Multi timeframe Stochastic RSI Screener by noop42Here is a custom x4 timeframes Stochastic RSI screener to add on your charts.
Options
Repaint mode : if enabled: values are updated in live, if disabled: values are updated once the concerned candle is closed
Default parameters
Timeframes: 1, 5, 15, 60
Repaint mode: enabled
Notes
Use the lowest timeframe configured on the screener to get real values
A classic x3 multi-timeframe Stochastic RSI indicator is also available
在腳本中搜尋"市值60亿的股票"
Webhook Starter Kit [HullBuster]
Introduction
This is an open source strategy which provides a framework for webhook enabled projects. It is designed to work out-of-the-box on any instrument triggering on an intraday bar interval. This is a full featured script with an emphasis on actual trading at a brokerage through the TradingView alert mechanism and without requiring browser plugins.
The source code is written in a self documenting style with clearly defined sections. The sections “communicate” with each other through state variables making it easy for the strategy to evolve and improve. This is an excellent place for Pine Language beginners to start their strategy building journey. The script exhibits many Pine Language features which will certainly ad power to your script building abilities.
This script employs a basic trend follow strategy utilizing a forward pyramiding technique. Trend detection is implemented through the use of two higher time frame series. The market entry setup is a Simple Moving Average crossover. Positions exit by passing through conditional take profit logic. The script creates ten indicators including a Zscore oscillator to measure support and resistance levels. The indicator parameters are exposed through 47 strategy inputs segregated into seven sections. All of the inputs are equipped with detailed tool tips to help you get started.
To improve the transition from simulation to execution, strategy.entry and strategy.exit calls show enhanced message text with embedded keywords that are combined with the TradingView placeholders at alert time. Thereby, enabling a single JSON message to generate multiple execution events. This is genius stuff from the Pine Language development team. Really excellent work!
This document provides a sample alert message that can be applied to this script with relatively little modification. Without altering the code, the strategy inputs can alter the behavior to generate thousands of orders or simply a few dozen. It can be applied to crypto, stocks or forex instruments. A good way to look at this script is as a webhook lab that can aid in the development of your own endpoint processor, impress your co-workers and have hours of fun.
By no means is a webhook required or even necessary to benefit from this script. The setups, exits, trend detection, pyramids and DCA algorithms can be easily replaced with more sophisticated versions. The modular design of the script logic allows you to incrementally learn and advance this script into a functional trading system that you can be proud of.
Design
This is a trend following strategy that enters long above the trend line and short below. There are five trend lines that are visible by default but can be turned off in Section 7. Identified, in frequency order, as follows:
1. - EMA in the chart time frame. Intended to track price pressure. Configured in Section 3.
2. - ALMA in the higher time frame specified in Section 2 Signal Line Period.
3. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period.
4. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period.
5. - DEMA in the higher time frame specified in Section 2 Trend Line Period.
The Blue, Green and Orange lines are signal lines are on the same time frame. The time frame selected should be at least five times greater than the chart time frame. The Purple line represents the trend line for which prices above the line suggest a rising market and prices below a falling market. The time frame selected for the trend should be at least five times greater than the signal lines.
Three oscillators are created as follows:
1. Stochastic - In the chart time frame. Used to enter forward pyramids.
2. Stochastic - In the Trend period. Used to detect exit conditions.
3. Zscore - In the Signal period. Used to detect exit conditions.
The Stochastics are configured identically other than the time frame. The period is set in Section 2.
Two Simple Moving Averages provide the trade entry conditions in the form of a crossover. Crossing up is a long entry and down is a short. This is in fact the same setup you get when you select a basic strategy from the Pine editor. The crossovers are configured in Section 3. You can see where the crosses are occurring by enabling Show Entry Regions in Section 7.
The script has the capacity for pyramids and DCA. Forward pyramids are enabled by setting the Pyramid properties tab with a non zero value. In this case add on trades will enter the market on dips above the position open price. This process will continue until the trade exits. Downward pyramids are available in Crypto and Range mode only. In this case add on trades are placed below the entry price in the drawdown space until the stop is hit. To enable downward pyramids set the Pyramid Minimum Span In Section 1 to a non zero value.
This implementation of Dollar Cost Averaging (DCA) triggers off consecutive losses. Each loss in a run increments a sequence number. The position size is increased as a multiple of this sequence. When the position eventually closes at a profit the sequence is reset. DCA is enabled by setting the Maximum DCA Increments In Section 1 to a non zero value.
It should be noted that the pyramid and DCA features are implemented using a rudimentary design and as such do not perform with the precision of my invite only scripts. They are intended as a feature to stress test your webhook endpoint. As is, you will need to buttress the logic for it to be part of an automated trading system. It is for this reason that I did not apply a Martingale algorithm to this pyramid implementation. But, hey, it’s an open source script so there is plenty of room for learning and your own experimentation.
How does it work
The overall behavior of the script is governed by the Trading Mode selection in Section 1. It is the very first input so you should think about what behavior you intend for this strategy at the onset of the configuration. As previously discussed, this script is designed to be a trend follower. The trend being defined as where the purple line is predominately heading. In BiDir mode, SMA crossovers above the purple line will open long positions and crosses below the line will open short. If pyramiding is enabled add on trades will accumulate on dips above the entry price. The value applied to the Minimum Profit input in Section 1 establishes the threshold for a profitable exit. This is not a hard number exit. The conditional exit logic must be satisfied in order to permit the trade to close. This is where the effort put into the indicator calibration is realized. There are four ways the trade can exit at a profit:
1. Natural exit. When the blue line crosses the green line the trade will close. For a long position the blue line must cross under the green line (downward). For a short the blue must cross over the green (upward).
2. Alma / Linear Regression event. The distance the blue line is from the green and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 6 and relies on the period and length set in Section 2. A long position will exit on an upward thrust which exceeds the activation threshold. A short will exit on a downward thrust.
3. Exponential event. The distance the yellow line is from the blue and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 3 and relies on the period and length set in the same section.
4. Stochastic event. The purple line stochastic is used to measure overbought and over sold levels with regard to position exits. Signal line positions combined with a reading over 80 signals a long profit exit. Similarly, readings below 20 signal a short profit exit.
Another, optional, way to exit a position is by Bale Out. You can enable this feature in Section 1. This is a handy way to reduce the risk when carrying a large pyramid stack. Instead of waiting for the entire position to recover we exit early (bale out) as soon as the profit value has doubled.
There are lots of ways to implement a bale out but the method I used here provides a succinct example. Feel free to improve on it if you like. To see where the Bale Outs occur, enable Show Bale Outs in Section 7. Red labels are rendered below each exit point on the chart.
There are seven selectable Trading Modes available from the drop down in Section 1:
1. Long - Uses the strategy.risk.allow_entry_in to execute long only trades. You will still see shorts on the chart.
2. Short - Uses the strategy.risk.allow_entry_in to execute short only trades. You will still see long trades on the chart.
3. BiDir - This mode is for margin trading with a stop. If a long position was initiated above the trend line and the price has now fallen below the trend, the position will be reversed after the stop is hit. Forward pyramiding is available in this mode if you set the Pyramiding value in the Properties tab. DCA can also be activated.
4. Flip Flop - This is a bidirectional trading mode that automatically reverses on a trend line crossover. This is distinctively different from BiDir since you will get a reversal even without a stop which is advantageous in non-margin trading.
5. Crypto - This mode is for crypto trading where you are buying the coins outright. In this case you likely want to accumulate coins on a crash. Especially, when all the news outlets are talking about the end of Bitcoin and you see nice deep valleys on the chart. Certainly, under these conditions, the market will be well below the purple line. No margin so you can’t go short. Downward pyramids are enabled for Crypto mode when two conditions are met. First the Pyramiding value in the Properties tab must be non zero. Second the Pyramid Minimum Span in Section 1 must be non zero.
6. Range - This is a counter trend trading mode. Longs are entered below the purple trend line and shorts above. Useful when you want to test your webhook in a market where the trend line is bisecting the signal line series. Remember that this strategy is a trend follower. It’s going to get chopped out in a range bound market. By turning on the Range mode you will at least see profitable trades while stuck in the range. However, when the market eventually picks a direction, this mode will sustain losses. This range trading mode is a rudimentary implementation that will need a lot of improvement if you want to create a reliable switch hitter (trend/range combo).
7. No Trade. Useful when setting up the trend lines and the entry and exit is not important.
Once in the trade, long or short, the script tests the exit condition on every bar. If not a profitable exit then it checks if a pyramid is required. As mentioned earlier, the entry setups are quite primitive. Although they can easily be replaced by more sophisticated algorithms, what I really wanted to show is the diminished role of the position entry in the overall life of the trade. Professional traders spend much more time on the management of the trade beyond the market entry. While your trade entry is important, you can get in almost anywhere and still land a profitable exit.
If DCA is enabled, the size of the position will increase in response to consecutive losses. The number of times the position can increase is limited by the number set in Maximum DCA Increments of Section 1. Once the position breaks the losing streak the trade size will return the default quantity set in the Properties tab. It should be noted that the Initial Capital amount set in the Properties tab does not affect the simulation in the same way as a real account. In reality, running out of money will certainly halt trading. In fact, your account would be frozen long before the last penny was committed to a trade. On the other hand, TradingView will keep running the simulation until the current bar even if your funds have been technically depleted.
Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that the endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to.
Webhook Integration
The TradingView alerts dialog provides a way to connect your script to an external system which could actually execute your trade. This is a fantastic feature that enables you to separate the data feed and technical analysis from the execution and reporting systems. Using this feature it is possible to create a fully automated trading system entirely on the cloud. Of course, there is some work to get it all going in a reliable fashion. Being a strategy type script place holders such as {{strategy.position_size}} can be embedded in the alert message text. There are more than 10 variables which can write internal script values into the message for delivery to the specified endpoint.
Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that my endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to.
Here is an excerpt of the fields I use in my webhook signal:
"broker_id": "kraken",
"account_id": "XXX XXXX XXXX XXXX",
"symbol_id": "XMRUSD",
"action": "{{strategy.order.action}}",
"strategy": "{{strategy.order.id}}",
"lots": "{{strategy.order.contracts}}",
"price": "{{strategy.order.price}}",
"comment": "{{strategy.order.alert_message}}",
"timestamp": "{{time}}"
Though TradingView does a great job in dispatching your alert this feature does come with a few idiosyncrasies. Namely, a single transaction call in your script may cause multiple transmissions to the endpoint. If you are using placeholders each message describes part of the transaction sequence. A good example is closing a pyramid stack. Although the script makes a single strategy.close() call, the endpoint actually receives a close message for each pyramid trade. The broker, on the other hand, only requires a single close. The incongruity of this situation is exacerbated by the possibility of messages being received out of sequence. Depending on the type of order designated in the message, a close or a reversal. This could have a disastrous effect on your live account. This broker simulator has no idea what is actually going on at your real account. Its just doing the job of running the simulation and sending out the computed results. If your TradingView simulation falls out of alignment with the actual trading account lots of really bad things could happen. Like your script thinks your are currently long but the account is actually short. Reversals from this point forward will always be wrong with no one the wiser. Human intervention will be required to restore congruence. But how does anyone find out this is occurring? In closed systems engineering this is known as entropy. In practice your webhook logic should be robust enough to detect these conditions. Be generous with the placeholder usage and give the webhook code plenty of information to compare states. Both issuer and receiver. Don’t blindly commit incoming signals without verifying system integrity.
Setup
The following steps provide a very brief set of instructions that will get you started on your first configuration. After you’ve gone through the process a couple of times, you won’t need these anymore. It’s really a simple script after all. I have several example configurations that I used to create the performance charts shown. I can share them with you if you like. Of course, if you’ve modified the code then these steps are probably obsolete.
There are 47 inputs divided into seven sections. For the most part, the configuration process is designed to flow from top to bottom. Handy, tool tips are available on every field to help get you through the initial setup.
Step 1. Input the Base Currency and Order Size in the Properties tab. Set the Pyramiding value to zero.
Step 2. Select the Trading Mode you intend to test with from the drop down in Section 1. I usually select No Trade until I’ve setup all of the trend lines, profit and stop levels.
Step 3. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Remember that the profit is taken as a conditional exit not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached.
Step 4. Apply the appropriate value to the Tick Scalar field in Section 1. This value is used to remove the pipette from the price. You can enable the Summary Report in Section 7 to see the TradingView minimum tick size of the current chart.
Step 5. Apply the appropriate Price Normalizer value in Section 1. This value is used to normalize the instrument price for differential calculations. Basically, we want to increase the magnitude to significant digits to make the numbers more meaningful in comparisons. Though I have used many normalization techniques, I have always found this method to provide a simple and lightweight solution for less demanding applications. Most of the time the default value will be sufficient. The Tick Scalar and Price Normalizer value work together within a single calculation so changing either will affect all delta result values.
Step 6. Turn on the trend line plots in Section 7. Then configure Section 2. Try to get the plots to show you what’s really happening not what you want to happen. The most important is the purple trend line. Select an interval and length that seem to identify where prices tend to go during non-consolidation periods. Remember that a natural exit is when the blue crosses the green line.
Step 7. Enable Show Event Regions in Section 7. Then adjust Section 6. Blue background fills are spikes and red fills are plunging prices. These measurements should be hard to come by so you should see relatively few fills on the chart if you’ve set this up as intended. Section 6 includes the Zscore oscillator the state of which combines with the signal lines to detect statistically significant price movement. The Zscore is a zero based calculation with positive and negative magnitude readings. You want to input a reasonably large number slightly below the maximum amplitude seen on the chart. Both rise and fall inputs are entered as a positive real number. You can easily use my code to create a separate indicator if you want to see it in action. The default value is sufficient for most configurations.
Step 8. Turn off Show Event Regions and enable Show Entry Regions in Section 7. Then adjust Section 3. This section contains two parts. The entry setup crossovers and EMA events. Adjust the crossovers first. That is the Fast Cross Length and Slow Cross Length. The frequency of your trades will be shown as blue and red fills. There should be a lot. Then turn off Show Event Regions and enable Display EMA Peaks. Adjust all the fields that have the word EMA. This is actually the yellow line on the chart. The blue and red fills should show much less than the crossovers but more than event fills shown in Step 7.
Step 9. Change the Trading Mode to BiDir if you selected No Trades previously. Look on the chart and see where the trades are occurring. Make adjustments to the Minimum Profit and Stop Offset in Section 1 if necessary. Wider profits and stops reduce the trade frequency.
Step 10. Go to Section 4 and 5 and make fine tuning adjustments to the long and short side.
Example Settings
To reproduce the performance shown on the chart please use the following configuration: (Bitcoin on the Kraken exchange)
1. Select XBTUSD Kraken as the chart symbol.
2. On the properties tab set the Order Size to: 0.01 Bitcoin
3. On the properties tab set the Pyramiding to: 12
4. In Section 1: Select “Crypto” for the Trading Model
5. In Section 1: Input 2000 for the Minimum Profit
6. In Section 1: Input 0 for the Stop Offset (No Stop)
7. In Section 1: Input 10 for the Tick Scalar
8. In Section 1: Input 1000 for the Price Normalizer
9. In Section 1: Input 2000 for the Pyramid Minimum Span
10. In Section 1: Check mark the Position Bale Out
11. In Section 2: Input 60 for the Signal Line Period
12. In Section 2: Input 1440 for the Trend Line Period
13. In Section 2: Input 5 for the Fast Alma Length
14. In Section 2: Input 22 for the Fast LinReg Length
15. In Section 2: Input 100 for the Slow LinReg Length
16. In Section 2: Input 90 for the Trend Line Length
17. In Section 2: Input 14 Stochastic Length
18. In Section 3: Input 9 Fast Cross Length
19. In Section 3: Input 24 Slow Cross Length
20. In Section 3: Input 8 Fast EMA Length
21. In Section 3: Input 10 Fast EMA Rise NetChg
22. In Section 3: Input 1 Fast EMA Rise ROC
23. In Section 3: Input 10 Fast EMA Fall NetChg
24. In Section 3: Input 1 Fast EMA Fall ROC
25. In Section 4: Check mark the Long Natural Exit
26. In Section 4: Check mark the Long Signal Exit
27. In Section 4: Check mark the Long Price Event Exit
28. In Section 4: Check mark the Long Stochastic Exit
29. In Section 5: Check mark the Short Natural Exit
30. In Section 5: Check mark the Short Signal Exit
31. In Section 5: Check mark the Short Price Event Exit
32. In Section 5: Check mark the Short Stochastic Exit
33. In Section 6: Input 120 Rise Event NetChg
34. In Section 6: Input 1 Rise Event ROC
35. In Section 6: Input 5 Min Above Zero ZScore
36. In Section 6: Input 120 Fall Event NetChg
37. In Section 6: Input 1 Fall Event ROC
38. In Section 6: Input 5 Min Below Zero ZScore
In this configuration we are trading in long only mode and have enabled downward pyramiding. The purple trend line is based on the day (1440) period. The length is set at 90 days so it’s going to take a while for the trend line to alter course should this symbol decide to node dive for a prolonged amount of time. Your trades will still go long under those circumstances. Since downward accumulation is enabled, your position size will grow on the way down.
The performance example is Bitcoin so we assume the trader is buying coins outright. That being the case we don’t need a stop since we will never receive a margin call. New buy signals will be generated when the price exceeds the magnitude and speed defined by the Event Net Change and Rate of Change.
Feel free to PM me with any questions related to this script. Thank you and happy trading!
CFTC RULE 4.41
These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
Intraday FOREX london scalperThis forex System is only for ECN Broker Account.
Pairs: Major with spread < 0.0001 (EUR/USD).
Setup:
Wait for the market to make to 60 minute from the open.
If the market is near the intraday high be prepared to go short
If the market is near an intraday low for the same time period, then be prepared to go long.
Rules for entry
For sell setups: Enter on sell stop 1 pip from low of the last 15 min bar.
For buy setups: Enter in buy stop 1 pip from high of the last 15-minute bars.
Rules for exit
Take profit: Close out positions on 6 pips profit..
Stop Loss: Close out on 5 pips loss or if trade takes more than 1 minute.
St_cumulativeI decided to publish one of my "old" indicators on market sentiment, with possible reversal points. The indicator has 1 parameter-the period. It is based on the fact that the average between the maximum and minimum for the period is displayed, and then the difference between the average line and the maximum of the candle or the minimum (depending on the color of the candle) accumulates. If the indicator is in the positive zone and is colored green, then the trend is up, if it is in the positive zone, but white, then the upward trend may be completed, similarly with a fall, in the negative zone and red is a falling trend, in the negative zone and white-the fall may be completed. It is better to take periods to bind to natural periods If the schedule is 1 minute, then take a period of 60-equal to an hour, if the hour is 24 (day), if the day is 7 (week) or 30 (month)
Out Of The Boxthis study is designed to help user to identify level of current price movement, the theory behind this study is fibonnaci levels without further price projection. the indicator default setting is 60 days (length) with 5 days of forwarded displacement, which convert into a quarter year approximately and 1 week of forwarded offset.
JS Bull/Bear PowerI created this Indicator for all chart lovers.
This Indicator measures the wick parts of candles and sum it up. Wick part of candle is a sign of strength that's why it measures the 60 bars of candles wick. then sum it up and converted it in percentage. The output is indicated in the last 10 candles. that's how simple this indicator is but very useful to analyze the strength of every candles.
The upper numbers is the bear power.
The lower numbers is the bull power.
Happy Trading
Ticker SummaryTicker Summary provides at-a-glance summary information about a ticker near the current bar on the chart:
P/E ratio
Fwd P/E ratio
PEG ratio
Floating shares vs. total shares outstanding
% of trading volume that was short over the last 3 days
Average True Range (ATR) over last 14 days
There are a few less common items of information:
How many ATR multiples the ATR is extended over the last 10 bars. This gives an idea of how far the stock is currently extended.
"R-frequency", explained below.
An optional "ATR Reticule" is shown near the price. This is useful for traders that use ATR as a guideline for price targets and stop losses. On the left is the # of ATRs the stock is currently above the session open. On the right is the # of ATRs the stock is extended above the 10-bar moving average.
R-frequency: a measure of liquidity relevant to your own trading size. It is the frequency at which 1-R of your trading account is traded for a stock. Formula:
(1-R worth of shares) / (average dollar value traded per second), where:
"1-R worth of shares" is how many shares you would buy for a stop loss of -1 ATR, with max risk dollar value based on the Balance and Max Risk % indicator options.
"Average dollar value traded per second" is the 14-day average of (avg(high, low and close) * daily volume)
R-frequency of a second or less is very liquid. If the value is higher (for example, over 60 seconds) the stock is less liquid and you may have some trouble filling limit orders quickly.
Time Segmented Volume BandsTime Segmented Volume Bands
This time I took as a basis TSV - Time Segmented Volume, a rather rare one, almost never mentioned on TradingView.
TSV is a leading indicator because its movement is based on both the movement of the stock price and its volume. Ideal entry and exit points are usually found when a stock moves through a baseline. This indicator is similar to the more well-known balance volume (OBV) because it measures the amount of money flowing in or out of a particular stock.
What is their main difference between TSV and OBV?
Time Segmented Volume is used to eliminate distortions of the standard volume graph. OBV is based on cumulative total volume, while TSV compares the current time period with the previous one, without a subtotal.
What I added on my own script
Bands, similar to Bollinger. The main idea is to have an idea of the average inflow and outflow of volumes from / to shares for a particular period. We have an opportunity to estimate how much the current volumes differ from the average for 60 days (all values can be flexibly adjusted).
Excess markers by the current average volume (sensitivity can be adjusted separately).
A table that calculates the total sentiment (force) of volume on average for N periods in comparison with the current one.
Sell/buy markers
How to read a TSV graph
The main graph is a histogram. Green bars mean an inflow of volume, red bars mean an outflow. When the red volume crosses the baseline zero, it is considered a buy signal (in the classic TSV version). A similar sell signal - just the opposite. I highlight them with a colored background fill.
It is especially important to find divergences on the chart. For example, when the volume peaks getting lower but the price rises (short).
The yellow line is the average TSV for 7 periods. Just a smoother lagging line.
Blue stripes. Above - the average inflow of volumes over N periods (44 days). Below - the average outflow.
Markers are additional buy / sell signals generated when the current TSV value exceeds the average for N periods. In the script settings, you can choose how many percent deviations from the average should occur in order to count it as a strong signal (by default, an excess of 180% for selling, 100% for buying). The main idea of the marker is to catch a better price than with the standard TSV logic (take at the intersection of the zero line). The marker can serve as both an assistant and drive into a trap. If you are not very confident, then it is better to adhere to standard practice, and set the excess of markers to completely abnormal situations, so that it triggers less often.
Colored background - a classic buy or sell zone (when crossing the TSV baseline).
Table - you can configure its presence and size in the settings. On it you can estimate the sentiment of the movement of money for the last N periods. Pay particular attention to the % value in parentheses. It shows the strength of the trend in volumes over N periods.
The basic rule, as with any trend indicator: do not trade against the trend. A sell signal in a constantly rising channel is not a short signal. This is a signal for a possible fixation of a part of the position. No more.
How do I use this indicator?
For starters, I never make decisions purely based on an indicator. TSV plays the role of a clearer visualization of volumes for me. If I see that the volumes are fading away (thin market), then I try not to enter the trade. For the last two weeks, while picking charts, I completely abandoned standard volume bars in favor of TSV due to it's greater informative.
Delayed RSI StrategyThis strategy uses a 21 period RSI with an overbought (RSI indicator
is greater than) level of 60 (user defined) to determines long entries and an oversold
(RSI indicator is less than) level of 40 (user defined) for shorts. It introduces a bar delay that starts
counting when the RSI < Oversold or RSI > Overbought conditions are true, delaying the entry with
the amount of bars determined by the user. The trading logic can be reversed, which seems to work better.
Strat Assistant FTC 2.0Strat Assistant FTC Only
----------------------------
█ OVERVIEW
This script is intended to provide full time frame continuity information for almost all time frames (3, 5, 15, 30, 60, 4H, Day, Week, Month, Quarter, Year)
When added, the script provides a visual indicator/table to the bottom right of the screen to view the different performance at each time frame.
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Output
Time Frames: 3min, 5min, 15min, 30min, 60min, 4 Hour, Day, Week, Month Quarter, Year
Time Frame Labels: 3, 5, 15, 30, H, 4H, D, W, M, Q, Y
Colors: Will display the colors in RED if it's a down time frame (close/current < prior close) or a GREEN if it's a up time frame (close/current > prior close), the color will be more opaque/the opacity will increase the stronger it's levels are for the time frame.
Percentage: The percentages will also display, to give you a quick visual indicator or how strong a time frame is one way or the other.
Best Practices
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Had to decouple this from the other scripts because TV limits how much you can plot/show
May be a little slow at times, analyzing a lot of time periods/data be patient.
Used to indicate who is in control, buyers or sellers.
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.
Renko chartThis script displays the renko chart of the candlesticks chart
The color of the chart is green (red) if the trend is up (down).
The following settings are available:
Renko parameters:
Style = Box Size Assignment Method: 'ATR', 'Traditional'.
Parameter = ATR Length if `Style` is equal to 'ATR', or Box Size if `style` is equal to 'Traditional'.
Timeframe parameters:
Period = Resolution, e.g. 'm' - minutes, 'D' - daily, 'W' - weekly, 'M' - monthly, or same as chart
Multiplier = Multiplier of resolution, e.g. '60' - 60m if Period is 'm'
Alerts are also provided, to catch these conditions:
trend change = up to down or viceversa
bullish reversal = down to up
bearish reversal = up to down
5MA_X_LThis is a 5 day moving average crossing long strategy in 10 min. chart, used in short term momentum trading strategy.
Momentum trading Strategy: When S&P 500 index is at up trend (or above 60 sma ), buy 10+ stocks in top 20% stock RS ranking at equal weight using this MA5X_L strategy. Change stocks when any stock exited by algorithm.
Back test start since 2020/7/1, each long entry for condition 1 is $30000, condition 2 is $20000, with max of 2 long positions.
Setup: 10 minutes chart
Buy condition 1) 3 wma cross up 195 wma (5day) 2) 3wma > 78wma > 195wma UP Trend Arrangement (UTA)
Exit condition 1) 3 wma cross under 195 wma 2) position profit > 20% and 3 wma cross under 6 ATRs line (green)
Anas center line the center line is taken from one method if spliting the screen in two haves , if the price comes to the upper half its up , if going to lower half its sell , I add to make ne lower low and to confirm the direction .
I recomminded to but the same time period of the time frame .
1 min frame = 60
1 hour frame = 24
1 month == 22 (working day candles )
and test for best result .
[blackcat] L1 Jon Andersen R-Squared IndicatorLevel: 1
Background
The R-Squared indicator created by Jon Andersen in "Standard error bands" in the September 1996 STOCKS & COMMODITIES .
Function
This script fristly creates the coeffR function which is used to produced the R-Squared indicator. The coeffR function is used to calculate the correlation coefficient R. Once I have created and verified the coeffR function, the R-Sqaured indicator can be built easily.
Key Signal
AvgSqrR --> Smoothed R-Squared Oscillator Output.
Labels and alerts are added.
Remarks
Feedbacks are appreciated.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
[blackcat] L1 Jon Andersen Standard Error BandsLevel: 1
Background
The standard error bands created by Jon Andersen in "Standard error bands" in the September 1996 STOCKS & COMMODITIES.
Function
This script calculates the beta and alpha coefficients of the linear regression. First, it creates the calcB and calcA functions, which refer to the beta and alpha coefficients. Create calcB first, then calcA. These functions are used in calculating the regression coefficients for the standard error bands. In This standard error bands indicator, the "Length" value specifies the period of the linear regression line; the default is 21. The SDeg value specifies the smoothing factor that is used to smooth the linear regression and standard error bands; the default is 3.
Key Signal
LinRegS --> standard error bands center line
LinRegS + SErr --> standard error bands upper line
LinRegS - SErr --> standard error bands lower line
Labels and alerts are added.
Remarks
Feedbacks are appreciated.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
[blackcat] L1 Enhanced DMILevel: 1
Background
The Directional Movement Index (DMI) is an indicator developed by J. Welles Wilder in 1978 that shows the direction in which the price of an asset is moving. The indicator does this by comparing previous highs and lows and drawing two lines: a positive directional movement line (+ DI) and a negative directional movement line (-DI). An optional third line, called the Average Directional Index (ADX), can also be used to measure the strength of the upward or downward trend.
When + DI is above -DI there is more upward pressure than downward pressure in price. Conversely, when -DI is above + DI, there is more downward pressure on the price. This indicator can help traders estimate the direction of the trend. Crossovers between the lines are also sometimes used as trading signals to buy or sell.
Function
This is a blackcat1402 enhanced DMI indicator by counting period number of +DI and -DI relationship, overbought and oversold states are given.
Key Signal
White line --> +DI
Yellow line --> -DI
Fuchsia line --> ADX
Green line --> ADXR, or averaged ADX
red OB label --> overbought
green OS label --> oversold
Remarks
Feedbacks are appreciated.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Stochastic RSI - DurbtradeDurbtrade Stoch RSI -
1) Stoch RSI
A) The K line can be customized to change color based on vertical direction.
B) The space between K line and D line can be filled with a color depending on whether K line is above or below the D line.
C) There are color-coded, cross-over and cross-under background fills, to signal when the K line crosses the D line.
D) K line is drawn in front of D line (D line is drawn behind K line).
E) Default values : K = 3, D = 4, RSI Length = 14, Stoch Length = 14
2) Horizontal Lines
A) Horizontal lines can be drawn automatically, so you don't have to draw them, and they don't extend past the current bar.
B) There are 11 customizable horizontal lines,
and each line is set to non-customizable increments (zero, 10, 20, 30, 40, fifty, 60, 70, 80, 90, hundred).
C) The 11 lines are divided into 2 groups:
a) 4 PAIRS of lines WITH fill options (10/90, 20/80, 30/70, 40/60... 8 lines total), and
b) 3 INDIVIDUAL lines WITHOUT fill options (zero, fifty, hundred).
D) The 4 fills give you the option to fill the space between each pair with a customizable color and opacity,
regardless of whether the lines themselves are drawn or not.
(all default values are what I feel work best for this indicator...
and initially, only the zero, fifty, and hundred lines are drawn automatically .
You may add the other lines if you choose to, by adjusting the opacity to your liking).
3) Conclusion
A) As with my previous indicators, this one maximizes information, color, discernment, clarity, and customization.
B) It is optimized for your ability to be able to easily customize the indicator according to your preferences...
for use on your own personal television, laptop, or cellular phone screen setup... and on all chart zoom levels and layouts.
C) Please feel free to comment your thoughts, critiques, or suggestions. They are all helpful!
D) Check out my previous pine script indicators if you like this one. They work really well together.
E) I hope that you find this script useful.
F) Enjoy!
//Durbtrade
Fib DragonsCreates bands based on Fibonacci golden ratio numbers and EMA w/ATR
This allows for a faster reaction and significantly less lag than SMA w/ATR
EMA is set to 34 - Recommend range by taste 21, 34, 55, 62
ART is set to 13 - Recommend 13 or 21
Fib Bands are set to 1.618, 2.618, 3.618 however you can set to what works for you. I recommend keeping them at the golden ratios.
Based on indicator by rstraat
How to trade - Same rules apply
- Best to use in ranging market conditions
- Place on two different time frames such as the 15 min. and 60 min for intraday trading
- Take trades off either short or long term chart.
- Best trades occur when both charts show same trigger/condition.
- Trades are short term reversals in direction of major trend on longer term chart unless you expect a trend reversal.
- Determine which band is the limiting band for the volatility of the instrument.
- When the market closes outside of the limiting band then returns inside, take a long/short one tick above/below the high/low of the previous bar.
- Place stop below/above the low/high of the the recent swing low/high.
- Set targets at opposite band of chart
Use any oscillator you favor or see fit with this indicator or any other strategies that work for you.
[EURUSD60] BB Expansion StrategyOverview
This is a strategy that can be used in the EURUSD 60 time frame.
It is a trend-following method that uses Bollinger Bands Expansions.
The idea of using Bollinger Bands expansion is well known to the general public, but I don’t know any strategy that this idea has been PINE coded.
The three main components of this strategy are as follows.
・Long term BB and Short term BB : When the short term BB expands more than the long term BB, it suggests the occurrence of a trend.
・14EMA of 240 t/f : The direction of 14EMA of the upper time frame is used as the trend direction.
・ATR lines : As a stop-loss line and a take-profit line.
Description
Fig. Long entry pattern
Fig. Short entry pattern
・Description of lines
Gray : Large BB (=Long term BB)
White : Small BB (=Short term BB)
Blue or Red line : Upper t/f EMA(default: 14EMA), blue is up-trend, red is down-trend
Yellow : Stop loss line by ATR(the term is 14)
Purple : Take profit line by ATR(the term is 14)
・Description of strategy
First of all, when the small BB expands more than the large BB, this strategy detects the occurrence of a trend.
Second, When the price crosses over or crosses under small BB basis, this strategy entries long or short to trend direction (by upper time frame 14EMA).
The default stop-loss range is three times ATR value, and the default take-profit target is 1.5 times the stop-loss range (=risk reward ratio is 1.5).
[blackcat] L1 Vitali Apirine Rate Of Change With BandsLevel: 1
Background
Vitali Apirine introuced this RoC indicator of “Rate Of Change With Bands” on March 2021.
Function
In Vitali Apirine's article “Rate Of Change With Bands” , the author introduces a concept of identifying overbought and oversold levels based on calculating standard deviation bands of the rate of change (ROC) momentum oscillator. The rate of change bands widen and narrow as the ROC deviation increases and decreases. The author proposes using this indicator in conjunction with other technical analysis methods to determine if the instrument is overbought or oversold.
Key Signal
UpperBand --> overbought threshold
oMARoc --> Output RoC Moving Average
LowerBand --> oversold threshold
Labels
L --> Long
S --> Short
XL --> Close Long
XS --> Close Short
Pros and Cons
100% Vitali Apirine definition translation, even variable names are the same. This help readers who would like to use pine to read his article.
Remarks
The 1st script for Blackcat1402 Vitali Apirine series publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
[blackcat] L1 Ehlers FM DemodulatorLevel: 1
Background
John F. Ehlers introuced FM demodulator of "A Technical Description Of Market Data For Traders" on TASC MAY 2021
Function
John Ehlers introduces the use of FM modulation to determine the cycles of market data. The author also proposes that noise in market data does not necessarily mean chaos and that pink noise in the data implies memory in the data. According to the author, peaks and valleys of the FM demodulator indicator that he presents in the article can be correlated with major swings of the price. The FM demodulator indicator (FMD) ranges from -1.0 to 1.0. There is a natural delay in the detection of peaks and troughs, as we need to wait while the indicator has moved by a certain amount. The example system buys as soon as a new higher trough has been confirmed.
Key Signal
SS --> FM Demodulator ouput
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 103rd script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Slow Stochastic MultiFrame - AFPThis script enables you to use 9 slow stochastic with timeframe 5, 10, 14, 20, 40, 60, 80, 100, 120; on purposes to see from longterm and short term condition of a stock.
