Swing Trading with Mean Reversion - Stonk_BUDThe Swing Trading Analyzer is built for traders looking to catch medium-term swing trading opportunities. It combines trend-following techniques with mean reversion strategies, making it a versatile tool for analyzing daily and weekly charts.
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#### **Key Features**
- **Moving Average Crossovers**
Tracks 10-day and 50-day moving averages to identify trend shifts. You'll see clear signals for bullish (BUY) and bearish (SELL) momentum.
- **Mean Reversion Analysis**
Uses Bollinger Bands and Z-score calculations to pinpoint overbought and oversold conditions. These tools help confirm when the price is stretched and likely to reverse back toward the mean.
- **Swing Trading Focus**
Designed specifically for daily and weekly timeframes, this indicator avoids the noise of intraday trading and helps you focus on bigger moves.
- **Visual and Alert System**
Plots clear BUY and SELL signals directly on your chart, with optional background highlights for overbought (red) and oversold (green) zones. Plus, you can set custom alerts to get notified when signals trigger.
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#### **How It Works**
- **Buy Signals**: Triggered when the 10-day moving average crosses above the 50-day moving average, and the price shows oversold conditions (Z-score < -2 and price below the lower Bollinger Band).
- **Sell Signals**: Generated when the 10-day moving average crosses below the 50-day moving average, with overbought confirmation (Z-score > 2 and price above the upper Bollinger Band).
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Who It's For
- Swing traders looking for reliable signals to ride medium-term market trends.
- Anyone who wants a blend of trend-following and mean reversion strategies.
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**Pro Tip**: Pair this indicator with solid risk management and additional tools like volume analysis for even better results.
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Quant
Guassian Distribution Forecast [prediction intervals]The Indicator
The Indicator combines volatility and frequency distributions to forecast an area of possible price expansion with an approximate confidence interval / level and level of significance (significance level).
The Script Formula
Additional comments
To alter the models forecasting precision to reflect a given confidence interval, e.g the 90% confidence level (C.L.), use the 1.64 multiplier (toggle value in "Standard normal distribution sd" setting), to use a specific C.L., e.g. the 85th percentile either search for this on google, or calculate it yourself using a Standard Normal Distribution Probability table. Additionaly volatility may be changed by toggling the lookback period setting, this can be thought of as widening the distribution tails.
The look forward parameter is currently fixed at 20, this is because it does not currently work correctly with higher integers, I will try resolve this problem and any other bugs as soon as possible
Rocket Grid Algorithm - The Quant ScienceThe Rocket Grid Algorithm is a trading strategy that enables traders to engage in both long and short selling strategies. The script allows traders to backtest their strategies with a date range of their choice, in addition to selecting the desired strategy - either SMA Based Crossunder or SMA Based Crossover.
The script is a combination of trend following and short-term mean reversing strategies. Trend following involves identifying the current market trend and riding it for as long as possible until it changes direction. This type of strategy can be used over a medium- to long-term time horizon, typically several months to a few years.
Short-term mean reversing, on the other hand, involves taking advantage of short-term price movements that deviate from the average price. This type of strategy is usually applied over a much shorter time horizon, such as a few days to a few weeks. By rapidly entering and exiting positions, the strategy seeks to capture small, quick gains in volatile market conditions.
Overall, the script blends the best of both worlds by combining the long-term stability of trend following with the quick gains of short-term mean reversing, allowing traders to potentially benefit from both short-term and long-term market trends.
Traders can configure the start and end dates, months, and years, and choose the length of the data they want to work with. Additionally, they can set the percentage grid and the upper and lower destroyers to manage their trades effectively. The script also calculates the Simple Moving Average of the chosen data length and plots it on the chart.
The trigger for entering a trade is defined as a crossunder or crossover of the close price with the Simple Moving Average. Once the trigger is activated, the script calculates the total percentage of the side and creates a grid range. The grid range is then divided into ten equal parts, with each part representing a unique grid level. The script keeps track of each grid level, and once the close price reaches the grid level, it opens a trade in the specified direction.
The equity management strategy in the script involves a dynamic allocation of equity to each trade. The first order placed uses 10% of the available equity, while each subsequent order uses 1% less of the available equity. This results in the allocation of 9% for the second order, 8% for the third order, and so on, until a maximum of 10 open trades. This approach allows for risk management and can help to limit potential losses.
Overall, the Rocket Grid Algorithm is a flexible and powerful trading strategy that can be customized to meet the specific needs of individual traders. Its user-friendly interface and robust backtesting capabilities make it an excellent tool for traders looking to enhance their trading experience.
Grid Indicator - The Quant ScienceQuickly draw a 10-level grid on your chart with our open-source tool.
Our grid tool offers a unique solution to traders looking to maximize their profits in volatile market conditions. With its advanced features, you can create customized grids based on your preferred start price and line distance, allowing you to easily execute trades and capitalize on price movements. The tool works automatically, freeing up your time to focus on other important aspects of your trading strategy.
The benefits of using this tool are numerous. Firstly, it eliminates the need for manual calculation, making the analysis process much more efficient. Secondly, the automatic nature of the tool ensures that each grids are draw at precisely prices, giving you the best possible chance of maximizing your analysis. Finally, the ability to easily customize grids means that you can adapt your strategy quickly and effectively, even in rapidly changing market conditions.
So why wait? Take control of your trading and start using our innovative grid tool today! With its advanced features and ease of use, it's the perfect solution for traders of all levels looking to take their trading to the next level.
HOW TO USE
Using it is easy. Add the script to your chart and set the price and distance between the grids.
Probabilities Module - The Quant Science This module can be integrate in your code strategy or indicator and will help you to calculate the percentage probability on specific event inside your strategy. The main goal is improve and simplify the workflow if you are trying to build a quantitative strategy or indicator based on statistics or reinforcement model.
Logic
The script made a simulation inside your code based on a single event. For single event mean a trading logic composed by three different objects: entry, take profit, stop loss.
The script scrape in the past through a look back function and return the positive percentage probability about the positive event inside the data sample. In this way you are able to understand and calculate how many time (in percentage term) the conditions inside the single event are positive, helping to create your statistical edge.
You can adjust the look back period in you user interface.
How can set up the module for your use case
At the top of the script you can find:
1. entry_condition : replace the default condition with your specific entry condition.
2. TPcondition_exit : replace the default condition with your specific take profit condition.
3. SLcondition_exit : replace the default condition with your specific stop loss condition.
Extreme Volume Support Resistance LevelsExtreme Volume Support Resistance Levels are S/R levels(zones, basically), based on extreme volume .
Settings:
Lookback -- number of bars, which algorithm will be using;
Volume Threshold Period -- period of MA (Volume MA), which smoothers volume in order to find the extremes;
Volume Threshold Multiplier -- multiplier for Volume MA, which "lift" Volume MA and thus will provide the algorithm with more accurate extreme volume ;
Number of zones to show -- number of last S/R zones, which will be shown on the chart.
RU:
Extreme Volume Support Resistance Levels — это уровни S/R (зоны, в основном), основанные на избыточном объеме.
Параметры:
Lookback -- число баров, которое алгоритм будет использовать для расчётов;
Volume Threshold Period -- период MA (Volume MA), которая сглаживает объем для нахождения экстремумов объёма;
Volume Threshold Multiplier -- множитель для Volume MA, который "поднимает" Volume MA и тем самым обеспечивает алгоритм более точными значениями экстремального объёма;
Количество зон для отображения -- количество оставшихся зон S/R, которые отображаются на графике.
Real Cummulative Delta (New TV Function)Thanks to the new TradingView indicator Up/Down Volume, it is now possible to get accurate information on Agression (market buying vs market selling)
However, as they only provide the value of delta, I've made this indicator to show the cummulative value, in the form of candles.
It is great to detect divergences in the macro and in the micro scale (As in divergences in each candle and divergences in higher or lower tops or bottoms)
Hope you can make good use of it!
Q-TrendQ-Trend is an multipurpose indicatorm that can be used for swing- and trend-trading equally on any timeframe (non-volatile markets are better for this thing).
Settings:
Trend period - used to calculate trend line in the special moments(will explain below);
ATR Multiplier - changes sensitivity. The higher the multiplier = the more sensitive it is.
Also option to smooth source data (helps get cleaner signals, as always).
How to use?
Signals are given on the chart. Also ou can use trend line as S/R line.
The idea behind:
Terms:
SRС = Source
TL = trend line;
MP = ATR multiplier;
ATR = ATR :)
TL = (highest of source P-bars back + lowest of source P-bars back) / 2
Epsilon = MP * ATR
I was thinking for a week about combining volatility and relation between highest and lowest price point. That why I called indicator Q-Trend = Quantitative Trend , as I was trying to think about price in a mathematical way.
Okay, time to go philosophical:
1) TL is shows good price trend, but as it is slow enough and not enough informative, we need add additional conditions to produce signals.
2) Okay, so what can we add as conditions? We need to take volatility into account, as it is crucial in the moments of market uncertainty. So let's use ATR (Average True Range) somehow. My idea is that if SRC breaks TL + ATR , then it means that there will be upmove and we update our TL . Analogically for SRC breaking TL - ATR (breaks are crosses of TL +- ATR lines) .
Conclusion:
- if SRC breaks TL + ATR , it is a BUY signal and update of trend line;
- if SRC breaks TL - ATR , it is a SELL signal and update of trend line;
I think that such indicator already exisits on TradingView, as I've already saw something similar, but long ago, so please don't report, if such thing already exists.
But if not, then I hope, that you will gain some profits with Q-Trend :)
I will continue my work on this thing, so stay tuned.
Trade with your own risks and have your profits!
Wish you all the best!
- Tarasenko Fyodor
[EDU] Close Open Estimation Signals (COE Signals)EN:
Close Open Estimation ( aka COE ) is a very simple swing-trading indicator based on even simpler idea. This indicator is from my educational series, which means that I just want to share with another way to look at the market in order to broaden your knowledge .
Idea :
Let's take n previous bars and make a sum a of close - open -values of each bar. Knowledgeable of you may already see the similarity to RSI calculation idea . Now let's plot this sum and see what we have now.
We can see, that whenever COE crosses over 0-level, uptrend begins, and if COE crosses under 0-level, downtrend begins. The speed of such signals can be adjusted by changing lookback period: the lower the lookback, the faster signals you get, but high-quality ones can be obtained only via not-so-fast lookback as when the market is consolidating or volatility is to high, there can be many garbage signals, like 95+% of other indicators have.
Let's explore more and calculate volatility of COE(v_coe in the code): current COE - previous CEO .
Now it appears that when v_coe crosses over 0-level, it's a signal, that this is a new low and soon the uptrend will follow. Analogically for crossing under 0-level .
I guess now you understood what these all are about: COE crossings show global trend signals , while Volatility COE ( v_coe or VCOE ) crossings show reversal points .
For signals I further calculated volatility of VCOE(VVCOE) and then volatility of VVCOE(VVVCOE). Why? Because for me they seem to be more accurate, but you are welcome to experiment and figure best setups for yourself and by yourself, I just share my opinion and experience .
COE can be helpful only in high liquidity markets with good trend or wide sideways .
If you want to experiment with COE, just copy the code and play with it. Curious of you will probably find it helpful eventhough the idea is way too simple.
By it's perfomance COE can probably beat QQE at open price settings.
(use open of the price at indicator to get zero repaint! )
Examples :
If you any questions, feel free to DM me or leave comments.
Good luck and take your profits!
- Fyodor Tarasenko
RU:
Close Open Estimation ( aka COE ) — это очень простой индикатор свинг-трейдинга, основанный на еще более простой идее. Этот индикатор из моей образовательной серии, а это значит, что я просто хочу поделиться с другим взглядом на рынок , чтобы расширить ваши знания .
Идея :
Возьмем n предыдущих баров и составим сумму a из close - open -значений каждого бара. Знающие люди могут уже заметить сходство с идеей расчета RSI . Теперь давайте построим эту сумму и посмотрим, что у нас сейчас есть.
Мы видим, что всякий раз, когда COE пересекает выше 0-уровня, начинается восходящий тренд , а если COE пересекает ниже 0-уровня, начинается нисходящий тренд. Скорость таких сигналов можно регулировать изменением ретроспективы: чем меньше ретроспектива, тем быстрее вы получаете сигналы, но качественные можно получить только через не- такой быстрый взгляд назад, как когда рынок консолидируется или волатильность слишком высока, может быть много мусорных сигналов, как у 95+% других индикаторов.
Давайте рассмотрим больше и рассчитаем волатильность COE(v_coe в коде): текущий COE - предыдущий CEO .
Теперь кажется, что когда v_coe пересекает уровень 0, это сигнал о том, что это новый минимум и вскоре последует восходящий тренд . Аналогично для пересечения под 0-уровнем .
Думаю, теперь вы поняли, о чем все это: COE пересечения показывают глобальные сигналы тренда , а пересечения Volatility COE ( v_coe или VCOE ) показывают точки разворота .
Для сигналов я дополнительно рассчитал волатильность VCOE(VVCOE), а затем волатильность VVCOE(VVVCOE). Почему? Потому что для меня они кажутся более точными, но вы можете поэкспериментировать и подобрать оптимальные настройки для себя и для себя, я просто делюсь своим мнением и опытом .
COE может быть полезен только на рынках с высокой ликвидностью и хорошим трендом или широким боковиком .
Если вы хотите поэкспериментировать с COE, просто скопируйте код и поэкспериментируйте с ним. Любознательные из вас, вероятно, сочтут это полезным, хотя идея слишком проста.
По своей результативности СОЕ может составить конкуренцию широко известному QQE, используя open цены.
(используйте open цены на индикаторе, чтобы получить нулевую перерисовку! )
Примеры :
Если у вас есть вопросы, пишите мне в личные сообщения или оставляйте комментарии.
Удачи и профита всем!
- Федор Тарасенко
Average Daily Pip Ranges by monthShows historical average daily pip ranges for specific months for FOREX pairs
useful for guaging typical seasonal volatility; or rough expected daily pip ranges for different months
works on both DXY and foreign currencies
option to plot 10yrs worth of data; with 10yr average of the average daily range for specific months
cast back to any previous 10yrs of your choosing
@twingall
