Stochastic Reversal v1.0.0Stochastic Reversal v1.0.0
Description:
The "Stochastic Reversal" is an innovative Pine Script indicator engineered for busy professionals and businesses who want to quickly identify potential trend reversals with a high degree of confidence. This tool leverages a sophisticated analysis of the Stochastic Oscillator to provide clear, actionable signals that anticipate market turning points.
Instead of relying on the default settings and typical overbought/oversold levels, this indicator uses an optimized algorithm to:
Pinpoint reversals with precision : It goes beyond simple crossovers to identify confirmed reversal signals, helping you to enter trades at the most opportune moments.
Filter out false signals : It is designed to work effectively even in trending markets, reducing the number of false signals that plague standard Stochastic strategies.
Save valuable time : By automating the detection of these complex reversal patterns, the "Stochastic Reversal" allows you to efficiently scan for setups and make informed decisions without constant manual analysis.
This tool is a crucial component for any trader who wants to trade with the trend and capitalize on market turns, all while gaining a significant edge in their analysis.
Disclaimer:
This indicator is for educational and informational purposes only. It should not be considered financial advice. The use of this tool for live trading is at your own risk. Past performance is not an indicator of future results. Always conduct your own thorough research and analysis before making any trading decisions.
Pinescript
Bollinger Squeeze Momentum v1.0.0Bollinger Squeeze Momentum v1.0.0
Description:
The " Bollinger Squeeze Momentum " is an advanced Pine Script indicator designed for busy professionals and businesses seeking to identify high-volatility breakouts before they occur. This tool focuses on a key market dynamic: the "Bollinger Squeeze," a period of low volatility that often precedes a strong directional move.
Instead of just showing the squeeze, this tool automates the process of identifying the shift in momentum at the precise moment the squeeze ends. This allows you to:
Anticipate significant breakouts : It provides clear signals on your chart when market energy is building and a move is imminent.
Filter out quiet markets : It helps you avoid choppy, low-volatility conditions and focus your attention on opportunities with a high potential for profit.
Save time on analysis : By automating the detection of this powerful pattern, the "Bollinger Squeeze Momentum" allows you to efficiently scan for setups and make informed decisions.
This tool is a critical addition for any trader who wants to capitalize on explosive price movements and trade with confidence.
Disclaimer:
This indicator is for educational and informational purposes only. It should not be considered financial advice. The use of this tool for live trading is at your own risk. Past performance is not an indicator of future results. Always conduct your own thorough research and analysis before making any trading decisions.
RSI Divergence Hunter v1.0.0RSI Divergence Hunter v1.0.0
Description:
The "RSI Divergence Hunter" is an essential Pine Script tool built for busy professionals and businesses who want to uncover hidden market opportunities without continuous monitoring. This indicator automatically detects and plots both bullish and bearish RSI divergences, a powerful signal that often precedes significant trend reversals.
Manual detection of divergence is a time-consuming and subjective process. Our tool eliminates this guesswork by:
Automatically finding divergences: It scans the price action and the RSI indicator in real-time to identify potential trading opportunities for you.
Providing clear visual signals: The indicator plots lines directly on your chart, highlighting where a divergence has occurred.
Saving you time: Instead of manually scanning charts for hours, you can receive alerts and focus on what matters most—making confident, data-backed decisions.
This tool is perfect for those who understand the value of a professional-grade analysis but lack the time for manual execution. It's a key component for any strategy focused on trading momentum shifts and trend reversals.
Disclaimer:
This indicator is for educational and informational purposes only. It should not be considered financial advice. The use of this tool for live trading is at your own risk. Past performance is not an indicator of future results. Always conduct your own thorough research and analysis before making any trading decisions.
Triple Momentum Convergence v1.0.0The "Triple Momentum Convergence" indicator is a powerful Pine Script tool designed to help you pinpoint high-probability trading setups by combining the signals of three distinct momentum indicators. This unique strategy is built on the principle that when multiple, independent momentum sources align, the likelihood of a strong directional move increases significantly.
This indicator uses a proprietary algorithm to analyze:
Short-Term Momentum : Capturing swift movements for rapid entries and exits.
Medium-Term Momentum : Identifying a sustained trend in motion.
Long-Term Momentum : Confirming the overall market direction.
The indicator plots clear signals on your chart when all three momentum phases converge, providing a high-conviction entry point. It's an ideal tool for traders who want to filter out false signals and trade with more confidence, focusing on moments when the market is in strong agreement.
Volume Block Order AnalyzerCore Concept
The Volume Block Order Analyzer is a sophisticated Pine Script strategy designed to detect and analyze institutional money flow through large block trades. It identifies unusually high volume candles and evaluates their directional bias to provide clear visual signals of potential market movements.
How It Works: The Mathematical Model
1. Volume Anomaly Detection
The strategy first identifies "block trades" using a statistical approach:
```
avgVolume = ta.sma(volume, lookbackPeriod)
isHighVolume = volume > avgVolume * volumeThreshold
```
This means a candle must have volume exceeding the recent average by a user-defined multiplier (default 2.0x) to be considered a significant block trade.
2. Directional Impact Calculation
For each block trade identified, its price action determines direction:
- Bullish candle (close > open): Positive impact
- Bearish candle (close < open): Negative impact
The magnitude of impact is proportional to the volume size:
```
volumeWeight = volume / avgVolume // How many times larger than average
blockImpact = (isBullish ? 1.0 : -1.0) * (volumeWeight / 10)
```
This creates a normalized impact score typically ranging from -1.0 to 1.0, scaled by dividing by 10 to prevent excessive values.
3. Cumulative Impact with Time Decay
The key innovation is the cumulative impact calculation with decay:
```
cumulativeImpact := cumulativeImpact * impactDecay + blockImpact
```
This mathematical model has important properties:
- Recent block trades have stronger influence than older ones
- Impact gradually "fades" at rate determined by decay factor (default 0.95)
- Sustained directional pressure accumulates over time
- Opposing pressure gradually counteracts previous momentum
Trading Logic
Signal Generation
The strategy generates trading signals based on momentum shifts in institutional order flow:
1. Long Entry Signal: When cumulative impact crosses from negative to positive
```
if ta.crossover(cumulativeImpact, 0)
strategy.entry("Long", strategy.long)
```
*Logic: Institutional buying pressure has overcome selling pressure, indicating potential upward movement*
2. Short Entry Signal: When cumulative impact crosses from positive to negative
```
if ta.crossunder(cumulativeImpact, 0)
strategy.entry("Short", strategy.short)
```
*Logic: Institutional selling pressure has overcome buying pressure, indicating potential downward movement*
3. Exit Logic: Positions are closed when the cumulative impact moves against the position
```
if cumulativeImpact < 0
strategy.close("Long")
```
*Logic: The original signal is no longer valid as institutional flow has reversed*
Visual Interpretation System
The strategy employs multiple visualization techniques:
1. Color Gradient Bar System:
- Deep green: Strong buying pressure (impact > 0.5)
- Light green: Moderate buying pressure (0.1 < impact ≤ 0.5)
- Yellow-green: Mild buying pressure (0 < impact ≤ 0.1)
- Yellow: Neutral (impact = 0)
- Yellow-orange: Mild selling pressure (-0.1 < impact ≤ 0)
- Orange: Moderate selling pressure (-0.5 < impact ≤ -0.1)
- Red: Strong selling pressure (impact ≤ -0.5)
2. Dynamic Impact Line:
- Plots the cumulative impact as a line
- Line color shifts with impact value
- Line movement shows momentum and trend strength
3. Block Trade Labels:
- Marks significant block trades directly on the chart
- Shows direction and volume amount
- Helps identify key moments of institutional activity
4. Information Dashboard:
- Current impact value and signal direction
- Average volume benchmark
- Count of significant block trades
- Min/Max impact range
Benefits and Use Cases
This strategy provides several advantages:
1. Institutional Flow Detection: Identifies where large players are positioning themselves
2. Early Trend Identification: Often detects institutional accumulation/distribution before major price movements
3. Market Context Enhancement: Provides deeper insight than simple price action alone
4. Objective Decision Framework: Quantifies what might otherwise be subjective observations
5. Adaptive to Market Conditions: Works across different timeframes and instruments by using relative volume rather than absolute thresholds
Customization Options
The strategy allows users to fine-tune its behavior:
- Volume Threshold: How unusual a volume spike must be to qualify
- Lookback Period: How far back to measure average volume
- Impact Decay Factor: How quickly older trades lose influence
- Visual Settings: Labels and line width customization
This sophisticated yet intuitive strategy provides traders with a window into institutional activity, helping identify potential trend changes before they become obvious in price action alone.
FreedX Grid Backtest█ FreedX Grid Backtest is an open-source tool that offers accurate GRID calculations for GRID trading strategies. This advanced tool allows users to backtest GRID trading parameters with precision, accurately reflecting exchange functionalities. We are committed to enhancing trading strategies through precise backtesting solutions and address the issue of unreliable backtesting practices observed on GRID trading strategies. FreedX Grid Backtest is designed for optimal calculation speed and plotting efficiency, ensuring users to achieve fastest calculations during their analysis.
█ GRID TRADING STRATEGY SETTINGS
The core of the FreedX Grid Backtest tool lies in its ability to simulate grid trading strategies. Grid trading involves placing orders at regular intervals within a predefined price range, creating a grid of orders that capitalize on market volatility.
Features:
⚙️ Backtest Range:
→ Purpose: Allows users to specify the backtesting range of GRID strategy. Closes all positions at the end of this range.
→ How to Use: Drag the dates to fit the desired backtesting range.
⚙️ Investment & Compounding:
→ Purpose: Allows users to specify the total investment amount and select between fixed and compound investment strategies. Compounding adjusts trade quantities based on performance, enhancing the grid strategy's adaptability to market changes.
→ How to Use: Set the desired investment amount and choose between "Fixed" or "Compound" for the investment method.
⚙️ Leverage & Grid Levels:
→ Purpose: Leverage amplifies the investment amount, increasing potential returns (and risks). Users can define the number of grid levels, which determines how the investment is distributed across the grid.
→ How to Use: Input the desired leverage and number of grids. The tool automatically calculates the distribution of funds across each grid level.
⚙️ Distribution Type & Mode:
→ Purpose: Users can select the distribution type (Arithmetic or Geometric) to set how grid levels are determined. The mode (Neutral, Long, Short) dictates the direction of trades within the grid.
→ How to Use: Choose the distribution type and mode based on the desired trading strategy and market outlook.
⚙️ Enable LONG/SHORT Grids exclusively:
█ MANUAL LEVELS AND STOP TRIGGERS
Beyond automated settings, the tool offers manual adjustments for traders seeking finer control over their grid strategies.
Features:
⚙️ Manual Level Adjustment:
→ Purpose: Enables traders to manually set the top, reference, and bottom levels of the grid, offering precision control over the trading range.
→ How to Use: Activate manual levels and adjust the top, reference, and bottom levels as needed to define the grid's scope.
⚙️ Stop Triggers:
→ Purpose: Provides an option to set upper and lower price limits, acting as stop triggers to close or terminate trades. This feature safeguards investments against significant market movements outside the anticipated range.
→ How to Use: Enable stop triggers and specify the upper and lower limits. The tool will automatically manage positions based on these parameters.
---
This guide gives you a quick and clear overview of the FreedX Grid Backtest tool, explaining how you can use this cutting-edge tool to improve your trading strategies.
Hobbiecode - RSI + Close previous dayThis is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules:
1. If RSI(2) is less than 15, then enter at the close.
2. Exit on close if today’s close is higher than yesterday’s high.
If you backtest it on Mini Futures SP500 you will be able to track data from 1993. It is important to select D1 as timeframe.
Please share any comment or idea below.
Have a good trading,
Ramón.
Hobbiecode - Five Day Low RSI StrategyThis is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules:
1. If today’s close is below yesterday’s five-day low, go long at the close.
2. Sell at the close when the two-day RSI closes above 50.
3. There is a time stop of five days if the sell criterium is not triggered.
If you backtest it on Mini Futures SP500 you will be able to track data from 1993. It is important to select D1 as timeframe.
Please share any comment or idea below.
Have a good trading,
Ramón.
Hobbiecode - SP500 IBS + HigherThis is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules:
1. Today is Monday.
2. The close must be lower than the close on Friday.
3. The IBS must be below 0.5.
4. If 1-3 are true, then enter at the close.
5. Sell 5 trading days later (at the close).
If you backtest it on Mini Futures SP500 you will be able to track data from 1993. It is important to select D1 as timeframe.
Please share any comment or idea below.
Have a good trading,
Ramón.
Combined Strategy Trading Bot (RSI ADX 20SMA)Trading Bot V1, This code implements a combined trading strategy that uses several indicators and strategies to make buy and sell decisions in the market. The code is written in Pine Script™, which is a programming language used in the TradingView platform. By BraelonWhitfield.Eth
The strategy uses the Average Directional Movement Index (ADX) and the Pine SuperTrend indicator to identify trends and price movements in the market. The SuperTrend indicator is a popular technical analysis tool that helps to identify the direction of the current trend and provides entry and exit points for trades.
The strategy also uses the Relative Strength Index (RSI) to identify overbought and oversold conditions in the market. The RSI is a momentum indicator that measures the speed and change of price movements in the market.
The first part of the code defines the inputs for the ADX and DI Length, which are used to calculate the ADX and DI values. The dirmov() function is used to calculate the positive and negative directional indicators (plusDM and minusDM) based on the high and low prices. The truerange variable is then calculated using the True Range (TR) formula. Finally, the plus and minus variables are calculated using the smoothed moving average of the plusDM and minusDM values.
The adx() function is then used to calculate the ADX values based on the plus and minus variables. The Pine SuperTrend indicator is defined using the pine_supertrend() function. This function uses the high-low average (hl2) and the Average True Range (ATR) to calculate the upper and lower bands for the indicator. The direction of the current trend is then determined based on whether the current price is above or below the upper or lower bands.
The RSI values are then calculated using the ta.rsi() function, with the inputs for the close price and the RSI period. The overbought and oversold conditions are defined using the OB and OS inputs, which specify the threshold values for the RSI. The upTrend and downTrend variables are defined based on the direction of the Pine SuperTrend indicator.
The next part of the code defines the 20-period Simple Moving Average (SMA) using the ta.sma() function. The os and ob variables are then calculated based on the RSI values and the OB and OS inputs. The strategy.entry() function is used to define the buy and sell orders based on the upTrend and downTrend variables, as well as the Pine SuperTrend indicator, the 20-period SMA, and the os variable.
The final part of the code defines the Channel Breakout Strategy using the ta.highest() and ta.lowest() functions to calculate the upper and lower bounds of the channel. The strategy.entry() function is then used to define the buy and sell orders based on whether the current price is above or below the upper or lower bounds.
In summary, this code implements a combined trading strategy that uses several indicators and strategies to make buy and sell decisions in the market. The strategy is designed to identify trends and price movements in the market, as well as overbought and oversold conditions, to provide entry and exit points for trades. The strategy uses the Pine SuperTrend indicator, the ADX and DI indicators, the RSI, and the 20-period SMA, as well as the Channel Breakout Strategy to make informed trading decisions.
Selected Dates Filter by @zeusbottradingWe are presenting you feature for strategies in Pine Script.
This function/pine script is about NOT opening trades on selected days. Real usage is for bank holidays or volatile days (PPI, CPI, Interest Rates etc.) in United States and United Kingdom from 2020 to 2030 (10 years of dates of bank holidays in mentioned countries above). Strategy is simple - SMA crossover of two lengts 14 and 28 with close source.
In pine script you can see we picked US and GB bank holidays. If you add this into your strategy, your bot will not open trades on those days. You must make it a rule or a condition. We use it as a rule in opening long/short trades.
You can also add some of your prefered dates, here is just example of our idea. If you want to add your preffered days you can find them on any site like forexfactory, myfxbook and so on. But don’t forget to add function “time_tradingday ! = YourChoosedDate” as it is writen lower in the pine script.
Sometimes the date is substituted for a different day, because the day of the holiday is on Saturday or Sunday.
Made with ❤️ for this community.
If you have any questions or suggestions, let us know.
The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold zeusbottrading TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script.
iMoku (Ichimoku Complete Tool) - The Quant Science iMoku™ is a professional all-in-one solution for the famous Ichimoku Kinko Hyo indicator.
The algorithm includes:
1. Backtesting spot
2. Visual tool
3. Auto-trading functions
With iMoku you can test four different strategies.
Strategy 1: Cross Tenkan Sen - Kijun Sen
A long position is opened with 100% of the invested capital ($1000) when "Tenkan Sen" crossover "Kijun Sen".
Closing the long position on the opposite condition.
There are 3 different strength signals for this strategy: weak, normal, strong.
Weak : the signal is weak when the condition is true and the price is above the 'Kumo'
Normal : the signal is normal when the condition is true and the price is within the 'Kumo'
Strong : the signal is strong when the condition is true and the price is below the 'Kumo'
Strategy 2: Cross Price - Kijun Sen
A long position is opened with 100% of the invested capital ($1000) when the price crossover the 'Kijun Sen'.
Closing the long position on the opposite condition.
There are 3 different strength signals for this strategy: weak, normal, strong.
Weak : the signal is weak when the condition is true and the price is above the 'Kumo'
Normal : the signal is normal when the condition is true and the price is inside the 'Kumo'
Strong : the signal is strong when the condition is true and the price is below the 'Kumo'
Strategy 3: Kumo Breakout
A long position is opened with 100% of the invested capital ($1000) when the price breakup the 'Kumo'.
Closing the long position with a percentage stop loss and take profit on the invested capital.
Strategy 4: Kumo Twist
A long position is opened with 100% of the invested capital ($1000) when the 'Kumo' goes from negative to positive (called "Twist").
Closing the long position on the opposite condition.
There are 2 different strength signals for this strategy: weak, and strong.
Weak : the signal is weak when the condition is true and the price is above the 'Kumo'
Strong : the signal is strong when the condition is true and the price is below the 'Kumo'
This script is compliant with algorithmic trading.
You can use this script with trading terminals such as 3Commas or CryptoHopper. Connecting this script is very easy.
1. Enter the user interface
2. Select and activate a strategy
3. Copy your bot's links into the dedicated fields
4. Create and activate alert
Disclaimer: algorithmic trading involves risk, the user should consider aspects such as slippage, liquidity and costs when evaluating an asset. The Quant Science is not responsible for any kind of damage resulting from use of this script. By using this script you take all the responsibilities and risks.
EMA Cross + Divergence strategy (Div. signals by The Divergent)A sample strategy demonstrating the usage of The Divergent divergence indicator and The Divergent Library .
The Divergent is an advanced divergence indicator which you can easily incorporate into your own strategies.
In order to use this strategy (and to use the signals in your own strategy), you need to have the Pro version of The Divergent applied to your chart.
For more information, please see the comments inlined in the code.
Simple Price MomentumSimple Price Momentum Strategy ( SPM )
The term momentum was borrowed from Newton’s first law of motion. The law states that where an object in motion tends to stay in motion until an external force is applied to it. Like in the law of physics, a market in motion tends to stay in motion rather than reverse. This is the reason why a momentum indicator strategy is so powerful.
My algorithm depends on two signals, an open and an exit.
Basically, while the Green shows earlier, the signal actually takes place at the end of the bar. Remember “close” source is the current price while the candle is still forming, because it can change its state it could create a situation where “A > B” and then change to “A < B”, so we don’t know which one is the final value until the bar officially ends. This is why the backtest engine opens a position in the bar after.
Why is it ok to backtest on TradingView from now on!TradingView backtester has bad reputation. For a good reason - it was producing wrong results, and it was clear at first sight how bad they were.
But this has changed. Along with many other improvements in its PineScript coding capabilities, TradingView fixed important bug, which was the main reason for miscalculations. TradingView didn't really speak out about this fix, so let me try :)
Have a look at this short code of a swing trading strategy (PLEASE DON'T FOCUS ON BACKTEST RESULTS ATTACHED HERE - THEY DO NOT MATTER). Sometimes entry condition happens together with closing condition for the already ongoing trade. Example: the condition to close Long entry is the same as a condition to enter Short. And when these two aligned, not only a Long was closed and Short was entered (as intended), but also a second Short was entered, too!!! What's even worse, that second short was not controlled with closing conditions inside strategy.exit() function and it very often lead to losses exceeding whatever was declared in "loss=" parameter. This could not have worked well...
But HOORAY!!! - it has been fixed and won't happen anymore. So together with other improvements - TradingView's backtester and PineScript is now ok to work with on standard candlesticks :)
Yep, no need to code strategies and backtest them on other platforms anymore.
----------------
Having said the above, there are still some pitfalls remaining, which you need to be aware of and avoid:
Don't backtest on HeikenAshi, Renko, Kagi candlesticks. They were not invented with backtesting in mind. There are still using wrong price levels for entries and therefore producing always too good backtesting results. Only standard candlesticks are reliable to backtest on.
Don't use Trailing Stop in your code. TradingView operates only on closed candlesticks, not on tick data and because of that, backtester will always assume price has first reached its favourable extreme (so 'high' when you are in Long trade and 'low' when you are in Short trade) before it starts to pull back. Which is rarely the truth in reality. Therefore strategies using Trailing Stop are also producing too good backtesting results. It is especially well visible on higher timeframe strategies - for some reason your strategy manages to make gains on those huge, fat candlesticks :) But that's not reality.
"when=" inside strategy.exit() does not work as you would intuitively expect. If you want to have logical condition to close your trade (for example - crossover(rsi(close,14),20)) you need to place it inside strategy.close() function. And leave StopLoss + TakeProfit conditions inside strategy.exit() function. Just as in attached code.
If you're working with pyramiding, add "process_orders_on_close=ANY" to your strategy() script header. Default setting ("=FIFO") will first close the trade, which was opened first, not the one which was hit by Stop-Loss condidtion.
----------------
That's it, I guess :) If you are noticing other issues with backtester and would like to share, let everyone know in comments. If the issue is indeed a bug, there is a chance TradingView dev team will hear your voice and take it into account when working on other improvements. Just like they heard about the bug I described above.
P.S. I know for a fact that more improvements in the backtesting area are coming. Some will change the game even for non-coding traders. If you want to be notified quickly and with my comment - gimme "follow".
Simple Price Momentum - How To Create A Simple Trading StrategyThis script was built using a logical approach to trading systems. All the details can be found in a step by step guide below. I hope you enjoy it. I am really glad to be part of this community. Thank you all. I hope you not only succeed on your trading career but also enjoy it.
docs.google.com
QuantCat Intraday Strategy (15M)QuantCat Intraday Strategy
This strategy is designed to be used on the 15 minute time frame, on liquid x/btc pairs and BTC/USD.
It works by having 2 moving averages, automatic stop loss calculation, and taking positions on MA crosses and MA zone bounces for confirmation.
Stoploss is so crucial to minimise any damage from huge unexpected candles, the strategies can just be used for entries as well, you don't have to stick to the exact formula- of the long and short system, but this by itself is profitable.
The system nets positive results on
-BTC/USD
-ETH/BTC
-LTC/BTC
-XRP/BTC
There is a small element of trend filtering also for the MA's, but I found adding it in actually hindered performance when testing and training the strategies unless it was using a loose value.
You can get live alerts for this strategy and speak to our developers by joining our server on discord! (Link in signature)
Dragon Bot - Default ScriptDragon Script is a framework to make it as easy as possible to test your own strategies and set alerts for external execution bots.
The script has many features build in, like:
1) A ping/pong mechanism between longs and shorts
2) A stop-loss
3) Trailing Stops with several ways to calculate them.
4) 2 different ways to flip from long to short.
The script is divided into several parts.
The first part of the script is used to set all the variables. You should normally never change the first part except for the comments at the top.
The second part of the script is the part where you initialise all your indicators. Several indicators can be found on Tradingview and on other sites. Please keep in mind that all the variable names used in the indicator should be unique. (all the … = … parts)
The third part of the script, is the most important part of the script. Here you can create the entry and exit points.
Let’s look at the OPENLONG function to explain this part: The first variables are all the possible entries; These are longentry1 till longentry5. You can add many more if you like.
The variables are all initialised as being false. This way the script can set a value to true if an entry happens.
The if function is the actual logic: You could say “if this is true” then (the line below the if function) longentry1 := (becomes) true.
In this case we have said: “if this is true” then (the line below the if function) longentry1 := (becomes) true when the current close is larger than the close that is 1 back.
The last part is the makelong_funct. This part says that if any of the entries are true, the whole function is true.
The last part of the script is the actual execution. Here the alerts are plotted and the back test strategies are opened and closed.
We hope you guys like it and all feedback is welcome!
Help Requested - "Time-Slot" Delay for Crossover StrategyHello Tradingview Community,
I've been playing around with some various volume-based indicators, and recently have been experiencing a delay in the entries for my strategy for 2 minutes in this scenario. If the time is adjusted, it also is delayed 2 bars.
In this example, the "Short" position should enter when the blue line Crosses under the upper green line, and visa vera for the "Long" position. A simplified Pine Script is available below as well.
I have Googled this issue and attempted to modify the code with => criteria instead, but too no avail. Would appreciate any help or anyone who could point me in the right direction on this Time Delay Issue. Thanks!
Script functionality test - work in progress (2RS + BB + MA)This is the first script I've written. Its sole purpose is to make me learn a bit of pine script. Its not intended to trade live.
Feel free to modify it if you wish and let me know if you do it. Also any comments are welcome!
Also i need help in two things:
1. Im unable to print the "in-strategy" rsi on chart
2. I want to ignore the first buy signal after each sell. I was looking to ad a counter to the signals but im unable to do it.
Any help will be greatly appreciated!
EMAcrossover_RSI Buy/sell signal-TRXBTC_15min by rajista EMAcrossover_RSI Buy/sell signal Strategy
To be used in combination with Alerts script, both can be added to your tradingview charts (Chart time-frame should be set to 15min) like you add any other simple indicator.
Add this script to your favorites and once you have been granted access, you will be notified in your Tradingview notifications section, then you can go ahead and add these two scripts into your charts from your favorite section of Indicator menu in Tradingview.
Benefits of this strategy:
1> Fully automated buy/sell signals 24x7
2>Your trades will always be based on a certain entry and exit plan.
3>No emotions involved with these trading calls, so no chance of FOMO buying/Panic Sell
4>You can fully customize the settings with a simple click(customization details given below)
5>Its completely free of cost!!!
There are two parts of this automated trading call system:
1>Strategy script- Gives the buy/sell signals based on the settings provided.
2>Alert script- Gives Alert notifications in tradingview when a buy/sell call is made.
Principle of working is very simple to understand:
Stragey script makes:
Buy call - When the 9EMA crosses above the 21EMA or RSI level-20 is reached in 15min-Chart.
Sell call -When 9EMA crosses below the 21EMA or RSI level-70 is reached in 15min-Chart.
Above values of EMA's and RSI are default values , which can be changed easily in settings panel of Strategy script.
Alert Script allows you to add Alerts when these buy/sell calls are made.
To create a Buy call alert:
1> Click on the create alert icon in your chart (top-centre)
2>Click on Condition -drop down button and select EMAcross_rsi_Alerts
3>Below that bar you will see another bar titled "Buy"-click on its drop down menu and select "Crossing Down"
4>Below that bar right next to Value change 0 to 0.9.
5>Set expiration date for your alerts as per your wish
6>Ensure "Show Popup" and "Play sound" is checked
7>You can check option of sending the alert to your email also.
Finally click on create.
To create Sell Alert:
Repeat same process, except that, after step 2- Do this- change the "long" option to "short" by clicking on the drop down menu right next to the first bar.
Click on create, Finally both of your automated buy/sell call alerts will be configured.
I know its been 2-3 days since i tweeted about this strategy and now i am making it available, you can understand i had to put in a lot of working hours, towards creating the source code for the strategy script and then for alerts script and even more so towards finding the perfect default settings which can be used straight away by anyone, even if you are new in crypto trading, apart from the time which i dedicate to analyse charts and pass on the knowledge/info to you all.
My next post will be even more helpful to you people as i am currently testing "fully automated trading" yea you heard that right!! - This system will trade 24x7 for you guys/girls no matter wherever you are either you are sleeping or watching a movie, your trades would still be getting executed with a proper entery-exit plan on a crypto exchange.
Volume & Intraday ScriptI am still learning pinescript, and part of this was created using the Pine Script language reference manual. This includes looking at the time series, a fixed length, and the default intraday_loss variables. This also includes the basic fixed lengths for an swma (Symmetrically weighted moving average) and the script to start creating a strategy. All in all this is just a basic sample of pinescript that you can customize for your trading needs. This can work with Cryptocurrency but these moving averages usually work more efficiently for forex.
