Pot SizeA little FREE script - which may help people set their trade size and stop levels for bitcoin trades.
NOTE :- This script conveys information that requires "indicator arguments" to be turned on.
TO USE :- To adjust to your requirements, click the cog wheel next to the indicator, and adjust "POT SIZE" (how much dollar you have), "RISK %" (the percentage of your dollar portfolio you would like to risk on this trade) and "BITCOIN AMOUNT" - until the short and long 'stop' lines are in the right place in your estimation, for a stop loss that represents the risk you want in relation to the current price for this trade.
The script takes its reference from the closing price; and doesn't include calculations for spread, fees, true range, and volatility etc. That is left open for anyone to add that if they wish. Anyone using this has to make their own adjustments for such considerations not being in this script and therefore make their own compensations.
Anyone wanting to change anything (because values don't go far enough for you) but doesn't know pinescript, can change the numbers next to "defval", "minval", "maxval", and "step" to their suiting in the script itself.
If you use this, you have to work out for yourself if it is useful for you or not. If you depend on it, you must have your own confidence that the calculations in it are acceptable and correct for your use, and you should check yourself and seek advice before trusting it. I convey no confidence in these calculations or this script, and they must be assumed to be acceptable by you if you use it.
Thanks
M
Simple Moving Average (SMA)
Money Flow Index 5 min Strategy1 - Apply the 3 period Money Flow Index indicator to the 5 minute chart, using 0 and 100 as our oversold and overbought boundaries
2 - Wait for the MFI to reach overbought levels, that indicates the presence of "big sharks" in the market. Price needs to hold up
the first two MFI overbought occurrences of the day to be considered as a bullish entry signal.*
3 - We buy when the MFI = 100 and the next candle is a bullish candle with short wicks.
4 - We place our Stop Loss below the low of the trading day and we Take Profit during the first 60 minutes after taking the trade.
The logic above can be used in a mirrored fashion to take short entries, this is a custom parameter that can be modified from
the strategy Inputs panel.
* I'm using a SMA filter to avoid buying when the price is declining. Time frame was better at 15 min according to my test.
Inside Bar Strategy w/ SL"Inside bars are a two -bar pattern. They can indicate either a continuation of the
existing move or a reversal. A continuation occurs when there is no significant
support or resistance level in sight, while a reversal occurs close to a strong sup-
port or resistance level...
...A lot of traders are aware of inside bars but few manage to make money with
them. Why is this so? It goes back to interpreting price action. A lot of traders look
to trade in geometric ways. What I mean is that they search for fancy shapes on a
chart and think that this is what represents true price action.
This is not the case. A shape is just a shape. The formation by itself means
nothing unless underlying order flow backs it up. This is why it’s extremely
important that you look for inside bars when a trend is already in place.
The best place to look for them is in the beginning of trends."
Six Moving Averages Study (use as a manual strategy indicator)I made this based on a really interesting conversation I had with a good friend of mine who ran a long/short hedge fund for seven years and worked at a major hedge fund as a manager for 20 years before that. This is an unconventional approach and I would not recommend it for bots, but it has worked unbelievably well for me over the last few weeks in a mixed market.
The first thing to know is that this indicator is supposed to work on a one minute chart and not a one hour, but TradingView will not allow 1m indicators to be published so we have to work around that a little bit. This is an ultra fast day trading strategy so be prepared for a wild ride if you use it on crypto like I do! Make sure you use it on a one minute chart.
The idea here is that you get six SMA curves which are:
1m 50 period
1m 100 period
1m 200 period
5m 50 period
5m 100 period
5m 200 period
The 1m 50 period is a little thicker because it's the most important MA in this algo. As price golden crosses each line it becomes a stronger buy signal, with added weight on the 1m 50 period MA. If price crosses all six I consider it a strong buy signal though your mileage may vary.
*** NOTE *** The screenshot is from a 1h chart which again, is not the correct way to use this. PLEASE don't use it on a one hour chart.
MA CloudMA Cloud - a highly configurable cloud for Moving Averages
Creates a cloud from max. 5 Moving Averages.
Users can freely decide, for each average wether it should be SMA,EMA or WMA and also for the time period.
They shades and colors can be freely chose for each combination of MA's, giving you a maximum freedom to configure your cloud.
SMA StrategySMA Strategy for going long or short when a short sma crosses a long sma. This script was published by CaptJava. I added to it the ability to select a back testing date range and choose to go long, short or swap orders. You can enter automated trading buy and sell messages in the properties and then put {{strategy.order.alert_message}} in your webhook alert message and it will dynamically populate your buy or sell message.
Mean AnglesThis indicator plots the trend of the angles made by the chosen means. This trend when analysed over multiple timeframes as well as different lengths can give an indication of the trend in short medium and long term.
For example, in any particular timeframe, when the 20 EMA turns a negative arctan, it signifies that on a shorter timeframe (than the current timeframe) is turning downwards in price. When 50, 100 and 200 EMA turn negative, it confirms the trend reversal. Similarly the 20 EMA will be the first one to turn "Up" or positive to indicate a possible trend reversal on the upside.
The angle of the means will oscillate between +pi/2 and -pi/2.
0 means - EMA is flat
+pi/2 means - almost vertical price rise
-pi/2 means - almost vertical price fall
Between -pi/2 and 0 means EMA is sloped downwards. Moving from -pi/2 to 0 means EMA slope is turning up. Moving from 0 to -pi/2 means EMA slope is falling down even lower and faster.
Between 0 and +pi/2 means EMA is slopped upwards. Moving from +pi/2 to 0 means EMA slope is falling down. Moving from 0 to +pi/2 means EMA slope is turning up even higher and faster.
Tocorin_MTF_MA7 MAs (SMA or EMA) can be displayed in each period.
MTF display is performed only at 5m, 1h, and 4h.
The upper MAs to be displayed are as follows
5m: 1h, 4h, and 1D
1h: 4h and 1D
4h: 1D
The MA line style is stepline and circles to make it easier to see.
You can change it in the settings as you wish.
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各時間足で 7本の MA(SMA or EMA) 表示が可能です。
5m, 1h, 4h の時だけ MTF 表示を行います。
表示する上位 MA は下記の通り
5m: 1h と 4h と 1D
1h: 4h と 1D
4h: 1D
見やすくするためにMA の線のスタイルを stepline と circles にしています。
設定で任意に変更してください。
Stochastic RSI + WMA + SMA strat// "...an entry signal it's a cross down or up on
// the stochastics. if you're in a downtrend
// on the hourly time frame you
// must also be in a downtrend on the five
// minute so the five period has to be below the 144
// as long as the five period is still trading below
// the 144 period on both the hourly and the five minutes
// we are looking for these short signals crosses down
// in the overbought region of the stochastic. Viceversa for longs"
// Works well with a wide stop with 20 bars lookback
// for the SL level and a 2:1 reward ratio Take Profit .
// These parameters can be modified in the Inputs section of the strategy panel.
4 MA Strategy + Position Management// This is a simple crossover Moving Average strategy, good for long term crypto trades.
// It buys when the MA "X" crosses up the MA "Y", viceversa for shorts.
// Both MAs are selectable from the Inputs section in the front panel.
// There is also a Position Management option thats
// sizes positions to have the same USD risk (using leverage) on each trade,
// based on the percentage distance to the stop loss level.
// If you turn this option on you will see how the profit
// grows exponentially while the drawdown percentage almost remains the same.
HYE Mean Reversion SMAIndicator version of the strategy "HYE Mean Reversion SMA "
"Long", "Short", "Exit Long" and "Exit Short" alarms added.
Use with "Once Per Bar Close".
HYE Mean Reversion SMA [Strategy]An RSI filtered version of PJ Sutherland's Jaws Mean Reversion algorithm.
"Long" on the close when;
1-) 2 period simple moving average closes 3% or more below the 5 period simple moving average,
2-) 5 period exponential average of the 2 period RSI is below 30.
"Exit Long" on the close when;
1-) 2 period simple moving average closes above the 5 period moving average.
"Short" on the close when;
1-) 2 period simple moving average closes 3% or more above the 5 period simple moving average,
2-) 5 period exponential average of the 2 period RSI is above 70.
"Exit Short" on the close when;
1-) 2 period simple moving average closes below the 5 period moving average.
*** You can change the needed percentage for long and short trades, periods of simple moving averages and RSI levels.
*** You can select the trend direction: "Long Only" , "Short Only" or "Both". Default is "Long Only".
Interest rateCompare the MAs of the three symbols.
Basically it can be applied to interest rates.
It also displays the long-short interest rate differential (Long-Short).
Alt Golden Ratio by USCG_VetPine Script math based on the medium article by Philip Swift.
Idea based from Willy Woo Charts.
Disclaimer: None of this Pine Script, Title, nor Description should be used for Financial Advice. For Education Purposes Only.
Purpose: Identify a Golden Ratio Cross of the 350 Daily MA vs the 111 Daily MA with Multiplier to theorize where local valuation tops or bottoms could be approximated. NOT FINANCIAL ADVICE!
Parameters:
DMA A: short Daily Moving Average
DMA B: long Daily Moving Average
Golden Ratio: point where short Daily Moving Average crosses value assigned in parameter.
Indicators:
S2: Cross of DMA A vs DMA B in upward direction (approximate local top)
Sn: additional approximate top indicators
Sell1: first approximate local bottom
Selln: additional approximate local bottom indicators
GR: Golden-Ratio Cross of DMA A
Simple Moving Average 20,50,100This SMA Script is modified and is based on 3 bands which are of 20 days, 50 days, 100 days average line.
This is a very appropriate for Indian Markets.
**How to Use :**
***BUY***
When the chart pattern is as follows :-
- SMA 200 (Black)
- SMA 50 (Red)
- SMA 20 (Green)
- "Last Traded Price"
***SELL***
When the chart pattern is as follows :-
- "Last Traded Price"
- SMA 20 (Green)
- SMA 50 (Red)
- SMA 200 (Black)
And Book Good Profits!!!
Grid Bot AutoThis script is an auto-adjusting grid bot simulator. This is an improved version of the original Grid Bot Simulator. The grid bot is best used for ranging/choppy markets. Prices are divided into grids, or trade zones, that will trigger signals each time a new zone is entered. During ranging markets, each transaction is followed by a “take profit.” As the market starts to trend, transactions are stacked (compare to DCA ), until the market consolidates. No signals are triggered above the Upper Limit or Below the Lower Limit. Unlike the previous version, the upper and lower limits are calculated automatically. Grid levels are determined by four factors: Smoothing, Laziness, Elasticity, and Grid Intervals.
Smoothing:
A moving average (or linear regression) is applied to each close price as a basis. Options for smoothing are Linear Regression, Simple Moving Average, Exponential Moving Average, Volume-Weighted Moving Average, Triple-Exponential Moving Average.
Laziness:
Laziness is the percentage change required to reach the next level. If laziness is 1.5, the price must move up or down by 1.5% before the grid will change. This concept is based on Alex Grover’s Efficient Trend Step. This allows the grids to be based on even price levels, as opposed to jagged moving averages.
Elasticity:
Elasticity is the degree of “stickiness” to the current price trend. If the smoothing line remains above (or below) the current grid center without reverting but still not enough to reach the next grid level, the grid line will start to curve toward the next grid level. Elasticity is added to (or subtracted from) the gridline by a factor of minimum system ticks for the current pair. Elasticity of zero will keep the gridlines horizontal. If elasticity is too high, the grid will distort.
Grid Intervals:
Grid intervals are the percentage of space between each grid.
Laziness = 4%, Elasticity = 0. Price must move at least 4% before reaching the next level. With zero elasticity, gridlines are straight.
Laziness = 5%, Elasticity = 100. For each bar at a new grid level, the grid will start “curve” toward the next price level (up if price is greater than the middle grid, down if less than middle grid). Elasticity is calculated by the user-inputted “Elasticity” multiplied by the minimum tick for the current pair (ELSTX = syminfo.mintick * iELSTX)
Try experimenting with different combinations of the Smoothing Length, Smoothing Type, Laziness, Elasticity, and Grid Intervals to find the optimum settings for each chart. Lower-priced pairs (e.g. XRP/ADA/DODGE) will require lower Elasticity. Also note that different exchanges may have different minimum tick values. For example, minimum tick for BITMEX:XBTUSD and BYBIT:BTCUSD is .5, but BINANCE:BTCUSDT and COINBASE:BTCUSD is .01.
s3.tradingview.com
DODGEUSDT, 5min. Laziness: 4%, Elasticity 2.5
Number of Grids: 2. Laziness: 3.75%. Elasticity: 150. Grid Interval 2%.
Settings Overview
Smoothing Length : Smoothing period
Smoothing Type : Linear Regression, Simple Moving Average, Exponential Moving Average, Volume-Weighted Moving Average, Triple-Exponential Moving Average
Laziness : Percentage required for price to move until it reaches the next level. If price does not reach the next level (up or down), the grid will remain the same as previous grid (because it’s lazy).
Elasticity : Amount of curvature toward the next grid, based on the current price trend. As elasticity increases, gridlines will curve up or down by a factor of the number of ticks since the last grid change.
Grid Interval : Percent between grid levels.
Number of Grids : Number of grids to show.
Cooldown : Number of bars to wait to prevent consecutive signals.
Grid Line Transparency : Lower transparencies brighten the gridlines; higher transparencies dim the gridlines. To hide the gridlines completely, enter 100.
Fill Transparency: Lower transparencies brighten the fill box; higher transparencies dim the fill box. To hide the fill box completely, enter 100.
Signal Size : Make signal triangles large or small.
Reset Buy/Sell Index When Grids Change : When a new grid is formed, resetting the index may prevent false signals (experimental)
Use Highs/Lows for Signals : If enabled, signals are triggered as soon as the price touches the next zone. If disabled, signals are triggered after bar closes. Enable this for “Once Per Bar alerts. Disable for “Once Per Bar Close” alerts.
Show Min Tick : If checked, syminfo.mintick is displayed in upper-righthand corner. Useful for estimating Laziness.
Reverse Fill Colors : Default fill for fill boxes is green after buy and red after sell. Check this box to reverse.
Note: The Grid Bot Simulator scripts are experimental and works in progress. Please feel free to comment or contact me if you have suggestions/complaints.
VWMA / SMA / TEMA DifferenceThis Study try to simulate Weakening and Strengthening trends on Bear(down) or Bull(up) movements.
It looks to VWMA - TEMA trend for Bull / Bear trend and looking for SMA - VWMA trend for Weak / Strong trends.
On default settings Line shows the difference between VWMA - TEMA and Columns show difference between SMA - VWMA. Suggesting to use this script for 5m intervals.
This is a personal work of mine. Using this script and taking decisions regarding to this script is only and only under responsibility of the trader!!!
CheckmateTrades - Pivots End GameThis indicator is based on the Pivot study. Traders will be able to plot CPR, Standard floor pivots as well as Camarilla Pivots on multiple timeframes.
Why pivots from multiple timeframes are relevant and included in this one indicator?
We can analyse pivots on multiple timeframes for different trading setups. As in, Daily floor pivots are best suited for analysing the market trend for Day trading. Similarly, Weekly and Monthly floor pivots can be analysed for Swing and positional trading entries. Whereas yearly pivot is best suited for trend analysis for investment purpose.
What is the relevance of plotting tomorrow's pivot level in advance?
Pivot are calculated based on the price happened on a previous day. And hence trader can plot tomorrow pivots in advance to shortlist stocks for tomorrow's trading session.
TimeFrames Available to traders are –
1. Daily
2. Weekly
3. Monthly
A) Daily Pivots
Present Day –
1. Trader can plot Daily CPR
2. Trader can plot Daily R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Daily S1, S2, S3 and S4 pivot support levels
4. Trader can plot Daily Camarilla levels
Future Day –
1. Trader can plot Tomorrow CPR
2. Trader can plot Tomorrow R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Tomorrow S1, S2, S3 and S4 pivot support levels
4. Trader can plot Tomorrow Camarilla levels
5. Previous Day High and Low
B) Weekly Pivots
Present Week –
1. Trader can plot Present week CPR
2. Trader can plot Present week R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Present week S1, S2, S3 and S4 pivot support levels
4. Trader can plot Present week Camarilla levels
Next Week –
1. Trader can plot Next week CPR
2. Trader can plot Next week R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Next week S1, S2, S3 and S4 pivot support levels
4. Trader can plot Next week Camarilla levels
5. Previous Week High and Low
C) Monthly Pivots
Present Month –
1. Trader can plot Present Month CPR
2. Trader can plot Present Month R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Present Month S1, S2, S3 and S4 pivot support levels
4. Trader can plot Present Month Camarilla levels
Next Month –
1. Trader can plot Next Month CPR
2. Trader can plot Next Month R1, R2, R3 and R4 pivot resistance levels
3. Trader can plot Next Month S1, S2, S3 and S4 pivot support levels
4. Trader can plot Next Month Camarilla levels
5. Previous Month High and Low
Moreover, I have also included SMA (Simple moving averages) study in this indicator. Trader can add 20,50 & 200 SMA on there charts.
Why is it relevant? Trader can get a visual confirmation of an up-trending or an down-trending move by looking at rising or falling 20 & 50 SMA respectively
Usually in an uptrending stocks. 20 & 50 SMA will move in parallel to each other and will rise upwards. Price will tend to trade above the 20 SMA and 20 SMA will continue to act as a support.
Simple Bollinger Bands + 3 EMAWe know that the number of indicators that we can use is limited, that is why with this indicator the Bollinger Bands + 3 EMAs join and be able to use 4 indicators in 1.
Bollinger Bands (BB)
Bollinger Bands (BB) are a widely popular technical analysis instrument created by John Bollinger in the early 1980’s. Bollinger Bands consist of a band of three lines which are plotted in relation to security prices. The line in the middle is usually a Simple Moving Average (SMA) set to a period of 20 days (the type of trend line and period can be changed by the trader; however a 20 day moving average is by far the most popular). The SMA then serves as a base for the Upper and Lower Bands which are used as a way to measure volatility by observing the relationship between the Bands and price. Typically the Upper and Lower Bands are set to two standard deviations away from the SMA (The Middle Line); however the number of standard deviations can also be adjusted by the trader.
Exponential Moving Average (EMA)
Moving averages visualize the average price of a financial instrument over a specified period of time. However, there are a few different types of moving averages. They typically differ in the way that different data points are weighted or given significance. An Exponential Moving Average (EMA) is very similar to (and is a type of) a weighted moving average. The major difference with the EMA is that old data points never leave the average. To clarify, old data points retain a multiplier (albeit declining to almost nothing) even if they are outside of the selected data series length.
The 3 EMAs that the Script has, are configured as follows:
Fast EMA (purple) 10 periods.
Slow EMA (blue) 55 periods.
Big EMA (olive) 200 periods.
However, you can configure each one with the color and the number of periods you want.
There are other indicators in the Public Library that have similar functions to this Script, but they all do it in a more complex and less friendly way when configuring it, for this reason we wanted to keep this Script as simple as possible.
Moving Average - IntradayMoving Average Intraday Strategy
Basic moving average strategy purpose built for intraday trading. It uses two simple moving averages & takes a positions on crossover.
Position is reversed when signal changes by using double quantity. Once the intraday session is over & if the position is open; it is squared off.
Users can define intraday session during which the strategy will run.
Parameters:
Intraday Session - Defines the duration for which the strategy should execute.
Short Term Moving Average Period
Long Term Moving Average Period
Directional Matrix [LuxAlgo]Returns a dashboard showing the direction taken by 4 overlay indicators, SMA (simple moving average), TMA (triangular moving average), WMA (weighted moving average), and REG (linear regression), all using different length periods.
The user can select the minimum and maximum length of these indicators and introduce an increment.
1. Settings
Maximum Length: The end value of sequences of the indicator periods to analyze
Minimum Length: The starting value of sequences of the indicator periods to analyze
Step: Determines the spacing between each indicator periods values
Src: Data source for each of the 4 indicators
1.1 Style settings
Normalized Change Mode: Allows the user to access a different interpretation of the indicator by showing the normalized first differences of each indicator in the dashboard instead of their sign
Dashboard Location: Location of the dashboard on the chart
Dashboard Size: Size of the dashboard on the chart
Text/Frame Color: Determines the color of the frame grid as well as the text color
Bullish Cell Color: Determines the color of cell associated with a rising indicator direction
Bearish Cell Color: Determines the color of cell associated with a decreasing indicator direction
Cell Transparency: Transparency of each cell
2. Usage
Each of the indicators included in the dashboard aim to give an estimate of the underlying trend in the price. Knowing which direction they are taking can help us have a broader view regarding the direction of shorter/longer-term trends. We will later see that this is not the only kind of information that we can get from this indicator.
Rising indicators are represented by blue cells (or the color selected in the Bullish Cell Color setting) while decreasing indicators are represented by red cells (or the color selected in the Bearish Cell Color setting).
The percentage of bullish cells is given in the top-left cell of the dashboard.
2.1 Normalized change mode
Enabling the Normalized Change mode will display the normalized changes returned by the indicators over different length periods. This metric is within a range (0,1), with 1 indicating the highest change over the selected length periods, while 0 indicates the lowest one.
When enabling this mode the color of the cells makes use of a gradient with a color palette ranging from the color selected in the Bearish Cell setting to the color selected in the Bullish Cell setting.
2.1 Other Usage
The direction taken by certain indicators can give more information than one would think. Indeed, the sign of the change of one indicator can often be given by different indicators.
A positive change in a simple moving average indicates that the price is greater than the price p bars ago, where p is the period of the simple moving average.
A positive change in a triangular moving average indicates that a simple moving average of period p is above a simple moving average of period p × 2 , where p is the period of the triangular moving average (note that we assume here that the TMA is given by cascading two SMAs of period p ).
A positive change in a weighted moving average indicates that the price is above a simple moving average of period p+1 , where p is the period of the WMA.
Finally, a positive change in a linear regression indicates that a weighted moving average is above a simple moving average of period p , where p is the period of the linear regression.
Table: EMA SurveillanceThis script will show information of interest about Moving Averages from the selected timeframe.
The idea is to provide data from higher timeframes (Daily preferably).
The information provided includes:
• selected length and calculation
• a relative position of the close to the average (above, below, and how much)
• how many periods passed since the moving average has been tested - any break counts as a test, it doesn't have to close on the opposite side
Global Settings:
• Timeframe of the moving averages
• Choose to see simple words such as "Above" / "Below" OR the specific percentage OR how much percentage % it moved from the moving average?
• EMA or SMA
Moving Average Settings:
• Up to 6 different lengths
• You can deactivate the averages you don't need
I hope it will be useful. Good luck!
Borg's BaselineMoving average baseline comprised of and an adjustable Keltner Channel band around the MA.
Used as directional bias indicator in systems trading.
