Davin's 10/200MA Pullback on SPY Strategy v2.0Strategy:
Using 10 and 200 Simple moving averages, we capitalize on price pullbacks on a general uptrend to scalp 1 - 5% rebounds. 200 MA is used as a general indicator for bullish sentiment, 10 MA is used to identify pullbacks in the short term for buy entries.
An optional bonus: market crash of 20% from 52 days high is regarded as a buy the dip signal.
An optional bonus: can choose to exit on MA crossovers using 200 MA as reference MA (etc. Hard stop on 50 cross 200)
Recommended Ticker: SPY 1D (I have so far tested on SPY and other big indexes only, other stocks appear to be too volatile to use the same short period SMA parameters effectively) + AAPL 4H
How it works:
Buy condition is when:
- Price closes above 200 SMA
- Price closes below 10 SMA
- Price dumps at least 20% (additional bonus contrarian buy the dip option)
Entry is on the next opening market day the day after the buy condition candle was fulfilled.
Sell Condition is when:
- Prices closes below 10 SMA
- Hard stop at 15% drawdown from entry price (adjustable parameter)
- Hard stop at medium term and long term MA crossovers (adjustable parameters)
So far this strategy has been pretty effective for me, feel free to try it out and let me know in the comments how you found :)
Feel free to suggest new strategy ideas for discussion and indicator building
Indicators
3 Series Cross Indicator with Alerts - by WAMRAThis Indicator allows users to add any 3 combinations of moving averages (SMA, EMA, RMA, RSI, Stochastic RSI, WMA, VWAP ) with granular alert conditions.
Users can alert when all series are in climbing or declining mode.
buy sell pressurebuy sell pressure indicator
Every stock /indices /chart is unique in nature. there will always be some kind of buyers and sellers present in these equities/stocks. due to their inherent buying and selling nature, these stocks also develop a pattern. such patterns are not always visible directly on the chart but we can calculate buying and selling pressure for these stocks individually . if we plot a graph on chart , we can easily see when stock is getting and when it is showing strength.
The logic for calculating buying and selling pressure is given below-
buying pressure= 14 days ema of {close- low(1)}
selling pressure= 14 days ema of {high(1)- close}
low (1) indicates 1 day ago candle's low price
high(1) indicates 1 day ago candle's high price
close= recent candle's close price
how to read chart :-
whenever buying pressure line (green color) crosses the selling pressure line (red color)stock will show strength and will go up. if the red line starts to cross the green line then we may see prices go down. so one can book profit here.
there is a unique zero line which is blue in color. it will act as a supreme buy and sell zone. if the green line touches or somehow goes below the zero line(blue line), stock will see strong buying pressure . if the red line (selling pressure line) goes below the zero line, the stock will witness strong selling pressure.
RSI Trend Veracity (RSI TV)The RSI only plots itself between a high and a low value. It does not show its bullish/bearish sentiment.
The RSI TV shows the sentiment and helps anticipate the RSI trend but not the price trend.
When the Trend Veracity Line is in green, there is bullish sentiment. When it is in red, there is bearish sentiment.
The closer the lines get to their extremities, the more the current trend of the RSI is exhausted.
It works quite well even in choppy markets. See notes in the picture for more details.
Adaptive Rebound Line Bands (ARL Bands)These bands consist of 4 ARLs (See: Adaptive Rebound Line ('ARL'/AR Line)) that help accurately spot price rebounds.
It is excellent for 15 minute scalping and price-action trading.
See notes in the picture above for more details.
Note: "Top Deviation" is the deviation of the top 'ARL', "High Deviation" is for the high 'ARL', etc.
RSI Buy & Sell Trading ScriptThis is my first attempt at a trading script using the RSI indicator for Buy & Sell signals (so please be nice but would appreciate any constructive comments).
Starting with $100 initial capital and using 10% per trade
You can select which month the backtesting starts
There is also a monthly table (sorry can’t remember who I got this from) that shows the total monthly profits, but you’ll need to turn it on by going into settings, Properties and in the Recalculate section tick the “On every tick” box
It should do the following:
Open Buy order if the RSI > 68 and the current Moving Average is greater than the previous Moving average
• TP1 = 50% of Order at 0.4%
• TP2 = 50% of order at 0.8%
• SL = 2% below entry
• Close Buy order if the RSI < 30
Open Sell order if the RSI < 28 and the current Moving Average is less than the previous Moving average
• TP1 = 50% of Order at 0.4%
• TP2 = 50% of order at 0.8%
• SL = 2% above entry
• Close Buy order if the RSI < 60
I would like to build on this if you have any ideas/ code that could help like the following:
• Move the SL to break even when it hits TP1
• Move the SL to TP1 when TP2 hits
• Moving take profit code so I can let the some of the trade stay in play (activate if it hits 1% profit and close trade if price retracts 0.5%)
Big Money Flow & Drift Oscillator [Spiritualhealer117]An easy way to track what big money and market makers are doing in the markets. The Big Money Flow & Drift Oscillator is best suited as a trend indicator, estimating what way the market will drift on low volume and what way it will move on large volume.
This oscillator is composed of two lines, the Big Money Flow and Drift Oscillator. The Big Money Flow line gives the average percentage return of the asset when the volume is greater than the EMA of volume, showing that big money is making moves in the market. The Drift Oscillator gives the average percentage return of the asset when the volume is less than the EMA of volume, where pricing is done by small money and market makers.
By default, between the two lines, there is a color fill, determined based on the following logic:
BMF > drift and BMF > 0: Yellow
drift > BMF and drift > 0: Beige
BMF > drift and BMF < 0: Orange
drift > BMF and drift < 0: Red
Bhoomi INDICES 2.1Bhoomi 2.0 is a Market Directional Indicator. It predicts the same by plotting respective zones and Labels.
To request access and to know more Information please contact us here.
Bhoomi 2.0 INDICES works on the Major World Indices as listed on tradingview. More to come in future, but please find the current list below. If you do not see the INDEX you trades, please comment below and we will add that for you.
"SPCFD:SPX"
"TVC:IXIC"
"DJCFD:DJI"
"TVC:NI225"
"CBOE:VIX"
"TSX:TSX"
"TVC:UKX"
"XETR:DAX"
"EURONEXT:PX1"
"EURONEXT:PX1GR"
"EURONEXT:PX1NR"
"TVC:FTMIB"
"TVC:NI225"
"TVC:KOSPI"
"TVC:SHCOMP "
"SZSE:399001"
"HSI:HSI"
"TVC:STI"
"ASX:XJO"
"NZX:NZ50G"
"TWSE:TAIEX"
"FTSEMYX:FBMKLCI"
"IDX:COMPOSITE"
"TVC:SX5E"
"BME:IBC"
"SIX:SMI"
"GPW:WIG20"
"EURONEXT:AEX"
"EURONEXT:BEL20"
"INDEX:BEL20"
"MOEX:IMOEX"
"OMXHEX:OMXH25"
"OMXICE:OMXI10"
"OMXSTO:OMXS30"
"OMXCOP:OMXC25"
"BELEX:BELEX15"
"OMXRSE:OMXRGI"
"OMXTSE:OMXTGI"
"OMXVSE:OMXVGI"
"BIST:XU100"
"TASE:TA35"
"TVC:SA40"
"NSE:NIFTY"
"BSE:SENSEX"
"DFM:DFMGI"
"TADAWUL:TASI"
"QSE:GNRI"
"BAHRAIN:BSEX"
"NSENG:NSE30"
"EGX:EGX30"
"BMFBOVESPA:IBOV"
"BMV:ME"
"BYMA:IMV"
"BVC:ICAP"
"BCS:SP_IPSA"
"BVL:SPBLPGPT"
"CURRENCYCOM:US500"
"CURRENCYCOM:US300"
"CURRENCYCOM:US100"
"CURRENCYCOM:US30"
"INDEX:DEU30"
"CBOE:VXD"
INDEX:DE40
BUY/SELL arvwis STORMASBuy/sell indikatorius, geriausia naudoti ant didesnių timefreimų, bet tinka ir ant mažesnių
Price change scalping short and long strategy indicatorPrice change scalping Short and Long indicator uses a rate of change momentum oscillator to calculate the percent change in price between a period of time. Rate of change calculation takes the current price and compares it to a price of "n" periods while the period of time can be defined by a user. The calculated rate of change value is then compared to the upper threshold and the lower threshold values to determine if a position should be opened. If the threshold is crossed and filtering conditions are met a strategy position will be triggered. Entry, take profit, and stop loss prices are calculated and displayed on the chart as well as positions directions. Once the entry price is crossed, a long or short position is created and once the take profit price is crossed, the stop loss price will begin to trail behind the price action using the close of the previous bar. Once the trailing stop price is crossed, the position is closed. If the entry price is not crossed and the price action crosses the stop level, the trade setup is cancelled. The indicator is enhanced by DCA algorithm which allows to average entry price with safety orders. The script also allows to use Martingale coefficient to increase averaging power
Advantages of this script:
The indicator has custom alert settings for each strategy action
The indicator can be used with 3Commas, Cryptohopper, Alertatron or Zignaly bots
High frequency and low duration of trades
Can be used with short-term timeframes ranging from 5 to 60 minutes
Indicator is sustainable to market slumps due to DCA implementation
Can be used for short and long positions (can be adjusted to long only, short only or both)
Can be applied to any market and quote currency
Easy to configure user interface settings
Built in detailed statistic menu
How to use?
1. Apply the indicator to a trading pair your are interested in using 5 to 60 minutes 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. 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
Crypto Force IndexIntroduction
The Crypto Force Index (CFI) indicator helps us understand the current strength and weakness of the price. It is very useful when used on high timeframes for investment purposes and not for short term trading.
To determine the strength and weakness of the price, a level grid based on the RSI indicator is used.
Based on the RSI value, red circles (oversold condition) and green circles (overbought condition) appear under the price candles. The more intense the color of the circles, the more that the current price is in an overbought or oversold condition.
The signal levels are all configurable to adapt the indicator across multiple instruments and markets.
The default configuration have been designed to obtain more accurate signals on Ethereum and Bitcoin, using the weekly timeframe.
Why Crypto Force Index?
The Crypto Force Index (CFI) is the consequence of my study of investments based on the accumulation plan. I wanted to demonstrate that I am improving the returns of the classic DCA ( dollar cost averaging ) and VA ( value averaging ).
After finding my own model of an accumulation plan, I decided to create the Crypto Force Index to help me visually enter the market.
The formulas of the indicator are very simple, but my studies confirm the power of this tool.
How are the signals to be interpreted?
The Crypto Force Index helps us to highlight the overbought and oversold areas, with the use of circles under the price of candles and with a thermometer inserted at the base of the graph, where all the phases of strength and weakness are highlighted.
As soon as the red circles start to appear on the chart, that may be a good time to enter LONG to the market and start accumulating. If the circles are green, we can consider decreasing the current exposure by selling part of your portfolio, or decide to stay flat.
I personally use these signals on the weekly timeframe, to decide to feed my accumulation plan at the beginning of each month.
I hope it can be of help to you! Please help me improve the Crypto Force Index! :)
Autocorrelative Power Oscillator (APO) [SpiritualHealer117]This indicator is very strong in identifying short-term trends, and was made for trading stocks and commodities. When it is green, it indicates an uptrend, and red indicates a downtrend. The transparency of the columns illustrates the strength of the trend, with transparent columns indicating weakness, while solid columns indicate strength.
Basic Explanation of the Indicator
This indicator calculates an asset's Pearson's R coefficient when compared with several different lags of the stock's price. After that, the oscillator checks whether the indicator is in the green or red compared to those correlations, and takes the sum of the correlative periods to predict which direction the market should go based on the relationship of the current price with its past correlations.
Opens, Closes, Highs and Lows.Hello Traders, the script below is designed to display the monthly, weekly, previous days' and current days' open, close, high and low.
I designed it to assist in top down analysis by knowing the monthly and weekly opens and closes it makes it a lot easier to make trading decisions on the lower timeframes.
As the user you can choose which price values you'd like displayed on the chart by selecting them in the user inputs.
Enjoy!!
Squeeze Momentum Indicator [LazyBear] added Alerting + webhookA modified version of Squeeze Momentum Indicator visualizing on Price Chart.
author: @LazyBear, modified by @KivancOzbilgic, and by @dgtrd
I took in all of the information as the script below is based on the V2 Script that @LazyBear posted and then added Alerting based on the math and the conditions that @dgtrd added.
Per the description here:
The Squeeze Indicator measures the relationship between Bollinger Bands and Keltner's Channels to help identify consolidations and signal when prices are likely to break out (whether up or down).
The Squeeze Indicator finds sections of the Bollinger Bands which fall inside the Keltner's Channels, and in this case, the market is said to be in a squeeze (indicator turns off, displayed with grey diamond shapes in this study).
When the volatility increases, so does the distance between the bands. Conversely, when the volatility declines, the distance also decreases, and in such cases, the squeeze is said to be released (indicator turns on, displayed with triangle up or triangle down shapes)
Taking the above information and what was in the script was able to base the alert conditions:
So when the condition:
Squeeze On or No Squeeze = In Squeeze
Squeeze Off = Squeeze Release Long or Squeeze Release Long based off conditions.
There are 2 separate alert Types.
1. App, Pop-up, eMail, play sound and Send email to SMS
2. It Is dedicated to Webhook for your various applications.
Alerting Options
i.imgur.com
App Notification
i.imgur.com
i.imgur.com
Webhook test into Discord
i.imgur.com
[KRONOS] DeviationsDescription
This indicator calculates the differences between the current price and the local support or resistance, and normalizes it into a range.
The value basis is calculated from a defined period of time that is then multiplied to get a standard deviations and a max. and min. value subtracted and divided into a final value.
It includes
Extreme zones. This value appears as blue and red lines which deviates from the oversold to overbought range.
Momentum. Lower time frame momentum is represented by a gray histogram as well as a signal line oscillating from a red to blue color.
Strong reversal. Red ( bearish ) and blue ( bullish ) columns will appear on the histogram when our algorithm detects that the strength of momentum is coming to an end indicative of a trend reversal.
Trend confirmation. Red or blue arrows will act as a trend confirmation.
Support and resistance . The zero line will frequently serve as a S/R area.
Divergences. You can use this indicator to detect potential pivot areas.
How to use?
Sell/Short when the histogram shows a red column and the signal line is in or above the overbought area (colored in red).
Buy/Long when the histogram shows a blue column and the signal line is in or below the oversold area (colored in blue).
extra tip: if you entered a trade based on the above conditions, you can partially increase your position each time you see a confirmation arrow.
[KRONOS] MomentumDescription
This indicator is based on an algorithm which provides accurate momentum tracking on every timeframe. It is visualized as a colored histogram and through some other tools.
The value is calculated from an exponentially weighted moving average that is used to get a high and a low deviation, merging the last value into a range.
It includes
Overbought and oversold fixed areas. Their purpose is to facilitate the recognition of areas where the trend is likely to end or cool down. They are also marked with a background coloring.
Zero line. It typically represents a change of trend when the price crosses under or over it.
Volume shifts. Colored arrows will appear whenever a volume change is detected.
How to use?
Buy/Long on a blue confirmation arrow
Sell/Short on a red confirmation arrow
Take profit when the indicator starts showing a blue background
Take profit when the indicator starts showing a red background
extra tip: the zero line often acts as support / resistance similarly to the overbought and oversold areas
Statistical Correlation Algorithm - The Quant ScienceStatistical Correlation Algorithm - The Quant Science™ is a quantitative trading algorithm.
ALGORITHM DESCRIPTION
This algorithm analyses the correlation ratios between two assets. The main asset (on the chart), and the secondary asset (set by the user). Then apply the long or short trading strategy.
The algorithm divides trading work into three parts:
1. Correlation analysis
2. Long or short entry
3. Closing trades
Inside the strategy: the algorithm analyses the percentage change yields from a previous session, of the secondary asset. If the variation meets the set condition then it will open a long or short position, on the primary asset. The open position is closed after 'x' number of sessions. Stop loss and take profit can be added to the trade exit parameters.
Logic: analyses the correlation between two assets and looks for a statistical advantage within the correlation.
INDICATOR DESCRIPTION
The algorithm includes a quantitative indicator. This indicator is used for correlation analysis and offers a quick reading of the quantitative data. The blue area shows the correlation ratio values. The yellow histograms show the percentage change in the yields of the main asset. Purple histograms show the percentage change in secondary asset yields.
GENERAL FEATURES
Multi time-frame: the user can set any time-frame for the secondary asset.
Multi asset: the user analyses the conditions on a second asset.
Multi-strategy: the algorithm can apply either the long strategy or the short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated indicator: the quantity indicator is included.
Backtesting included: automatic backtesting of the strategy is generated based on the values set.
Auto-trading compliant: functions for auto trading are included.
USER INTERFACE SETTINGS
Through the intuitive user interface, you can manage all the parameters of this algorithm without any programming experience. The user interface is extremely descriptive and contains all the information needed to understand the logic of the algorithm and to configure it correctly.
1. Date range: through this function you can adjust the analysis and working period of the algorithm.
2. Asset: through this function you can adjust the secondary asset and its time-frame. You can enter any type of asset, even indices and economic indicators.
3. Asset details: this function is used to adjust the percentage change to be analyzed on the secondary asset. The analysis and input conditions are also chosen.
4. Active long or short strategy: this function is used to set the type of strategy to be used, long or short.
5. Setting algo trading alert: with this function, users can manage alerts for their web-hook.
6. Exit&Money management: with this function the user can adjust the exit periods of each trade and activate or deactivate any stop losses and take profits.
7. Data Value Analysis: this function is used to adjust the parameters for the quantity indicator.
Probabilistic Analysis Table - The Quant ScienceProbabilistic Analysis Table - The Quant Science ™ is the quantitative table measuring the probability of price changes and quantifies the ratio of sessions for three different assets.
This table measures the ratios of bull and bear events and measures the probability of each event through data generated automatically by the algorithm.
The data are calculated for three different assets:
1. Main asset: set on the chart.
2. Second asset: set by user interface.
3. Third asset: set by the user interface.
The timeframe is set by the chart and is the same for all three assets. You can change the timeframes directly from the chart.
The user can add tickers and adjust the analysis period directly from the user interface. The user can edit the percentage changes and the values to be analyzed for each asset, directly from the user interface.
TABLE DESCRIPTION
1. Total global trade session: are the total number of bars for each asset.
2. Total positive trade session: are the number of positive bars for each asset.
3. Probability positive trade session: is the ratio of total sessions to positive sessions.
4. Total negative trade session: are the number of negative bars for each asset.
5. Probability negative trade session: is the ratio of total sessions to negative sessions.
6. Positive trade session 0.50%: are the number of positive bars greater than 0.50% for each asset.
7. Probability positive trade session 0.50%: is the ratio of total sessions to positive sessions with increases greater than 0.50% (this value is set by default, you can change it from the user interface).
8. Negative trade session -0.50%: are the number of negative bars smaller than -0.50% for each asset.
9. Probability negative trade session -0.50%: is the ratio of total sessions to negative sessions with declines less than -0.50% (this value is set by default, you can change it from the user interface).
10. Positive trade session 1%: are the number of positive bars greater than 1% for each asset.
11. Probability positive trade session 1%: is the ratio of total sessions to positive sessions with increases greater than 1% (this value is set by default, you can change it from the user interface).
12. Negative trade session -1%: are the number of negative bars less than -1% for each asset.
13. Probability negative trade session -1%: is the ratio of total sessions to negative sessions with declines less than -1% (this value is set by default, you can change it from the user interface).
This table was created for traders and quantitative investors who need to quickly analyze session ratios and probabilities.
Yield Trend Indicator - The Quant ScienceYield Trend Indicator - The Quant Science™ is a quantitative indicator representing percentage yields and average percentage yields of three different assets.
Percentage yields are fundamental data for all quantitative analysts. This indicator was created to offer immediate calculations and represent them through an indicator consisting of lines and columns. The columns represent the percentage yield of the current timeframe, for each asset. The lines represent the average percentage yield, of the current timeframe, for each asset.
The user easily adds tickers from the user interface and the algorithm will automatically create the quantitative data of the chosen assets.
The blue refers to the main asset, the main set on the chart.
The yellow refers to the second asset, added by the user interface.
The red refers to the third asset, added by the user interface.
The timeframe is for all assets the one set to the chart, if you use a chart with timeframe D, all data is processed on this timeframe. You can use this indicator on all timeframes without any restrictions.
The user can change the type of formula for calculating the average yield easily via the user interface. This software includes the following formulas:
1. SMA (Simple Moving Average)
2. EMA (Exponential Moving Average)
3. WMA (Weighted Moving Average)
4. VWMA (Volume Weighted Moving Average)
The user can customize the indicator easily through the user interface, changing colours and many other parameters to represent the data on the chart.
Grid Premium Indicator - The Quant ScienceGrid Premium Indicator - The Quant Science™ is an indicator that represent the grid trading strategy. Unlike our GRID SPOT TRADING ALGORITHM (which buys in a "buy the dip" style, offering a swing type operation) this indicator uses a trend following strategy with a larger number of grids.
A trend-following strategy in a grid algorithm allows you to open long positions if price rises and breaks up or open short positions if price breaks down.
This indicator was created following the guidelines of the best grid algorithms on 3Commas, Bitsgap, Kucoin, and Binance.
Our goal is to recreate a universal and trust model for all traders and investors who use grid algorithms for their trading.
The ideal market condition as for all grid algorithms is the side market. In the side market this algorithm will create profit during upward movements.
The trader using this algorithm can use it to:
1. Manual trading
2. Backtesting
3. Algorithmic trading
HOW TO SET UP
Using this indicator is very simple. We have configured the creation for a three-step set up. You can manage it without any problems experience in coding. All you have to do is click the grid start and end level and the indicator will automatically load generating the grids and backtesting.
OPERATIVITY
Each open trade is long and is opened when the price crossover an upward level. Each order is closed at the next level. If the price breaks upward or downward the extremes of the grid the algorithm stops trading and will not open any more positions.
FEATURES
Grids: this indicator generates 20 levels of grids.
Direction: opens exclusively long positions.
Strategy: trend-following.
Data table: a table collects all the quantitative data on the strategy's performance. By entering your broker's commission costs and initial capital you will have an instant report on the strategy's performance.
MAIN ADVANTAGE
Compound Interest: the high number of grids allows the gains from each trade to be reinvested quickly by speeding capitalization through compound interest.
LIMITATIONS OF THE MODEL
Like all grid strategies, maximum profit is made when the market is flat or sideways. A market with a bullish or bearish trend does not allow you to generate good profits with this strategy.
Ethereum OnChain Data Indicator - The Quant ScienceEthereum On Chain Data Indicator - The Quant Science™ is a quantitative indicator created for mid-long term analysis.
The indicator uses quantitative statistics to recreate a model that represents the most important data from the on-chain analysis for the Ethereum blockchain.
The on-chain data used to create this model are:
1. Total weekly transactions
2. Total monthly transactions
3. Frequency of transactions per second on a daily scale
4. Frequency of transactions per second on a weekly scale
5. Amount of Ethereum burned on a daily scale
6. Amount of Ethereum burned on a weekly scale
7. Volume of short positions on a daily scale
8. Volume of short positions on a weekly scale
9. Volume of short positions more/less than average on a daily scale
10. Volume of short positions more/less than average on a weekly scale
All these data were extrapolated and manipulated using the mean and standard deviation.
The end result is a powerful tool that enables mid-long term investors and traders to analyze on-chain data through quantitative analysis.
FEATURES
The blue color area refers to the average change in data on a weekly scale. The light blue colored area indicates the monthly changes in the data. It is interesting to observe the correlation relationship between price and times when short-run data increases compared to long-run data and vice versa.
The more intense purple histograms refer to the standard deviation of the mean change in data on an annual scale. Histograms of less intense purple color refer to the standard deviation of the mean variation of data on a monthly scale. It is interesting to observe the ratio of the standard deviation between two different time periods.
This indicator can be used to perform statistical comparative analysis for manual and mid-long term investments. It can also be used to create auto trading strategies when used and integrated within an algorithm.
On-chain data are updated every 24 hours, so the timeframes to be used for analysis with this indicator are: D, 4H, 1H.
Trend101 v5Welcome to what I believe to be the best indicator on TradingView. Trend101 v5
"Not all trends are made equal"
You should be only trading the trends that matter most... The basis of this script is using volume to rank price trends and give more prominence to the trends that are backed by volume, enabling you to only focus on riding the trends that matter.
If we see a trend with high volume, this will show up in the indicator with larger green or red columns / bars & the trends with low volume will cause little movement in the indicator.
Some indicators are great at showing price trends, some are great at showing volume... Trend101 v5 is great at showing both of these.
This indicator can be used in a variety of ways:
1) The most simplistic is to trade crossovers from Bull > Bear trends and vice versa. This alone can be profitable with a "scalping" mindset where you ride the trend until it shows signs of weakness.
2) The other way I use this indicator is to act as a confirmation tool... for example if price is approach a level of support, you can wait until the price shows signs of rejection and then your confirmation for entry is that Trend101 v5 will change to green. (& the opposite for levels of resistance).
Finally you are also able to use the Timeframe input to select different timeframes, this is useful to use two Trend101 indicators together to filter trade entries. An example would be using one Trend101 indicator set on the 15min timeframe and one set on the Daily timeframe and when both of these align in the same trend direction you are able to enter your trade.
I will produce a video "How To..." guide for this indicator shortly to explain other details.
Let me know in the comments below how you are using the indicator and all feedback is welcome.
Volume [Educational]Hello All,
This is an educational work and it's developed to show how to write scripts that will work like built-in volume indicator.
We have new features in Pine Script™ Language, such chart.bg_color, chart.fg_color, chart.left_visible_bar_time, chart.right_visible_bar_time and many more. Many Thanks to Tradingview and Pine Team for such great additions!
You can find more information about these new functions here .
How the script works?
- At the first step it calculates how many visible bar on the chart by using chart.right_visible_bar_time and chart.left_visible_bar_time functions.
- Calculates the zero line for the volume
- Finds maximum volume on visible area and normalize all volume values
- Draws volume bars
- Shows volume info as indicator value. in this step it uses chart.fg_color and plotarrow() commands to show the values in optimum color.
In order to place the indicator at the bottom of the chart, Please set Bottom Margin = 0 as shown in the following screenshot:
You can change the volume bar colors optionally.
An Example screenshot with different volume bar colors:
Enjoy!
