GS_Opening-Range-V1ORB Opening Range Breakout 5 and 3O Minute Indicator
Kudos to Chris Moody for the inspiration to create my first indicator.
The 5 and 30 run together at times but the scalp would be when the equity breaks the 5 go long or short for the scalp and when it breaks the 30 go for the swing trade.
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[RS][ALPHA]Predictive Range Analysis V0this code is untested use at your own risk...
applying timed price change over the square to predict price expansion or contraction of the range, it is not predicting the future price only the range that is possible for the price to be in within a margin of error of possibility, with that said i think its very unlikely for price to fall outside the range, due to virtual constraint applied by the auto corrective/cyclical nature of price action.
Average True Range Trailing Stops ColoredAverage True Range Trailing Stops Strategy, by Sylvain Vervoort
The related article is copyrighted material from Stocks & Commodities Jun 2009
Average True Range Trailing Stops, by Sylvain Vervoort Average True Range Trailing Stops, by Sylvain Vervoort
The related article is copyrighted material from Stocks & Commodities Jun 2009
5 Day Average Daily RangeSimple 5 day average range, adjust to true price movement rather than fixed levels.
-Enjoy
Range Projections [TFO]The purpose of this indicator is to see how often price reached certain standard deviations from a selected time range. The inspiration for this was to study ICT (Inner Circle Trader) concepts regarding the Central Bank Dealer’s Range (CBDR), which is 2:00 pm - 8:00 pm New York local time according to ICT Core Content. However, the idea and data collection could certainly be applied to any range of time.
The main settings of this indicator are session time, range type, and the standard deviation filter. The session time is the window of price that will be utilized for range projections. The range type can be either body or wick (on the current timeframe). The standard deviation filter is used to eliminate sessions whose ranges (from high to low) are greater than the desired/input number of standard deviations from all available session ranges.
In this example, the time range is set to 16:00 - 20:00, or the time between the New York session close and the Asia session open. Our standard deviations are set to 1, 2, 2.5, and 4. Now, by taking this session’s price range and extrapolating these extensions from the initial range, we can use these levels to see if and how price interacts with them before the next 16:00 - 20:00 session.
Furthermore, we can enable the Data Table to analyze how often price trades to these levels for the sessions that are deemed valid (determined by the standard deviation filter). This time our standard deviations are set to 1, 2, 3, and 4.
This concept can theoretically be applied to any window of time. ICT has mentioned that, in instances where the CBDR is too large, the Asia range may be used instead. We can observe that the indicator behaves the same way when we change the session to the Asia range, 20:00 - 00:00.
Ranged Volume DCA Strategy - R3c0nTraderUpdate: Republishing this as Public Open-Source script.
Credits:
Thank you "EvoCrypto" for granting me permission to use "Ranged Volume" to create this strategy.
Thank you "junyou0424" for granting me permission to use "DCA Bot with SuperTrend Emulator" which I used for adding bot inputs, calculations, and strategy
What does this do?
This script is mainly used for backtesting a Ranged Volume strategy to see how a 3Commas bot would perform.
I created this script out of necessity and I wanted a way to test a 3Commas DCA bot with a strategy based on “Volume.”
I came across "EvoCrypto’s" "Ranged Volume" study and strategy in TradingView and I liked it. I wanted to configure it so it can be used for DCA bot backtesting. I used parts from "junyou0424’s" "DCA Bot with SuperTrend Emulator" to add the following:
1. The Start Time and End Time
2. Price deviation to open safety orders (%)
3. Target Take Profit (%)
4. Trailing deviation
5. Base Order and Safety Order
6. Safety order volume scale
7. Safety order step scale
8. Max safety orders
In addition to the above, I also added chart indicators for "Take Profit" as well as "Safety Order"
Pre-requisites:
You can use this script without a 3Commas account and see how 3Commas DCA Bot and Ranged Volume strategy would perform vs. a non-DCA strategy. However, I highly recommend signing up for their free account and going through their training. This would give you a base understanding on the settings you will see in this strategy and why you will need to know them.
That said these are the pre-requisites I suggest you have:
1. Base Knowledge of 3Commas DCA bots
2. Base knowledge of settings such as “Max safety trades count”, “safety order volume scale” and “safety order step scale”. If these are alien to you, I suggest you read up on these.
3. Knowledge of setting up a Single-pair 3Commas bot for receiving custom TradingView signal.
4. A paper-bot to test your ideas. (Do not use a real money bot until you have tested it sufficiently with a paper-bot. You alone are responsible for your results!)
5. Add the study I created called "R3c0nTrader’s Ranged Volume Study” which adds a separate chart in its own pane showing the volume spikes. It will also generate the “buy” signals for your bot. NOTE: The study also has the same color scheme as this strategy and having the colors in both the strategy and the study will make things easier to see. If you use EvoCrypto’s Ranged Volume Study instead, just keep in mind that the colors won’t match, and you will have to manually match them.
6. Make your buy signals from your strategy are the same as in your study! To do this, use the same “Volume Range Length” you entered in the STRATEGY and enter that value for the “Volume Range Length” in the STUDY. Also ensure you have the same settings for “Heikin Ashi” (On or Off).
Comparisons of Ranged Volume Strategy vs Ranged Volume DCA Strategy
BTCUSD
Beware of Strategies that claim super high profits. This can easily be done by lowering the initial capital to something unrealistic. If I did that with this strategy and set the initial capital $100 and base order size to $100, I get a net profit of 2,864% which is not realistic.
How to Use
1. On the “Inputs” tab:
a. Set your Start and End Time to backtest against.
b. Set your “Volume Range Length” (number of bars to look back)
c. “Heikin Ashi Colors” – Usually I leave this enabled
d. “Show Bar Colors” – Leave enabled
e. “Show Break-Out” – Leave enabled
f. “Show Range” – Leave enabled
g. Set your other inputs which are those settings you would find in your 3Commas bot that you want to test (e.g., Price deviation to open safety orders, Target Take Profit, Base order, Safety order, etc.).
h. Quick Example for BTCUSD on 2hr chart:
i. Price deviation to open safety orders (%) = 6
ii. Target Take Profit (%) = 14
iii. Trailing deviation = 0
iv. Base order = 100
v. Safety order = 200
vi. Safety order volume scale = 2
vii. Safety order step scale = 1.4
viii. Max safety order = 5
2. On the “Properties” tab, set your initial capital, base currency, etc.
a. Initial capital – Default is 10,000 (Please use realistic values here. The amount here should be able to cover ALL your safety orders if they were triggered. Ideally, you should have funds left over and not use all trade capital.)
b. Base currency – Select your currency
c. Order Size - Not used. Use the “Inputs” tab to change your base order size.
d. Leave “Pyramiding” set to 999. This acts as a ceiling to the “Max safety orders” on the “Inputs” tab. It must always be higher than your “Max safety orders.” For example, if you set your “Max safety orders” to “4” and “Pyramiding” to “4” then it effectively means you have “3” “Max safety orders” and not “4” because it is counting each successive entry including the initial order.
e. “Commission” - Optional
f. “Verify price for limit orders” – Leave at zero. This does not change anything that I can tell.
g. Optional - Enter a value for “Commission”
h. Slippage – Optional. Slippage does not occur in backtesting but does occur in real trading but it can be simulated. Example use case for tracking performance of a real money bot: You enter the start date and time of your bot’s trade into this strategy and you notice some values are a little off due to slippage (average price, take profit, safety orders are not lining up) then you would go back here and increase the slippage until those lines up close enough with your actuals.
i. Margin for long positions – I don’t use this honestly.
j. Margin for short positions – I don’t use this honestly.
k. Recalculate “After order is filled” and “On every tick” – I don’t use this honestly.
3. “Style” tab
a. Ranged Volume Bar Coloring - You must disable bar coloring in any studies you added or this may not work properly
i. Color 0 – Default Yellow; appears when a volume breakout occurs
ii. Color 1 – Default Red; appears when a volume breakdown occurs
iii. Color 2 – Light Blue; appears when Close is higher than the Open
iv. Color 3 – Dark Blue; appears when the Close is lower than the Open
b. Take profit – Default Green; take profit line
c. Safety order – Default Light Blue; safety order line
d. No Safety Orders left – Default Red; when a trade runs out of safety orders, the line turns red and there is no safety orders left underneath to catch any further falling price movements.
e. Avg Position Price – Default Orange; your average position price for any given trade.
f. Take Profit Plot Area – Default Green; creates a highlighted area for your take profit
g. SO Plot Area – Default Light Blue; creates a highlighted area for your safety orders
h. Trades on chart – Show or hide your trades on the chart
i. Signal labels – Show or hide the trade signal labels on the chart
j. Quantity – Show or hide the trade quantity on the chart
Explanation of Chart lines and colors on chart
Range PolarityDescription:
This indicator is a "Rate of Change" style oscillator designed to measure market dynamics through the lens of price ranges. By utilizing the true range in conjunction with high and low separation, this script produces two distinct oscillators: one for positive price shifts and one for negative price shifts.
Key Features:
High/Low Isolation:
The script calculates the relative movement of upwards and downwards price movements over a user-defined period. This separation provides a nuanced view of market behavior, offering two separate signals for comparison.
Dynamic Transform Smoothing:
A smoothing transform is applied to the signals, ensuring better outlier handling while maintaining sensitivity to price extremes. This makes the oscillator especially suited for identifying overbought and oversold conditions.
Zero-Centered:
The zero line acts as a "gravity point," where shifts away or toward zero indicate market momentum. Signal crosses or reversals from extreme zones can signal potential entry or exit points.
Outlier Identification:
Unlike traditional ATR based strategies (e.g., Keltner Channels ), this indicator isolates high and low ranges, creating a more granular view of market extremes. These measurements can help identify shifts from the outlying positions and reversal opportunities.
Visual Enhancements:
Multiple layers enhance the visual distinction of the positive and negative transformations. Horizontal lines at key thresholds provide visual reference for overbought, oversold, and equilibrium zones.
How to Use:
Primary signals are shifts from outlying positions or a positive/negative cross. An extreme reading itself can reveal an incoming reversal when calibrated with other indicators or compared with higher timeframes. Pairing "Range Polarity" with volume and momentum can create a comprehensive strategy.
In conclusion, be aware the base length controls the window for high/low contributions while the transform smoothing enhances the raw data through normalization within a tempered range to filter out insignificant fluctuations.
Merry Christmas to all and have a Happy New Year!
Range Weighted Moving Average (RWMA)The Range Weighted Moving Average (RWMA) :
The Range Weighted Moving Average (RWMA) is a variation of the traditional moving average that incorporates the price range within each period as a weighting factor.
It assigns higher weights to periods with larger price ranges, aiming to provide a moving average that responds more dynamically to changes in price range and volatility.
Compared to a normal Simple Moving Average (SMA) or Exponential Moving Average (EMA), the RWMA offers several potential advantages:
Why do i think its better than Normal SMA , EMA ?
Increased Sensitivity: The RWMA reacts faster to changes in price compared to traditional moving averages. By incorporating the price range, which represents the volatility of each period, the RWMA gives more importance to periods with larger price ranges. This increased sensitivity can help traders identify price movements and trends more quickly.
Adaptive to Volatility: The RWMA adjusts dynamically to changes in market volatility. During periods of high volatility, the RWMA places more weight on those periods, capturing and reflecting the increased price movements. This adaptability allows the RWMA to be responsive to different market conditions and better capture significant price swings.
Filtering Potential: The RWMA can be utilized as a filtering tool in trading strategies. By using the RWMA as a trend indicator or filter, traders can focus on trades that align with the direction indicated by the RWMA. This filtering mechanism can help eliminate trades that go against the prevailing momentum, potentially improving the overall quality of trade entries.
Ranged Volume Study - R3c0nTraderCredits:
Thank you "EvoCrypto" for granting me permission to use "Ranged Volume" to create this version of it.
What is this and What does this do?
This study shows the ranged volume, and it can be used to produce buy signals for a 3Commas bot.
What’s different about this script?
I added code so that negative volume has its own color settings and lower opacity than the positive volume.
I changed the color scheme from Yellow, Red, Green, and Black to Yellow, Red, Light Blue, and Dark Blue.
How to Use
1. On the “Inputs” tab:
a. Set your “Volume Range Length” (number of bars to look back)
b. “Heikin Ashi” – Usually I leave this enabled. Make sure this matches what you have in your strategy!
c. “Show Bar Colors” – Leave disabled. Let the Strategy script color the bars in the price chart.
d. “Show Break-Out” – Leave enabled. Highlights the volume breakout in yellow and breakdowns in red.
e. “Show Range” – Leave enabled
Ranges With Targets [ChartPrime]The Ranges With Targets indicator is a tool designed to assist traders in identifying potential trading opportunities on a chart derived from breakout trading. It dynamically outlines ranges with boxes in real-time, providing a visual representation of price movements. When a breakout occurs from a range, the indicator will begin coloring the candles. A green candle signals a long breakout, suggesting a potential upward movement, while a red candle indicates a short breakout, suggesting a potential downward movement. Grey candles indicate periods with no active trade. Ranges are derived from daily changes in price action.
This indicator builds upon the common breakout theory in trading whereby when price breaks out of a range; it may indicate continuation in a trend.
Additionally, users have the ability to customize their risk-reward settings through a multiplier referred to as the Target input. This allows traders to set their Take Profit (TP) and Stop Loss (SL) levels according to their specific risk tolerance and trading strategy.
Furthermore, the indicator offers an optional stop loss setting that can automatically exit losing trades, providing an additional layer of risk management for users who choose to utilize this feature.
A dashboard is provided in the top right showing the statistics and performance of the indicator; winning trades; losing trades, gross profit and loss and PNL. This can be useful when analyzing the success of breakout trading on a particular asset or timeframe.
Ranged Volume - evoA simple script that shows mirrored regular volume bars with the purpose to show break-outs and low volume ranges, using highest and lowest of a few bars back.
Use Heikin Ashi function to smooth the colors with the trend.
Ranged Volume Strategy - evoThis is the strategy version for the ranged volume indicator I published a few days ago.
Long : First yellow break-out after red
Short : First red break-out after yellow
Because this is volume, you want to be using this on an exchange with high volume for the best results. Default settings are not optimized but work great on bitcoins daily chart.
A short explanation of the indicator below:
Range Delta Heiken Ashi Bollinger|Buy/Sell |OB & OS CandlesPurpose: Mathematically represent buying and selling zones for Daily/ Weekly Traders
Indicator: Calculates moving average of the candle's body with respect to the daily trading range
Buy and Sell Signals: Calculates Bollinger Range with Max/Min and Buy/Sell Bollinger signals
Overbought and Oversold Signals: Candlesticks show overbought and oversold conditions
Level of Difficulty: This indicator was written to make life easier. Follow the Rules and anyone can use it.
Rule 1: Buy when candlestick is below "purple" line
Rule 2: Sell when candlestick is above "blue" line
Rule 3: Add bollinger bands to your currency chart
Rule 4: Confirm indicator bollinger bands with currency chart's bollinger bands
Rule 5: Trade in direction of trend
Rule 6: As with all trading; no indicators are fool proof. Please trade responsibly.
****Full Customization for you****
Suggestion 1: Add bollinger bands to currency chart to improve probability
Suggestion 2: Trade the direction of Trend
Suggestion 3: This indicator works very well with Ranged Markets (or use Suggestion 2)
Disclaimer 1: This Indicator words best on Daily and Weekly time frames
Disclaimer 2: Enjoy the Indicator and feel free to ADD COMMENTS; I worked very hard for you and me :)
((Range||Type||Swing))Consecutive Candle range boxes with gradient and number count. Inside Outside and Engulfing color bars plus plots. Strict swing filter plus bonus filter where the 3rd bar in the swing closes below the swing candles high or low respectfully.
How I Use
I use the candle stick patterns to gauge market conditions, the consecutive candle ranges to follow order flow using a closing break of the range and retest and the filtered swings to assist in identifying stronger. If any one wants to create a strategy around this that would be cool i know nothing of coding and do everything with A.I
turns
Range Breakout Signals [AlgoAlpha]OVERVIEW
This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies.
CONCEPTS
The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction.
FEATURES
Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes.
Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias.
Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction.
Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions.
Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring.
USAGE
Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Range Volume ChangeI was looking for a way to see if today's premarket volume is higher or lower than the previous day's premarket, but did not find any, hence, I made my own which I share with you now.
I call it 'Range Volume Change' or just RVC.
RVC will show the percentage of change between the selected time range and the previous day for the same time range.
This will allow us to see if the volume is increasing or decreasing today compared to the previous day by a specific time range that we set in PVC settings. It can do more than just premarket, you can use it for any time range of your interest which will work on 24hours assets like crypto and forex.
RVC visualizes the incremental of the volume using increasing size columns giving you a better view of how the volume changes compared to the past. The column shows the accumulated volume from when the time range started.
As an extra feature, it will also show the volume percentage of change outside the time range (can be disabled from settings).
In addition, RVC is also designed to work on real-time data.
Example of BTCUSDT (24-hour asset) with volume 'outside the time range', enabled (purple columns):
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Range EstimateAs a trader I need to know what are the best ranges to get in or out
So this tool try to help a little bit .
First we have Pivot points (all forms with fib ,traditional etc)
next is percentage channel (uper=upper % from close and Lper=lower % from close) , in btc I use 3% up or low for 1 hour candles as it give me good range of lower and upper bound . This you need to change for different TF or different assets
next we have Bollinger upper and lower (Bup= Bollinger upper and Blow=Bollinger lower) it has also MTF function
last we MA =,20,50,100,200
in total the aim of this indicator is to give fast glance on the numbers that important to you as trader fast with a clean graph so you can add your indicator to it to see better how they work
The info panel you can change the font size, you can change distance by offset
and the position on the graph , you need to adjust with position -in this case since it btc I put number of 8700
let say it ETH then I put a number 5% above the close number
if it XRP = then the same trick , lets say 0.3 etc
