Moving Average of Upper and Lower Wicks with optional smoothingIn the book, The New Technical Trader by Tushar Chande and Stanley Kroll there is a part that talks about candlestick analysis and how the wicks play a role on how the price will behave. When wick lengths increase then there could be uncertainty. Weakening of support and resistance levels can also be seen by the size of the candlestick wicks or shadows. Shoutouts to Mango2Juice from Tradingview and the The Academy of Forex for helping me out in making this and providing the moving averages function.
When combined with other indicators or strategies, I find that this increases their accuracy when used correctly. For those that believe in price action, this might be worth a try. The book has only a brief section on candlestick wicks but it is one of the most interesting ideas I found. The book likes to include a simple moving average in its indicators with a certain length to provide a smoothing type of effect or a sort of extra indicator for the other to be above to give off quicker signals at the cost of accuracy. For this indicator it acts as a smoothing type effect which I put in because it is hard to see the slope and direction of where the moving averages of the wicks are going. The type of moving averages to use and the correct lengths are questionable and are not explained well in the book. If anyone can figure out a good use for this or know better settings or tips, please let me know.
[i]price
LER - Law of Effort vs ResultsLaw of Effort vs Results is a tool to find the price changes based on volume.
This tool shows that if there is a high volume occur but the price has small difference in one candle, this will trigger a 'spike'. This spike represents that a high activity has occurred but the price did not reflect as the volume changes.
The analogy of this tool can be represented as we drive a car on a steep hill: despite we hit the gas harder, the car just slightly move higher.
Position CalculatorThis script calculates how much cryptos or dollars you have to bet with 4 variables : Risk Loss , Leverage, Entry and Stop Loss.
When you want to open a position, just complete the parameters and the script will tell you how much you have to bet in dollars or cryptos units, depending the way you're trading.
Note : don't foreget that you have to pay fees on exchanges whose are not included here, specially with high leverage trades.
Fast ROI checker 50% Gann RetracementThis script is based on the Gann's 50% Retracement rule.
First, the ATH (All Time High) and ATL (All Time Low) are calculated; then, the 50% retracement level is found.
With this 50% level, we'll calculate the maximum price entry to keep a ROI which is set in the parameters.
For exemple, I only want to buy assets which can make a x16 before the 50% retracement , the script will calculate the maximum entry to respect this ROI .
If the Max entry price is above the ATL , the line will be green; if not, the line will be red.
To faster the search in the watchlist, when the price is between the Max Entry line and the ATL line, the background is painted in green.
It's not an investment strategy, you have to find your proper indicators to make purchases.
Enjoy !
Slippage Calculator Hello everyone,
This is the first script I publish, also my English is not the best my apologies.
This simple study script is an attempt to estimate the slippage during a trade. By no means it is a precise calculation, it is just an approach that can be improved.
You are welcome to take this simple script and use it and change it at your convenience just ask your acknowledge.
My approach considers the total fluctuation the price gets as a consequence for the total volume on that specific bar.
The volume on each bar is given in BTC, thus you get that by using the formula.
vol = volume * vwap
The total variation in price is considered as twice the size of the bar plus the gap between to consecutive bars. that is the
total fluctuation of price on each bar = (2 * (high - low) + abs(open - close )) which is not totally true since inside each bar price can fluctuate a lot more.
The script considers you are trading your total equity (eq_BTC ) each time. The fraction of your equity of the volume bar is eq_BTC / vol
Then eq_BTC / vol is the portion or the total fluctuation in price that is due to your entry or exit from the market.
(2 * (high - low) + abs(open - close )) * eq_BTC / vol
is the average change in price due you enter o exit a position.
** the 2 factor accounts for the two directions in the market buying and selling. There is more behind this formula I can explain you in more detail if you like.
I haven't seen anywhere a formula like this one, so it is intended to be a first attempt to get a better approach.
Finally the output of the scripts is how many ticks the price might change due to your trade on each bar
round(slippage/syminfo.mintick)
The script is focused in crypto but it can be used as well on forex markets.
Take care,
@yvponce
3 MA w price slope The MA is indicating historical cost on the market.
This script will help you observe MA with price and slope.
This stript is inspired by LEI & LoneCapital.
All thanks to LEI.
Graham FormulaThis is an Tradingview implementation of the Grahams Formula as described in Benjamin Grahams book "The Intelligent Investor".
In theory this can be used to screen for over- and undervalued stocks, however as Graham himself notes, you should look into other fundamentals when using them in conjunction with Grahams formula.
Earthquake Effect by DGTInstitutional investors have a profound impact on financial instruments prices because of the large volume, and their trading activities can greatly impact the price of financial instruments. They sometimes may split trades over time in order to not make a material impact and of course not to decrease liquidity to the point where there may be no one to take the other side of the trade.
Institutional investors (Smart Money) may create an Elephant Effect on the prices of financial instruments, and this study aims to display by emphasizing high volume changes
In the memory of the North Anatolian Earthquake that struck on August 17, 1999, that we remember with pain today, and similarities of plotting outcomes to seismograph plotting I preferred to name this study as Earthquake Effect (SEISMOGRAPH)
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
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".
P-MACD by DGTPrice and Moving Averages Convergence/Divergence, shortly named as P-MACD
P-MACD is a trend-following momentum indicator that shows the relationship between Price and Long-term Moving Average (PMACD), and the relationship between two Moving Averages (MAMACD). P-MACD is composed of two lines, and an histogram, showing price distance (convergence/divergence) to its Long-term MA (PMACD), showing short-term MA distance (convergence/divergence) to long-term MA (MAMACD), and a histogram showing the difference (momentum) between the PMACD and MAMACD
The PMACD is calculated by dividing the Price to Long-term Moving Average (200-period SMA/EMA) and finally smoothed with 9-period SMA/EMA
- PMACD Line Formula : (Price / SlowMovingAverage -1) * 100 and smoothed with 9-period SMA/EMA
The MAMACD is calculated by dividing the Short-term Moving Average (such as 20 SMA/EMA) to the Long-term Moving Average (such as 200-period SMA/EMA)
- MAMACD Line Formula : (FastMovingAverage / SlowMovingAverage -1) * 100
The Histogram is calculated by subscripting PMACD and MAMACD
- Formula : PMACD - MAMACD
Optional
Trend Cloud calculated based on fast and slow version of MAMACD
What to look for:
- Line Crosses : PMACD Line can function as a trigger(signal) for buy and sell signals. Buy when the PMACD crosses above the MAMACD line and sell - or short - when the PMACD crosses below the MAMACD line
- Base Crosses : PMACD and/or MAMACD crosses above or below Baseline is another way to indicate the trend and momentum. MAMACD crosses of Baseline, MAMACD positive or negative, reflects short-term moving average crosses the long-term moving average and similarly, PMACD crosses of BaseLine, PMACD positive or negative, reflects price crosses a long-term moving average
- Momentum : P-MACD helps investors understand whether the bullish or bearish movement in the price is strengthening or weakening displayed with a histogram which graphs the distance between the PMACD and MAMACD. Additionally, upward momentum is confirmed with a bullish crossover, which occurs when PMACD and/or MAMACD crosses above Baseline. Conversely, downward momentum is confirmed with a bearish crossover, which occurs when PMACD and/or MAMACD crosses below Baseline
- Distance : Prices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement. The more distant the PMACD is above or below its baseline indicates that the distance between the Price and its SMA is growing (regarding PMACD, You may find a detailed article explained in “Price Distance to its MA” indicator by DGT) . Similarly the more distant the MAMACD is above or below its baseline indicates that the distance between the two SMAs is growing
- Trend : A rising P-MACD indicates an uptrend, while a declining P-MACD indicates a downtrend
MACD vs. P-MACD
MACD measures the relationship between two MAs, while the P-MACD measures both the relationship between price and its MA, and the relationship between two MAs. MAMACD Line of P-MACD If set to same moving average type and same lengths as in MACD will produce the same line as MACD line, only values are represented as percentage with MAMACD. Both measure momentum in a market, but, because they measure different factors, they differentiate from each other even if they have similarities in presentation. P-MACD provides additional insights, not only to MA relation but also to Price and MA relation
Warning : Moving Average are calculated based on past prices, so they are lagging. The longer the time period for the moving average, the greater the lag as well as less sensitive to price changes. This study implements usage of 200-period long-term moving average, which implies that the P-MACD will provide insight especially for long-term trades, more suited for long-term trades, usage of P-MACD for short-term trades is recommend with lower timeframes (1H or lower).
Indicators aim to generate a potential signal/indication of an upcoming opportunity, but, the Indicators themselves do not guarantee the future movement of a given financial instrument, and are most useful when used in combination with other techniques.
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
Price Distance to its MA by DGTPrices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement as stated in an Article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management
Here comes a study to indicate the idea of this article, Price Distance to its Moving Averages (P/MA Ratio)
The analysis expressed in the paper indicates that there is a connection between the distance of the prices to moving averages and subsequent returns : portfolios of stocks with lower prices to moving averages generally outperformed portfolios of stocks with higher prices to moving averages. This “overextended” effect is more pronounced when using shorter moving averages of 20 and 50 days, and is especially strong in short-term holding periods like one and two weeks. The highest annual returns are recorded when buying in the range of 0-5% below shorter moving averages of 20/50 days, and 0-10% below longer moving averages of 100/200 days. However, buying very far below almost all moving averages on almost all holding periods produces the lowest returns.
The concept of this study recognizes three different modes of action.
In a clearly established upward trend traders should be buying when prices are near or below the MA line and selling when prices move too far above the MA.
Conversely, in downward trend stocks should be shorted when reaching or going above the moving average and covered when they drop too far below the MA line.
In a sideways movement traders are advised to buy if the price is too low below the moving average and sell when it goes too far above it
Short-term traders can expect to outperform in a one or two week time window if buying stocks with lower prices compared to their 20 and 50 SMA/EMA, one to two-week holding periods is quite high, ranging from 72,09% to 90,61% for the SMA(20, 50) and 85,03% to 87,5% for the EMA(20, 50). The best results for the SMA 20 and 50, on average, are concentrated in the region of 0-5% below the MA for the majority of holding periods. Buying very far below almost all MA in almost all holding periods turns out to be the worst possible option
Candle patterns, momentum could be used in conjunction with this indicator for better results. Try Colored DMI and Ichimoku colored SuperTrend by DGT
Key price levelsFunction: labelling recent highs and lows automatically. Easy and clean.
In this example, we can see the previous low of the ticker is around 105.5, the previous high is around 120.
We can set up our entries and exits by referring to the last lows and highs.
Users can adjust the searching bar range by themselves.
LotSizeCalc_v1 (EUR)Hey there,
here I like to publish my first TradingView Script for the Indicator "LotSizeCalc" which calculates the LotSize for the currency '€' for e.g. the MT4-App depending on the following parameters:
- Stop Loss in pips (example: 30 pips)
- Account Balance in EUR (example: 500€)
- Risk in % (example: 1%)
It is very similar to the MyFxBook Calculator on their website, where you can compare the results for the lotsize.
You receive the calculated value next to the indicator, and - for mobile device - it also shows a label with the calculated lotsize (which you can deacivate via settings if you like).
The indicator works for the included common foreign Forex pairs (AUD, CAD, CHF, JPY, JPY, GBP, NZD, USD) in order to calculate the risk to a EUR-Trading Account.
Actually, the Script allows in general some adaptations due to your trading system. This one is the most basic version.
Happy pips and I wish you safe and risk-calculated trading!
Marcel :)
Price Continuation (The Strat)Shows the historic bar type, whether it is up, down, up and inside, down and inside, up and outside, or down and outside. Will only display historic bar type based on the selected time timeframe. (Ex. if you are looking at the weekly time frame, you will only see the bar type for Year, Quarter, Month, and Week. It will not display the Day or Hour bar type.)
PEG RatioHello everyone,
Quick script to check the PEG Ratio.
What is PEG Ratio?
The price/earnings to growth ratio (PEG Ratio) is a stock's price-to-earnings (P/E) ratio divided by the growth rate of its earnings for a specified time period. The PEG ratio is used to determine a stock's value while also factoring in the company's expected earnings growth, and is thought to provide a more complete picture than the more standard P/E ratio.
A PEG Ratio greater than 1.0 means that the stock is overvalued, while below 1.0 means is is undervalued. When the PEG Ratio is exactly 1.0, then the stock is trading at fair valuation.
Formula:
PEG Ratio = (Price / EPS) / EPS Growth
Examples:
Company A:
Price per share = $46
EPS this year = $2.09
EPS last year = $1.74
Company B
Price per share = $80
EPS this year = $2.67
EPS last year = $1.78
Company A
P/E ratio = $46 / $2.09 = 22
Earnings growth rate = ($2.09 / $1.74) - 1 = 20%
PEG ratio = 22 / 20 = 1.1
Company B
P/E ratio = $80 / $2.67 = 30
Earnings growth rate = ($2.67 / $1.78) - 1 = 50%
PEG ratio = 30 / 50 = 0.6
The company A is overvalued whiled the B is undervalued.
In this script an overvalued stock is considered when the PEG Ratio is above 1.1, while it is 0.9 for an undervalued stock.
Only works with Stocks.
Happy trading,
Indicator: Price Weight Oscillator [xQT5]This is my revision of AO (Awesome Oscillator) that can give more correct and early signals as on my opinion.
I'm used a original formula of AO and modified it with high and low prices adding.
Enjoy it!
Example - How to create multiple level gridsExample on how to create custom grids with variable N lines/labels:
RPI (Relative Price Index)This is a free indicator created by Stormpike Group that displays the relative price of an underlying for the given period.
Volatility (Body and Weighted Shadow)- Volatility Indicator
- Replacement for ATR
- As each pair holds a different level of volatility, a stop loss can be set using this indicator rather than via a ratio 2:1, etc. e.g. 2 X Volatility Value = S/L...
- This indicator averages the bodies of candlesticks over a default length of 14 periods. It also considers the length of shadows via a weighted average. This is done as it is assumed that financial institutions tend to move price to levels that do not hold (shadows). Therefore, wick lengths are less significant than the candlestick bodies, so they are weighted to hold less value.
Shadow MAShadow/Wick Moving Average
- Moving Average comparing top and bottom Shadow / Wick length
- Shadows represent price levels that have been hit, but did not close
- Not an all-purpose, all-in-one indicator for entry and exit
- Used as a visual aid to better understand price movement. For example. if price is bearish, but the Shadow MA is showing high, positive values, it is a sign that price is not tending to close at its highest point; therefore, there is bearish resistance.
- Can be used in combination with momentum oscillators and trend analysis.
