in mind that this algorithm will want to try to average down in possible worst-case scenarios. 2% - %3take profit levels will provide consecutive gains in the spot market. How should the adjustments be made? Value variables should be made according to formula a and formula b values ​​and backtest results. You can increase the frequency of transactions by lowering the adx and rsi values. Alarm Features ; Signal Alert TakeProfit Alert Stoploss Alert. Overview : Backtest Script Link :
Pine Script™指標
由8aLt4提供
1
Zendog V3 backtest DCA bot 3commasMAJOR UPDATE: - Update to Pinescript v5 - MAJOR refactor for the logic of how orders are placed. BO order is placed when the condition is first encountered and we are not in a deal. The extra SO orders (if based on price movement) are all placed on the next candle after BO order, instead of each being placed one after another. Take profit (if percentage) and Stop loss are placed on the first candle after BO order because if BO and TP are on the same candle TV does not execute properly. These changes should improve strategy accuracy when multiple prices are hit by the same candle. - NEW FEATURE: Support to Stop deal using an external indicator (i.e. stop long deal when RSI > 80) - NEW FEATURE: Support to trigger Safety orders using an external indicator (i.e. trigger each additional SO when RSI < 10, regardless of price movement) The price movement logic may be implemented in the indicator that plots start / end signals. The SO size is calculated using the configuration of steps. - NEW FEATURE: Safety order command for 3commas bot. This is implemented using Add funds in the quote currency (for pair BTCUSDT the quote currency is USDT) The SO size is calculated using the configuration of steps, for exact order size (and price) use the built-in Steps table. - NEW FEATURE: Addition of extra columns to the steps table: Required price for TP, Required % change for TP, Required % change for BEP (Breakeven point) - Update to steps table to remove prices when Safety orders are not based on % price change - The code is opensource. I will not be able to sustain merges for the script, but feel free to use and develop your own version and ping me on discord to review them and maybe include in the original script
Pine Script™策略
由zendog123提供
53
Wunderbit HRT BotWunderbit HRT is a proprietary indicator designed to find pivot points in the cryptocurrency market. Working timeframes from 30 minutes and above. The indicator is designed to create automated trading strategies using a webhook. To create a cryptocurrency robot for this indicator, you need: 1. Create alerts and bind the URL to the webhook. 2. Link the Tradingview indicator to automation services. For signals, alerts are used: LONG and SHORT Recommendations for the indicator: 1. Use DSA technology for automation. 2. Be sure to disable the "multiple inputs" function. 3. Use an indicator with oscillators or MACD to confirm the entry point.
Pine Script™指標
由Wunderbit提供
4
WaveTecs StrategyWelcome to the Backtesting version of "WaveTecs Strategy", the indicator itself is an invite-only script called "WaveTecs Indicator" on TradingView. WaveTecs Strategy WaveTecs is a Strategy that combines Wave Trend Oscillator and verifies wave momentum by using RSI and Stochastic Oscillator Values. What is Wave Trend? One of the most effective indicators in identifying swings is the Wave Trend indicator. Wave Trend plots waves using highs and lows between an upper band and a lower band. It looks for the opening and closing of a new wave trend movement as well as overbought and oversold areas. How does this modified strategy work? By using RSI and Stochastic values we are able to verify Wave inflection points to determine if there is a suitable amount of momentum to ride the swing and make profitable trades. Positions are taken or closed based on the rising or falling momentum. Each value input can be adjusted to best suit the type of market you are trading in. By using the strategy we can optimize these value inputs to yield greater net profits. I have found the RSI and Stochastic values hugely impact entries and exits regarding trades. For Long conditions: - RSI & Stochastic needs to be increasing and moving out of oversold conditions to show positive momentum. - Falling momentum results in a sell signal. I have found RSI less than 65 to be sufficient in most markets however this can be adjusted at any time to yield different results depending on your comfort level. For Short conditions: - RSI & Stochastic needs to be decreasing and moving out of overbought conditions to show negative momentum. Generally, Wave Trend Strategies only take trades that are outside of the bands. This strategy allows trades inside and outside of the bands, which can be selected under the input section title "Aggressive Trading". Trading in this mode is more frequent as signals are often. Due to volatility in crypto markets, I have defaulted the source for Wave Trend waves to be Open/High/Low/Close Average which yielded great results. High/Low/Close average works very well for all other securities, and can easily be adjusted through the drop-down menu inside the inputs. Works for all types of markets. Parameters can be adjusted but not required as indicator values are standard in the industry. The default parameters are set to those typically used in the markets currently. However, I have found that if you adjust you to adjust the parameters based on your asset and time frame desired you will yield different results. ---------------- For example: ---------------- ETHUSDT - 4 HR, results are shown below Wave Trend Parameters: Aggressive Trading: Yes Channel Length: 12 Average Length: 24 Overbought Top: 90 Overbought Bottom: 75 Oversold Bottom: -90 Oversold Top: -55 Source: hlc3 Strategy Type: Trade Direction: Long Only Stochastic Inputs: Stoch Length: 18 Smoother %K: 5 Moving Average %K: 4 %K Lower Limit: 21 %K Upper Limit: 80 %K Crossunder Sell: 80 Relative Strength Index Inputs: RSI Lower Limit: 30 RSI Upper Limit: 70 RSI Sell Value: 68 ================== WaveTecs Features ================== Profitable Trading Strategy; Aggressive Trading feature for more trades, with earlier entries and exits; Customizable inputs to fine-tune your trades; Buy & Sell Alerts (Indicator Only); Overlay indicator only to show alerts, WaveTecs Strategy needed to see Wave Trend; Bot Integration through webhooks; Two different strategy modes: Long Trades Only or Long & Short Trades Adding new features & updates whenever possible. Add both WaveTecs Indicator and WaveTecs Strategy to your chart. WaveTecs Indicator only plots Buy & Sell Alerts, whereas WaveTecs Strategy lets you see what the strategy is doing.
Pine Script™策略
由UnknownUnicorn3275974提供
20
UT Bot v5This is an update by request, on someone elses strategy! well more of an edit, but also update from pine v4 to pine v5. //CREDITS to HPotter for the orginal code. The guy trying to sell this as his own is a scammer lol. //Edited and converted to @version=5 by SeaSide420 for Paperina The UT Bot v5 is Movinging average (the MA) vs ATR (the ATR is in the form intended for use as trailing stop loss (ATR_TSL)) Entry logic: buy = the MA > ATR_TSL and Price > ATR_TSL sell = the MA < ATR_TSL and Price < ATR_TSL The Moving average type can be changed in the settings: options = "SMA", "EMA", "WMA", "HMA"] the edits i made were: convert to v5 Add TP and SL Add Buy only or Sell only option Add MA type option Add price source option Draw MA and ATR_TSL on-chart
Pine Script™策略
由SeaSide420提供
17
neutronix community bot ML + Alerts 4h-daily (mod. capissimo)Gm traders, i have been a python programmer for some years studying artificial intelligence for general purpose; after some time i finally decided to have a look at some finance related stuff and scripts. Moved by curiosity i've decided to make some but decisive modifications to a script i tried to use initially but without success: the LVQ machine learning strategy. So after studying the charts and indicators, i have rewritten this script made by Capissimo and added heavy filtering thanks to vwap and vwma, then fixed repaint and other issues. I hope you enjoy it and that it could increase your possibilities of success in trading. HOW TO USE THE SCRIPT Add the script to 3h+ charts like for example BTC 4h, 6h, 8h, 12h, daily. (In order for it to work on shorter timeframes charts you can try to change to lookback window but i dont advise it). Change only rsi and volfilter(volume filtering) settings to try to find the best winrate. Leave dataset to open. Fyi the winrate isn't 100% accurate but can give you a raw vision of final results. Use alerts included for trading and and in options click on 'Once per bar'. If you have checked 'Reverse Signals' in the control panel you have got more 'risky' signals so be advised if trading futures and stocks. Exit trade signals not provided, so it is recommended the use of take profits and stop loss (1.5:1 ratio) As always, the script is for study purposes. Do not risk more than you can spend! Original LVQ-based strategy made by capissimo Modified by gravisxv 13/10/2021
Pine Script™指標
由gravisxv提供
92
QaSH DCA AlgorithmQaSH DCA Algorithm implements a DCA strategy that takes advantage of price volatility by buying dips to average down, and adjusting price targets as the break-even price gets lower. How does the DCA strategy work? When the specified entry condition has occurred, the indicator will set up several limit orders below the current price. If price goes up a specified amount, then the layers will be overwritten at the higher prices. If price goes down and fills the first layer (limit order), then the Take Profit price is plotted and will be sent in an alert. If more layers are filled, then the TP price will move down accordingly as it’s based on the average entry price (alerts on each TP update). This action of lowering the average entry and TP price mitigates your risk, and increases the likelihood of a Take Profit event happening. More entry conditions will be added as time goes on, although complex entry conditions are not necessary for the strategy to work. All the meat of the DCA strategy is in the layer placement, order volume , and TP %. How does this differ from other DCA bots? 1) The layer placements, order volume , and “take profit %” for each layer or “safety order” is much more customizable than what you get from other services. For example, I can choose to have my TP% change, depending on how big the price dip was. Maybe on safety order 1 I want 10% TP, but on safety order 7 might want a 2% TP. 2) Settings optimization. You can take advantage of the replay feature and see how trades would have played out, and how much PnL you would have made (strategy version is coming soon) 3) You can use this indicator on more than just crypto. You can easily set up alerts for manual trades on stocks, or you can integrate it with your stock broker API of choice and automate your trades. 4) When combining this with an automation service, you will get unmatched execution speed by running it on your dedicated machine. 5) I can offer a lifetime subscription to the indicator upon request. What kind of market is it best used on? QaSH DCA Algorithm is best used on cryptocurrencies and stocks, and it is best used on assets that are volatile. That means large swings up and down. Also I recommend running this on many uncorrelated assets at the same time. What settings should I use? The default settings are decent for most markets, and provide a good balance between profit potential and downside protection, although you can use a wide variety of settings. In a strong bull market its best to either bring up your layers to catch smaller dips, or you can go big on the first few layers (maybe 4 layers, 25% on each layer for example). In a sideways or brearish market you'll want more downside protection, so you'll want the larger orders to be at lower prices. What should I do if price goes below my last layer? The best solution is to keep a cash reserve on the side at all times. If price looks like it has reached a low point below your lowest layer, then manually buy more to average down further. This action will help it along and get you in the green sooner. Disclaimer: In order to get a large position in an asset, you need to have most of your layers fill. That means you have to be comfortable with buying more as the price goes down, patiently waiting for the bounce that occurs afterward. This is the working principle of Dollar Cost Averaging, and it's a proven method for most markets.
Pine Script™指標
由ParabolicValue提供
20
3CCI & 3RSI for botsThis script is for trading grid bots. Only CCI and RSI are used, but there are three different timeframes available for each. When using it, you must select a chart with a period equal to or less than the minimum in the indicator settings. For example, the following periods are selected in the settings: 1 hour, 15 minutes, 5 minutes, so we use a 5-minute chart. A buy or sell signal will be received if the settings of all 6 indicators match. The default settings do not carry any information, use your own. The code is quite simple and may be of interest to a beginner like me.
Pine Script™指標
由rrolik66提供