Liquid Pours XtremeStrategy Description: Liquid Pours Xtreme
The Liquid Pours Xtreme is an innovative trading strategy that combines the analysis of specific time-based patterns with price comparisons to identify potential opportunities in the forex market. Designed for traders seeking a structured methodology based on clear rules, this strategy offers integration with Telegram for real-time alerts and provides visual tools to enhance trade management.
Key Features:
Analysis of Specific Time Patterns: The strategy captures and compares closing prices at two key moments during the trading day, identifying recurring patterns that may indicate future market movements.
Dynamic SL and TP Levels Implementation: Utilizes tick-based calculations to set Stop-Loss and Take-Profit levels, adapting to the current market volatility.
Advanced Telegram Integration: Provides detailed alerts including information such as the asset, signal time, entry price, and SL/TP levels, facilitating real-time decision-making.
Complete Customization: Allows users to adjust key parameters, including operation schedules, weekdays, and visual settings, adapting to different trading styles.
Enhanced Chart Visualization: Includes visual elements like candle color changes based on signal state, event markers, and halos to highlight important moments.
Default Strategy Properties: Specific configuration for optimal risk management and simulation.
How the Strategy Works
Capturing Prices at Key Moments:
- The strategy records the closing price at two user-defined specific times. These times typically correspond to periods of high market volatility, such as the opening of the European session and the US pre-market.
- Rationale: Volatility and trading volume usually increase during these times, presenting opportunities for significant price movements.
Generating Signals Based on Price Comparison:
- Buy Signal: If the second closing price is lower than the first, it indicates possible accumulation and is interpreted as a bullish signal.
- Sell Signal: If the second closing price is higher than the first, it suggests possible distribution and is interpreted as a bearish signal.
- Signals are only generated on selected trading days, allowing you to avoid days with lower liquidity or higher risk.
Calculating Dynamic SL and TP Levels:
- Stop-Loss (SL) and Take-Profit (TP) levels are calculated based on the entry price and a user-defined number of ticks, adapting to market volatility.
- The strategy offers the option to base these levels on the close of the signal candle or the open of the next candle, providing flexibility according to the trader's preference.
- SL and TP boxes are drawn on the chart for visual reference, facilitating trade management.
Automatic Execution and Alerts:
- Upon signal generation, the strategy automatically executes a market order (buy or sell).
- Sends a detailed alert to your Telegram channel, including essential information for quick decision-making.
Visual Elements:
- Colors candles based on the signal state: buy, sell, or neutral, allowing for quick trend identification.
- Provides a smooth color transition between signal states and uses markers and halos to highlight important events and signals on the chart.
Trade Management:
- Manages open trades with automatic exit conditions based on the established SL and TP levels.
- Includes mechanisms to prevent exceeding TradingView's limitations on boxes and labels, ensuring optimal script performance.
Originality and utility:
- This strategy incorporates a unique approach focusing on specific time patterns and their relationship to institutional activity in the market.
How to Use the Strategy
Add the Script to the Chart:
- Go to the indicators menu in TradingView.
- Search for " Liquid Pours Xtreme " and add it to your chart.
Set Up Telegram Alerts:
- Enter your Telegram Chat ID in the script parameters to receive alerts.
- Customize the Buy and Sell alert messages as desired.
Configure Time Patterns:
- Set the hours and minutes for the two times you want to compare closing prices, aligning them with relevant market sessions or events.
Set SL and TP Parameters:
- Define the number of ticks for the Stop-Loss and Take-Profit levels, adapting them to the asset you're trading and your risk tolerance.
- Choose the basis for SL and TP calculation (close of the signal candle or open of the next candle).
Select Trading Days:
- Enable or disable trading on specific days of the week, allowing you to avoid days with lower activity or unexpected volatility.
Customize Visual Elements:
- Adjust the colors and styles of visual elements to enhance readability and suit your personal preferences.
Monitor the Strategy:
- Observe the chart for signals and use Telegram alerts to stay informed of new opportunities, even when you're not at your terminal.
Testing and Optimization:
- Use TradingView's backtesting features to evaluate the historical performance of the strategy with different parameters.
- Adjust and optimize the parameters based on the results and your own analysis.
Adjust the Strategy Properties:
- Ensure that the strategy properties (order size, commission, slippage) are aligned with your trading account and platform to obtain realistic results.
Strategy Properties (Important)
This script backtest is conducted on M30 EURUSD , using the following backtesting properties:
Initial Capital: $10,000
Order Size: 50,000 Contracts (equivalent to 0.5% of the capital)
Commission: $0.20 per order
Slippage: 1 tick
Pyramiding: 1 order
Verify Price for Limit Orders: 0 ticks
Recalculate on Order Execution: Enabled
Recalculate on Every Tick: Enabled
Recalculate After Order Filled: Enabled
Bar Magnifier for Backtesting Precision: Enabled
We use these properties to ensure a realistic preview of the backtesting system. Note that default properties may vary for different reasons:
- Order Size: It is essential to calculate the contract size according to the traded asset and desired risk level.
- Commission and Slippage: These costs can vary depending on the market and instrument; there is no default value that might return realistic results.
We strongly recommend all users adjust the Properties within the script settings to align with their accounts and trading platforms to ensure the results from the strategies are realistic.
Backtesting Results:
- Net Profit: $4,037.50 (40.37%)
- Total Closed Trades : 292
- Profitability Percentage: 26.71%
- Profit Factor: 1.369
- Max Drawdown: $769.30 (6.28%)
- Average Trade: $13.83 (0.03%)
- Average Bars in Trades: 11
These results were obtained under the mentioned conditions and properties, providing an overview of the strategy's historical performance.
Interpreting Results:
- The strategy has demonstrated profitability in the analyzed period, although with a win rate of 26.71%, indicating that success relies on a favorable risk-reward ratio.
- The profit factor of 1.369 suggests that total gains exceed total losses by that proportion.
- It is crucial to consider the maximum drawdown of 6.28% when evaluating the strategy's suitability to your risk tolerance.
Risk Warning:
Trading leveraged financial instruments carries a high level of risk and may not be suitable for all investors. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk tolerance. Past performance does not guarantee future results. It is essential to conduct additional testing and adjust the strategy according to your needs.
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What Makes This Strategy Original?
Time-Based Pattern Approach: Unlike conventional strategies, this strategy focuses on identifying time patterns that reflect institutional activity and macroeconomic events that can influence the market.
Advanced Technological Integration: The combination of automatic execution and customized alerts via Telegram provides an efficient and modern tool for active traders.
Customization and Adaptability: The wide range of adjustable parameters allows the strategy to be tailored to different assets, time zones, and trading styles.
Enhanced Visual Tools: Incorporated visual elements facilitate quick market interpretation and informed decision-making.
Additional Considerations
Continuous Testing and Optimization: Users are encouraged to perform additional backtesting and optimize parameters according to their own observations and requirements.
Complementary Analysis: Use this strategy in conjunction with other indicators and fundamental analysis to reinforce decision-making.
Rigorous Risk Management: Ensure that SL and TP levels, as well as position sizing, align with your risk management plan.
Updates and Support: I am committed to providing updates and improvements based on community feedback. For inquiries or suggestions, feel free to contact me.
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Example Configuration
Assuming you want to use the strategy with the following parameters:
Telegram Chat ID: Your unique Telegram Chat ID
First Time (Hour:Minute): 6:30
Second Time (Hour:Minute): 7:30
SL Ticks: 100
TP Ticks: 400
SL and TP Basis: Close of the Signal Candle
Trading Days: Tuesday, Wednesday, Thursday
Simulated Initial Capital: $10,000
Risk per Trade in Simulation: $50 (-0.5% of capital)
Slippage and Commissions in Simulation: 1 tick of slippage and $0.20 commission per trade
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Conclusion
The Liquid Pours Xtreme strategy offers an innovative approach by combining specific time analysis with robust risk management and modern technological tools. Its original and adaptable design makes it valuable for traders looking to diversify their methods and capitalize on opportunities based on less conventional patterns.
Ready for immediate implementation in TradingView, this strategy can enrich your trading arsenal and contribute to a more informed and structured approach to your operations.
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Final Disclaimer:
Financial markets are volatile and can present significant risks. This strategy should be used as part of a comprehensive trading approach and does not guarantee positive results. It is always advisable to consult with a professional financial advisor before making investment decisions.
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Pine實用程式
Fancy Oscillator Screener [Daveatt]⬛ OVERVIEW
Building upon LeviathanCapital original RSI Screener (), this enhanced version brings comprehensive technical analysis capabilities to your trading workflow. Through an intuitive grid display, you can monitor multiple trading instruments simultaneously while leveraging powerful indicators to identify market opportunities in real-time.
⬛ FEATURES
This script provides a sophisticated visualization system that supports both cross rates and heat map displays, allowing you to track exchange rates and percentage changes with ease. You can organize up to 40 trading pairs into seven customizable groups, making it simple to focus on specific market segments or trading strategies.
If you overlay on any circle/asset on the chart, you'll see the accurate oscillator value displayed for that asset
⬛ TECHNICAL INDICATORS
The screener supports the following oscillators:
• RSI - the oscillator from the original script version
• Awesome Oscillator
• Chaikin Oscillator
• Stochastic RSI
• Stochastic
• Volume Oscillator
• CCI
• Williams %R
• MFI
• ROC
• ATR Multiple
• ADX
• Fisher Transform
• Historical Volatility
• External : connect your own custom oscillator
⬛ DYNAMIC SCALING
One of the key improvements in this version is the implementation of dynamic chart scaling. Unlike the original script which was optimized for RSI's 0-100 range, this version automatically adjusts its scale based on the selected oscillator.
This adaptation was necessary because different indicators operate on vastly different numerical ranges - for instance, CCI typically ranges from -200 to +200, while Williams %R operates from -100 to 0.
The dynamic scaling ensures that each oscillator's data is properly displayed within its natural range, making the visualization both accurate and meaningful regardless of which indicator you choose to use.
⬛ ALERTS
I've integrated a comprehensive alert system that monitors both overbought and oversold conditions.
Users can now set custom threshold levels for their alerts.
When any asset in your monitored group crosses these thresholds, the system generates an alert, helping you catch potential trading opportunities without constant manual monitoring.
em will help you stay informed of market movements and potential trading opportunities.
I hope you'll find this tool valuable in your trading journey
All the BEST,
Daveatt
TOP 20 ALTCOIN INDEXIndicator Description
The "ALT20 INDEX" is a financial analysis tool designed to track the aggregate value of the top 20 cryptocurrencies by market capitalization and closing prices over specific periods. This indicator reflects changes in the combined value of these 20 ALTCOINs, providing an overview of trends in the cryptocurrency market.
=================================
Purpose and Practical Applications
1. Tracking Top Cryptocurrencies:
- The indicator allows monitoring the value of the top 20 ALTCOINs, reflecting the general volatility of the cryptocurrency market.
- Helps investors focus on high-capitalization assets.
2. Performance Comparison:
- Serves as a tool to compare the performance of the ALT20 group against other assets like Bitcoin, Ethereum, or traditional financial indices.
3. Assessing Market Health:
- Enables evaluation of market trends, identifying growth or decline periods.
4. Practical Applications:
- Suitable for fund managers, long-term investors, or trend traders to make decisions based on the overall ALTCOIN market performance.
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How the Indicator Works
1. Selection of Top 20 ALTCOINs:
- Cryptocurrencies are selected based on their market capitalization at each rebalancing period.
2. Weight Allocation and Calculation:
- Weight: Determined by the market capitalization of each ALTCOIN relative to the total market capitalization of the top 20.
- Token Quantity: Calculated based on weight, total allocation points (e.g., 100 points for T1, 722.63 points for T2, etc.), and each ALTCOIN's closing price.
Formula: Token Quantity = Weight × Total Allocation Points/Closing Price
3. Periodic Rebalancing:
- Rebalancing frequency: Once a year.
- At each rebalancing period, the weights and token quantities are adjusted based on new market capitalization and prices.
4. Portfolio Value Calculation:
- The value of each ALTCOIN is calculated as:
Token Value = Closing Price × Token Quantity
- Index Total: ALT20 Index = 20∑'i=1'Token Value'i'
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Rebalancing Periods
T1 (2020-2021): Initial period, token quantities calculated based on weights and a total of 100 points.
T2 (2021-2022): Rebalanced with a total allocation of 722.63 points.
T3 (2022-2023): Total allocation of 252.26 points, reflecting portfolio adjustments based on new prices and market caps.
T4 (2023-2024): Total allocation of 261.43 points.
T5 (2024-Present): Total allocation of 437.42 points, updated to reflect the current market.
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Indicator Features
- Displays Index Value Over Time:
+ index_value_T1 to index_value_T5 represent the portfolio value during specific timeframes.
+ Values are calculated based on the daily closing prices of ALTCOINs.
- Visualization:
+ The index for each period is plotted on the chart, enabling easy observation of market trends over time.
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Practical Applications
- Portfolio Management:
+ The indicator helps track the performance of asset groups within the ALTCOIN portfolio.
- Integration into Trading Systems:
+ Used as a reference for automated or manual trading strategies.
- Market Analysis:
+ Assists analysts in evaluating cryptocurrency market movements based on the top 20 ALTCOINs.
Let me know if further optimization or additional information is needed! Thank!
Altcoin Season Index - AdamThe "Altcoin Season Index" is a powerful tool for understanding market dynamics between Bitcoin and altcoins. This indicator helps traders identify whether the market is favoring Bitcoin or if it has shifted to favor altcoins. Understanding this can be crucial for making informed decisions about allocating your investments within the crypto market.
Overview of the Altcoin Season Index
The Altcoin Season Index calculates how well the top 10 altcoins are performing compared to Bitcoin over a given period. It helps traders determine if they are currently in an "Altcoin Season" or a "Bitcoin Season." The indicator gives a score from 0 to 100, representing the percentage of altcoins outperforming Bitcoin over a specific time window. When many altcoins are performing better than Bitcoin, it suggests a possible "Altcoin Season," whereas the opposite may indicate a period of Bitcoin dominance.
Key Features:
1. Top 10 Altcoin Performance Comparison: The indicator evaluates the performance of the top 10 altcoins compared to Bitcoin. It provides a clear view of how well altcoins are doing relative to the market leader, Bitcoin.
2. Customizable Performance Period: The period of analysis is adjustable, allowing users to set a specific timeframe, typically in days, to evaluate the relative performance of altcoins versus Bitcoin.
3. Dynamic Replacement of Altcoins: The indicator includes a feature to replace the last coin in the list, ensuring that the data stays relevant as market conditions change. For example, when a new altcoin enters the top 10 in terms of market cap, the indicator can replace an older coin that is falling out of the top ranks.
4. Threshold Indicators: The indicator uses predefined thresholds to determine and visualize whether it is an "Altcoin Season" or a "Bitcoin Season":
- A value above 75 indicates an Altcoin Season, suggesting that altcoins are outperforming Bitcoin.
- A value below 25 suggests Bitcoin dominance, where Bitcoin is outperforming the majority of altcoins.
How the Indicator Works:
1. Performance Calculation: The indicator calculates the percentage change in price for each of the top 10 altcoins and Bitcoin over a given number of days. The comparison is made by looking at how much each asset's price has changed over the specified period.
2. Altcoin Season Calculation: The indicator counts the number of altcoins that have outperformed Bitcoin during the given period. The result is then expressed as a percentage, known as the Altcoin Season Index. If 8 out of 10 altcoins are outperforming Bitcoin, the index will be 80%, signaling a strong altcoin season.
3. Visual Representation: The indicator is visualized on a separate panel within TradingView, showing the Altcoin Season Index over time. Additionally, thresholds are marked on the chart, and background colors are applied to provide visual cues:
- Red Background: When the Altcoin Season Index is above 75, indicating a strong altcoin season.
- Blue Background: When the Altcoin Season Index is below 25, indicating Bitcoin dominance.
Practical Use:
- Identify Market Cycles: Traders can use this indicator to identify when the market is moving into or out of an altcoin season. This can help traders decide whether to rotate capital into altcoins or Bitcoin.
- Investment Strategy Adjustment: During altcoin seasons, altcoins tend to outperform Bitcoin. Traders might allocate more of their portfolio to promising altcoins. Conversely, during Bitcoin-dominant periods, shifting investments towards Bitcoin could provide more stability.
- Support Technical Analysis: This indicator complements other forms of technical analysis by providing macro-level insights about market direction and which asset classes might be favored.
Example Usage:
Imagine that the Altcoin Season Index is currently at 80%. This means that 8 of the top 10 altcoins have performed better than Bitcoin over the selected period. This strong altcoin performance suggests that the market has entered an "Altcoin Season." A trader observing this might consider reallocating funds towards altcoins to capitalize on the positive momentum.
Alternatively, if the index is at 20%, only 2 out of the top 10 altcoins are outperforming Bitcoin, indicating that Bitcoin is currently the stronger player. In this scenario, traders may choose to prioritize Bitcoin or maintain a more conservative portfolio allocation.
Note:
This indicator includes a feature to replace the bottom-ranked altcoin (typically a coin that falls out of the top 10) with a new altcoin when market conditions change. This ensures that the analysis remains relevant by focusing on the top-performing assets by market capitalization.
Conclusion:
The Altcoin Season Index is a helpful tool for understanding broader trends in the cryptocurrency market and making strategic investment decisions. By monitoring which assets are performing better, traders can adapt their strategies and make more informed choices, particularly during shifts in market sentiment.
Please leave your feedback or contributions if there are any inaccuracies in my indicator. Thank you!
BTC vs Altcoin CorrelationThis Pine Script indicator calculates and visualizes the rolling correlation between Bitcoin (BTC) and a selected altcoin, while providing insights into the percentage of time the correlation remains above a user-defined threshold. Users can independently configure the correlation calculation period and the lookback period for measuring the percentage of time above the threshold. The correlation is displayed as a color-coded line: green when above the threshold and red otherwise, with a dashed horizontal line marking the threshold level. A dynamic table displays the current correlation value and the percentage of time spent above the threshold within the specified period, enabling quick evaluation of correlation dynamics between BTC and the chosen altcoin.
Linear Regression Channel Screener [Daveatt]Hello traders
First and foremost, I want to extend a huge thank you to @LonesomeTheBlue for his exceptional Linear Regression Channel indicator that served as the foundation for this screener.
Original work can be found here:
Overview
This project demonstrates how to transform any open-source indicator into a powerful multi-asset screener.
The principles shown here can be applied to virtually any indicator you find interesting.
How to Transform an Indicator into a Screener
Step 1: Identify the Core Logic
First, identify the main calculations of the indicator.
In our case, it's the Linear Regression
Channel calculation:
get_channel(src, len) =>
mid = math.sum(src, len) / len
slope = ta.linreg(src, len, 0) - ta.linreg(src, len, 1)
intercept = mid - slope * math.floor(len / 2) + (1 - len % 2) / 2 * slope
endy = intercept + slope * (len - 1)
dev = 0.0
for x = 0 to len - 1 by 1
dev := dev + math.pow(src - (slope * (len - x) + intercept), 2)
dev
dev := math.sqrt(dev / len)
Step 2: Use request.security()
Pass the function to request.security() to analyze multiple assets:
= request.security(sym, timeframe.period, get_channel(src, len))
Step 3: Scale to Multiple Assets
PineScript allows up to 40 request.security() calls, letting you monitor up to 40 assets simultaneously.
Features of This Screener
The screener provides real-time trend detection for each monitored asset, giving you instant insights into market movements.
It displays each asset's position relative to its middle regression line, helping you understand price momentum.
The data is presented in a clean, organized table with color-coded trends for easy interpretation.
At its core, the screener performs trend detection based on regression slope calculations, clearly indicating whether an asset is in a bullish or bearish trend.
Each asset's price is tracked relative to its middle regression line, providing additional context about trend strength.
The color-coded visual feedback makes it easy to spot changes at a glance.
Built-in alerts notify you instantly when any asset experiences a trend change, ensuring you never miss important market moves.
Customization Tips
You can easily expand the screener by adding more symbols to the symbols array, adapting it to your watchlist.
The regression parameters can be adjusted to match your preferred trading timeframes and sensitivity.
The alert system is already configured to notify you of trend changes, but you can customize the alert messages and conditions to your needs.
Limitations
While powerful, the screener is bound by PineScript's limitation of 40 security calls, capping the maximum number of monitored assets.
Using AI to Help With Conversion
An interesting tip:
You can use AI tools to help convert single-asset indicators to screeners.
Simply provide the original code and ask for assistance in transforming it into a screener format. While the AI output might need some syntax adjustments, it can handle much of the heavy lifting in the conversion process.
Prompt (example) : " Please make a pinescript version 5 screener out of this indicator below or in attachment to scan 20 instruments "
I prefer Claude AI (Opus model) over ChatGPT for pinescript.
Conclusion
This screener transformation technique opens up endless possibilities for market analysis.
By following these steps, you can convert any indicator into a powerful multi-asset scanner, enhancing your trading toolkit significantly.
Remember: The power of a screener lies not just in monitoring multiple assets, but in applying consistent analysis across your entire watchlist in real-time.
Feel free to fork and modify this screener for your own needs.
Happy trading! 🚀📈
Daveatt
Mean Price
^^ Plotting switched to Line.
This method of financial time series (aka bars) downsampling is literally, naturally, and thankfully the best you can do in terms of maximizing info gain. You can finally chill and feed it to your studies & eyes, and probably use nothing else anymore.
(HL2 and occ3 also have use cases, but other aggregation methods? Not really, even if they do, the use cases are ‘very’ specific). Tho in order to understand why, you gotta read the following wall, or just believe me telling you, ‘I put it on my momma’.
The true story about trading volumes and why this is all a big misdirection
Actually, you don’t need to be a quant to get there. All you gotta do is stop blindly following other people’s contextual (at best) solutions, eg OC2 aggregation xD, and start using your own brain to figure things out.
Every individual trade (basically an imprint on 1D price space that emerges when market orders hit the order book) has several features like: price, time, volume, AND direction (Up if a market buy order hits the asks, Down if a market sell order hits the bids). Now, the last two features—volume and direction—can be effectively combined into one (by multiplying volume by 1 or -1), and this is probably how every order matching engine should output data. If we’re not considering size/direction, we’re leaving data behind. Moreover, trades aren’t just one-price dots all the time. One trade can consume liquidity on several levels of the order book, so a single trade can be several ticks big on the price axis.
You may think now that there are no zero-volume ticks. Well, yes and no. It depends on how you design an exchange and whether you allow intra-spread trades/mid-spread trades (now try to Google it). Intra-spread trades could happen if implemented when a matching engine receives both buy and sell orders at the same microsecond period. This way, you can match the orders with each other at a better price for both parties without even hitting the book and consuming liquidity. Also, if orders have different sizes, the remaining part of the bigger order can be sent to the order book. Basically, this type of trade can be treated as an OTC trade, having zero volume because we never actually hit the book—there’s no imprint. Another reason why it makes sense is when we think about volume as an impact or imbalance act, and how the medium (order book in our case) responds to it, providing information. OTC and mid-spread trades are not aggressive sells or buys; they’re neutral ticks, so to say. However huge they are, sometimes many blocks on NYSE, they don’t move the price because there’s no impact on the medium (again, which is the order book)—they’re not providing information.
... Now, we need to aggregate these trades into, let’s say, 1-hour bars (remember that a trade can have either positive or negative volume). We either don’t want to do it, or we don’t have this kind of information. What we can do is take already aggregated OHLC bars and extract all the info from them. Given the market is fractal, bars & trades gotta have the same set of features:
- Highest & lowest ticks (high & low) <- by price;
- First & last ticks (open & close) <- by time;
- Biggest and smallest ticks <- by volume.*
*e.g., in the array ,
2323: biggest trade,
-1212: smallest trade.
Now, in our world, somehow nobody started to care about the biggest and smallest trades and their inclusion in OHLC data, while this is actually natural. It’s the same way as it’s done with high & low and open & close: we choose the minimum and maximum value of a given feature/axis within the aggregation period.
So, we don’t have these 2 values: biggest and smallest ticks. The best we can do is infer them, and given the fact the biggest and smallest ticks can be located with the same probability everywhere, all we can do is predict them in the middle of the bar, both in time and price axes. That’s why you can see two HL2’s in each of the 3 formulas in the code.
So, summed up absolute volumes that you see in almost every trading platform are actually just a derivative metric, something that I call Type 2 time series in my own (proprietary ‘for now’) methods. It doesn’t have much to do with market orders hitting the non-uniform medium (aka order book); it’s more like a statistic. Still wanna use VWAP? Ok, but you gotta understand you’re weighting Type 1 (natural) time series by Type 2 (synthetic) ones.
How to combine all the data in the right way (khmm khhm ‘order’)
Now, since we have 6 values for each bar, let’s see what information we have about them, what we don’t have, and what we can do about it:
- Open and close: we got both when and where (time (order) and price);
- High and low: we got where, but we don’t know when;
- Biggest & smallest trades: we know shit, we infer it the way it was described before.'
By using the location of the close & open prices relative to the high & low prices, we can make educated guesses about whether high or low was made first in a given bar. It’s not perfect, but it’s ultimately all we can do—this is the very last bit of info we can extract from the data we have.
There are 2 methods for inferring volume delta (which I call simply volume) that are presented everywhere, even here on TradingView. Funny thing is, this is actually 2 parts of the 1 method. I wonder how many folks see through it xD. The same method can be used for both inferring volume delta AND making educated guesses whether high or low was made first.
Imagine and/or find the cases on your charts to understand faster:
* Close > open means we have an up bar and probably the volume is positive, and probably high was made later than low.
* Close < open means we have a down bar and probably the volume is negative, and probably low was made later than high.
Now that’s the point when you see that these 2 mentioned methods are actually parts of the 1 method:
If close = open, we still have another clue: distance from open/close pair to high (HC), and distance from open/close pair to low (LC):
* HC < LC, probably high was made later.
* HC > LC, probably low was made later.
And only if close = open and HC = LC, only in this case we have no clue whether high or low was made earlier within a bar. We simply don’t have any more information to even guess. This bar is called a neutral bar.
At this point, we have both time (order) and price info for each of our 6 values. Now, we have to solve another weighted average problem, and that’s it. We’ll weight prices according to the order we’ve guessed. In the neutral bar case, open has a weight of 1, close has a weight of 3, and both high and low have weights of 2 since we can’t infer which one was made first. In all cases, biggest and smallest ticks are modeled with HL2 and weighted like they’re located in the middle of the bar in a time sense.
P.S.: I’ve also included a "robust" method where all the bars are treated like neutral ones. I’ve used it before; obviously, it has lesser info gain -> works a bit worse.
ATR-based TP/SL with Dynamic RREnglish
This indicator combines the power of the Average True Range (ATR) with dynamic calculations for Take Profit (TP) and Stop Loss (SL) levels, offering a clear visualization of trading opportunities and their respective Risk-Reward Ratios (RRR).
Features:
Dynamic TP/SL Calculation:
TP and SL levels are derived using user-defined ATR multipliers for precise positioning.
Multipliers are flexible, allowing traders to adjust according to their strategies.
Risk-Reward Ratio (RRR):
Automatically calculates and displays the RRR for each trade signal.
Helps traders quickly assess if a trade aligns with their risk management plan.
Entry Conditions:
Buy signals occur when the closing price crosses above the 20-period Simple Moving Average (SMA).
Sell signals occur when the closing price crosses below the 20-period SMA.
Visual Aids:
Red and green lines indicate Stop Loss and Take Profit levels.
Blue and orange labels show the RRR for long and short trades, respectively.
How It Works:
The indicator uses the ATR to calculate TP and SL levels:
TP: Adjusted based on the desired Risk-Reward Ratio (RR).
SL: Proportional to the ATR multiplier.
Entry signals are plotted with "BUY" or "SELL" markers, while the respective TP/SL levels are drawn as horizontal lines.
Why Use This Indicator?
Perfect for traders who value precise risk management.
Helps identify trades with favorable RRR (e.g., greater than 1.5 or 2.0).
Ideal for swing traders, day traders, and scalpers looking to automate their decision-making process.
Customization:
ATR Length: Control the sensitivity of ATR-based calculations.
ATR Multipliers: Set the TP and SL distances relative to the ATR.
Desired RRR: Define the risk/reward ratio you aim to achieve.
Important Notes:
The indicator does not place trades automatically; it is for visual and analytical purposes.
Always backtest and combine it with additional analysis for best results.
French
Cet indicateur combine la puissance de l’Average True Range (ATR) avec des calculs dynamiques pour les niveaux de Take Profit (TP) et de Stop Loss (SL), tout en offrant une visualisation claire des opportunités de trading et de leurs Ratios Risque/Rendement (RRR).
Fonctionnalités :
Calcul Dynamique des TP/SL :
Les niveaux de TP et SL sont calculés à l'aide de multiplicateurs ATR définis par l’utilisateur pour une position précise.
Les multiplicateurs sont personnalisables pour s'adapter à votre stratégie de trading.
Ratio Risque/Rendement (RRR) :
Calcule et affiche automatiquement le ratio RRR pour chaque signal de trade.
Permet aux traders d’évaluer rapidement si un trade correspond à leur plan de gestion des risques.
Conditions d'Entrée :
Les signaux d'achat apparaissent lorsque le prix de clôture traverse au-dessus de la moyenne mobile simple (SMA) à 20 périodes.
Les signaux de vente apparaissent lorsque le prix de clôture traverse en dessous de la SMA à 20 périodes.
Aides Visuelles :
Lignes rouges et vertes pour indiquer les niveaux de Stop Loss et de Take Profit.
Étiquettes bleues et orange pour afficher le RRR des trades longs et courts, respectivement.
Comment Cela Fonctionne :
L'indicateur utilise l’ATR pour calculer les niveaux TP et SL :
TP : Calculé dynamiquement en fonction du ratio risque/rendement souhaité (RRR).
SL : Proportionnel au multiplicateur ATR défini par l’utilisateur.
Les signaux d’entrée sont représentés par des étiquettes "BUY" ou "SELL", tandis que les niveaux de TP/SL sont tracés sous forme de lignes horizontales.
Pourquoi Utiliser Cet Indicateur ?
Idéal pour les traders soucieux d’une gestion rigoureuse des risques.
Identifie les opportunités de trades avec des RRR favorables (par exemple, supérieurs à 1.5 ou 2.0).
Convient aux swing traders, day traders et scalpeurs souhaitant automatiser leur processus de décision.
Personnalisation :
Longueur de l’ATR : Contrôlez la sensibilité des calculs basés sur l’ATR.
Multiplicateurs ATR : Ajustez les distances TP et SL par rapport à l’ATR.
Ratio RRR souhaité : Définissez le ratio risque/rendement que vous visez.
Remarques Importantes :
Cet indicateur n’exécute pas de trades automatiquement ; il est destiné à un usage visuel et analytique uniquement.
Toujours backtester et combiner avec une analyse supplémentaire pour de meilleurs résultats.
parametre par type de trading:
1. Pour les Scalpers :
Style de trading : Trades rapides sur de petites variations de prix, souvent sur des unités de temps courtes (1 min, 5 min).
Recommandations de paramètres :
ATR Length : 7 (plus court pour réagir rapidement à la volatilité).
Multiplicateur SL : 1.0 (Stop Loss proche pour limiter les pertes).
RR souhaité : 1.5 à 2.0 (bon équilibre entre risque et récompense).
Résultat attendu : Des trades fréquents, avec une probabilité raisonnable de toucher le TP tout en limitant les pertes.
2. Pour les Day Traders :
Style de trading : Trades qui durent plusieurs heures dans la journée, souvent sur des unités de temps moyennes (15 min, 1h).
Recommandations de paramètres :
ATR Length : 14 (standard pour capturer une volatilité modérée).
Multiplicateur SL : 1.5 (Stop Loss à distance raisonnable pour supporter les fluctuations intrajournalières).
RR souhaité : 2.0 à 3.0 (ciblez une bonne récompense par rapport au risque).
Résultat attendu : Moins de trades, mais un RR élevé pour compenser les pertes potentielles.
3. Pour les Swing Traders :
Style de trading : Trades qui durent plusieurs jours, souvent sur des unités de temps longues (4h, 1 jour).
Recommandations de paramètres :
ATR Length : 20 (pour capturer des mouvements de volatilité plus larges).
Multiplicateur SL : 2.0 (Stop Loss large pour supporter des fluctuations importantes).
RR souhaité : 3.0 ou plus (ciblez de gros mouvements de prix).
Résultat attendu : Des trades moins fréquents mais potentiellement très lucratifs.
4. Pour les Actifs Volatils (Crypto, Commodités) :
Problème spécifique : Les actifs volatils ont souvent des mouvements brusques.
Recommandations de paramètres :
ATR Length : 7 ou 10 (plus court pour suivre rapidement les variations).
Multiplicateur SL : 1.5 à 2.0 (assez large pour ne pas être déclenché prématurément).
RR souhaité : 1.5 à 2.0 (favorisez des récompenses réalistes sur des mouvements volatils).
Résultat attendu : Trades qui s’adaptent à la volatilité sans sortir trop tôt.
5. Pour les Marchés Stables (Indices, Actions Blue Chip) :
Problème spécifique : Les mouvements sont souvent lents et prévisibles.
Recommandations de paramètres :
ATR Length : 14 ou 20 (capture une volatilité modérée).
Multiplicateur SL : 1.0 à 1.5 (Stop Loss serré pour maximiser l’efficacité).
RR souhaité : 2.0 à 3.0 (ciblez des ratios plus élevés sur des mouvements moins fréquents).
Résultat attendu : Maximisation des profits sur des tendances claires.
Recommandation Générale :
Si vous ne savez pas par où commencer, utilisez ces paramètres par défaut :
ATR Length : 14
Multiplicateur SL : 1.5
RR souhaité : 2.0
Checklist By TAZFX with Trade ScoreTrading Checklist is a customizable indicator designed for traders who want to stay disciplined and stick to their trading rules. Using this indicator, you can easily create and display your own personalized checklist of trading rules directly on your TradingView chart.
1. Customizable Settings:
• Positioning : Place the table in one of nine positions on the chart (e.g., bottom left, top right).
• Header : Modify the banner text, size, and color.
• Row Content : Define text for each row and control visibility.
• Appearance : Adjust text and background colors.
2. Checklist Table:
•Displays up to 8 rows with checkboxes (✅/❌) and custom labels for trade evaluation.
•Useful for tracking whether specific trade conditions or rules are met.
3. Trade Score Calculation:
•The Trade Score is a percentage that shows how many of your checklist items are checked compared to the total visible items.
Customizable Psychological LevelsThe Customizable Psychological Levels indicator is designed to simplify the process of marking psychological levels on your chart without the need to manually add lines. Psychological levels are critical price zones where market participants often make decisions, such as round numbers or price levels that align with key technical analysis thresholds.
This indicator offers a fully automated way to plot these levels, with customizable options for intervals, colors, line thickness, and styles. Traders can focus more on their analysis and decision-making while relying on this tool to display consistent and accurate psychological levels across different timeframes.
Key Features:
Automated Level Drawing:
Major, intermediate, and minor levels are plotted automatically based on user-defined intervals.
No need to draw lines manually, saving time and ensuring precision.
Customizable Settings:
Choose intervals for each level type (major, intermediate, minor).
Select unique colors, line thickness, and styles (solid, dashed, or dotted) to distinguish levels visually.
Non-Overlapping Levels:
Includes an option to prevent overlapping levels, ensuring a clean and organized chart.
Dynamic or Fixed Levels:
Levels adjust dynamically to the chart’s price range, making them suitable for various instruments and timeframes.
Benefits:
Enhances productivity by automating the process of marking psychological levels.
Offers a highly customizable and visually appealing solution for traders who rely on psychological levels in their trading strategies.
Helps traders quickly identify critical price zones and make informed decisions.
This tool is perfect for both beginner and experienced traders who want to streamline their workflow while maintaining a professional and systematic approach to technical analysis.
Trend Following Strategy with KNN
### 1. Strategy Features
This strategy combines the K-Nearest Neighbors (KNN) algorithm with a trend-following strategy to predict future price movements by analyzing historical price data. Here are the main features of the strategy:
1. **Dynamic Parameter Adjustment**: Uses the KNN algorithm to dynamically adjust parameters of the trend-following strategy, such as moving average length and channel length, to adapt to market changes.
2. **Trend Following**: Captures market trends using moving averages and price channels to generate buy and sell signals.
3. **Multi-Factor Analysis**: Combines the KNN algorithm with moving averages to comprehensively analyze the impact of multiple factors, improving the accuracy of trading signals.
4. **High Adaptability**: Automatically adjusts parameters using the KNN algorithm, allowing the strategy to adapt to different market environments and asset types.
### 2. Simple Introduction to the KNN Algorithm
The K-Nearest Neighbors (KNN) algorithm is a simple and intuitive machine learning algorithm primarily used for classification and regression problems. Here are the basic concepts of the KNN algorithm:
1. **Non-Parametric Model**: KNN is a non-parametric algorithm, meaning it does not make any assumptions about the data distribution. Instead, it directly uses training data for predictions.
2. **Instance-Based Learning**: KNN is an instance-based learning method that uses training data directly for predictions, rather than generating a model through a training process.
3. **Distance Metrics**: The core of the KNN algorithm is calculating the distance between data points. Common distance metrics include Euclidean distance, Manhattan distance, and Minkowski distance.
4. **Neighbor Selection**: For each test data point, the KNN algorithm finds the K nearest neighbors in the training dataset.
5. **Classification and Regression**: In classification problems, KNN determines the class of a test data point through a voting mechanism. In regression problems, KNN predicts the value of a test data point by calculating the average of the K nearest neighbors.
### 3. Applications of the KNN Algorithm in Quantitative Trading Strategies
The KNN algorithm can be applied to various quantitative trading strategies. Here are some common use cases:
1. **Trend-Following Strategies**: KNN can be used to identify market trends, helping traders capture the beginning and end of trends.
2. **Mean Reversion Strategies**: In mean reversion strategies, KNN can be used to identify price deviations from the mean.
3. **Arbitrage Strategies**: In arbitrage strategies, KNN can be used to identify price discrepancies between different markets or assets.
4. **High-Frequency Trading Strategies**: In high-frequency trading strategies, KNN can be used to quickly identify market anomalies, such as price spikes or volume anomalies.
5. **Event-Driven Strategies**: In event-driven strategies, KNN can be used to identify the impact of market events.
6. **Multi-Factor Strategies**: In multi-factor strategies, KNN can be used to comprehensively analyze the impact of multiple factors.
### 4. Final Considerations
1. **Computational Efficiency**: The KNN algorithm may face computational efficiency issues with large datasets, especially in real-time trading. Optimize the code to reduce access to historical data and improve computational efficiency.
2. **Parameter Selection**: The choice of K value significantly affects the performance of the KNN algorithm. Use cross-validation or other methods to select the optimal K value.
3. **Data Standardization**: KNN is sensitive to data standardization and feature selection. Standardize the data to ensure equal weighting of different features.
4. **Noisy Data**: KNN is sensitive to noisy data, which can lead to overfitting. Preprocess the data to remove noise.
5. **Market Environment**: The effectiveness of the KNN algorithm may be influenced by market conditions. Combine it with other technical indicators and fundamental analysis to enhance the robustness of the strategy.
Volume HighlightVolume Highlight
Description:
This script helps users analyze trading volume by:
1. Highlighting the highest volume bars:
• Trading sessions with volume equal to or exceeding the highest value over the last 20 periods are displayed in purple.
• Other sessions are displayed in light gray.
2. Displaying the 20-period SMA (Simple Moving Average):
• A 20-period SMA line of the volume is included to track the general trend of trading volume.
Key Features:
• Color-coded Highlights:
• Quickly identify trading sessions with significant volume spikes.
• 20-Period SMA Line:
• Observe the overall trend of trading volume.
• Intuitive Volume Bars:
• Volume bars are clearly displayed for easy interpretation.
How to Use:
1. Add the script to your chart on TradingView.
2. Look at the color of the volume bars:
• Purple: Sessions with the highest trading volume in the past 20 periods.
• Light gray: Other sessions.
3. Use the 20-period SMA line to analyze volume trends.
Purpose:
• Analyze market momentum through trading volume.
• Support trading decisions by identifying significant volume spikes.
Illustration:
• A chart showing color-coded volume bars and the 20-period SMA line.
Stick Figure - AYNETKey Features
Customizable Inputs:
base_price: Sets the vertical position (price level) where the figure's feet are placed.
bar_offset: Adjusts the horizontal placement of the stick figure on the chart.
body_length, arm_length, leg_length, head_size: Control the proportions of the stick figure.
Stick Figure Components:
Head: A horizontal line to symbolize the head.
Body: A vertical line for the torso.
Arms: A horizontal line extending from the torso.
Legs: Two diagonal lines representing the legs.
Dynamic Positioning:
The stick figure can be moved along the chart using bar_offset (horizontal) and base_price (vertical).
How It Works
Head:
A horizontal line (line.new) is drawn above the torso using the specified head_size.
Body:
A vertical line connects the head to the base price (base_price).
Arms and Legs:
Arms are horizontal lines extending from the middle of the body.
Legs are diagonal lines extending from the bottom of the torso.
Error Handling:
All x1 and x2 parameters are converted to int using int() to comply with Pine Script's requirements.
Example Use Case
This script is purely for fun and visualization:
Create visual markers for specific price levels or events.
Customize the stick figure's proportions to make it more prominent on the chart.
Let me know if you'd like further refinements or additions! 😊
[Stuppieeeeeee] - Multiple vertical timeframes linesEnhance your trading experience with this intuitive indicator that displays vertical lines on your chart to mark the start of new bars in higher timeframes. Whether you're analyzing on a 5-minute chart or any other lower timeframe, this tool helps you visualize when significant periods begin on larger scales like hourly, daily, or even monthly charts.
Key Features:
Multiple Timeframes Supported: Choose from 5 minutes, 15 minutes, 1 hour, 4 hours, 12 hours, daily, weekly, and monthly timeframes to display vertical lines.
Customizable Appearance: Personalize each set of lines by adjusting their colors, including transparency levels, line styles (solid, dashed, dotted), and widths to suit your preferences and enhance visibility.
Automatic Visibility Management: The indicator intelligently hides lines for timeframes that are equal to or lower than your current chart timeframe, keeping your chart clean and focused.
Future Projection: Not only does it mark the start of current higher timeframe bars, but it also projects lines into the near future. This feature allows you to anticipate upcoming significant time intervals, aiding in better planning and decision-making.
Layer Control: You have the ability to control which lines appear above others. By adjusting the drawing order and using transparency settings, you ensure that all important lines are visible without cluttering your chart.
Benefits:
Enhanced Multi-Timeframe Analysis: Quickly identify when higher timeframe bars start while analyzing lower timeframe charts, helping you align your trades with significant market movements.
Improved Market Structure Understanding: Visual cues from the vertical lines aid in recognizing patterns and trends that span across different timeframes.
Strategic Planning: Anticipate key time intervals with future projection lines, allowing you to prepare for potential market shifts.
How to Use:
Apply the Indicator:
Add the indicator to your TradingView chart as you would with any other tool.
It's most effective when used on lower timeframe charts (like 5-minute or 15-minute charts) to display lines from higher timeframes.
Customize Settings:
Open the indicator's settings panel.
For each timeframe, adjust the line color, style, width, and transparency to your liking.
Set the transparency to allow underlying lines to show through if desired.
Interpret the Lines:
Vertical lines will appear at the start of new bars for the higher timeframes you've selected.
Use these visual markers to inform your entry and exit points, aligning them with larger market movements.
Pay attention to future lines to anticipate upcoming periods of interest.
Notes:
Performance Considerations: Displaying a large number of lines may impact chart performance. If you notice any lag, consider reducing the number of active timeframes or increasing line transparency.
TradingView Limitations: Be aware that TradingView limits the number of drawing objects on a chart. The indicator is designed to manage this, but extremely long timeframes or high bar counts might affect its operation.
DJ - SIP Returns with Configurable Features - v1This Pine Script calculates and displays the returns of a Systematic Investment Plan (SIP) with configurable features such as annual increments and additional investments based on market corrections. The script is designed to work on daily time frames and includes various input options for customization.
Key Features
Input Options:
SIP Start and End Dates: Define the period for the SIP.
SIP Period: Choose between weekly and monthly SIP intervals.
Initial SIP Amount: Set the starting amount for the SIP.
Annual Increment: Enable and set a yearly increment percentage for the SIP amount.
Increment Month: Specify the month for the yearly increment.
Correction-Based Investment: Enable additional investments based on market corrections.
Correction Trigger: Set the percentage drop in price to trigger additional investments.
Correction Investment Type: Choose between a lump sum or a multiple of the last SIP amount for additional investments.
Display
Displays the total invested amount, current value, SIP return percentage, and the number of correction triggers in the status line.
The table displays various SIP metrics
Manual Trading Checklist by Afnan TajuddinHey traders! This Trading Checklist indicator like your personal to-do list right on your chart! Here’s what it does:
Easy Tracking: Seven checkboxes to make sure you’ve done all your trading steps.
Colorful Signs: Green "✔" for done stuff and red "✘" for things you need to fix.
Make It Yours: Change where the table is on the chart, pick your favorite colors, and set the text size just how you like it.
Simple Setup: Rename the checklist items and toggle them on or off in the settings.
Clean Look: It stays neat on your chart without messing things up.
Whether you’re just starting out or you’ve been trading for a while, this checklist helps you stay organized and stick to your plan. Perfect for anyone who loves keeping things tidy and on track!
Important to Know: This checklist is not dynamic or automatic and not specific to any symbol. You need to manually check it every time for all the stocks you’re planning to trade. It won’t do the checking for you, so make sure to update it yourself! 🚨
Enhanced Trading Alerts# Enhanced Multi-Symbol EMA Trading System with Smart Alerts
## 📊 Overview
A powerful multi-symbol trading system that monitors up to 6 symbols simultaneously for high-probability trading setups using advanced EMA crossover strategies, enhanced with volume confirmation and RSI filters. Perfect for swing traders and position traders focusing on quality tech stocks.
## 🎯 Key Features
- **Multi-Symbol Monitoring**: Simultaneously tracks 6 different symbols
- **Advanced EMA Strategy**: Uses dual EMA system (320 & 820 periods) for trend confirmation
- **Volume Validation**: Confirms signals with volume surge analysis
- **RSI Filter**: Adds momentum confirmation to avoid false signals
- **Smart Risk Management**: Automatic stop-loss and take-profit calculations
- **Detailed Alerts**: Comprehensive alert messages with key price levels
## 📈 Trading Signals
### Buy Signals Generated When:
- Price crosses above the slow EMA (820)
- Fast EMA (320) confirms the trend
- RSI is in optimal range (not overbought)
- Volume surge confirms the movement
- Risk levels automatically calculated
### Sell Signals Generated When:
- Price crosses below the slow EMA (820)
- Fast EMA (320) confirms the downtrend
- RSI confirms momentum shift
- Volume surge validates the movement
## ⚙️ Customizable Parameters
- **EMA Lengths**: Adjust fast and slow EMA periods
- **Volume Threshold**: Set minimum volume surge multiplier
- **RSI Settings**: Customize overbought/oversold levels
- **Risk Management**: Adjustable stop-loss and take-profit percentages
- **Symbol Selection**: Choose any 6 symbols to monitor
## 🎨 Visual Elements
- Blue line: Fast EMA (320)
- Red line: Slow EMA (820)
- Purple line: RSI indicator
- Clear visual representation of trend changes
## 📱 Smart Alerts
Detailed alert messages include:
- Symbol name and signal type
- Current price level
- RSI value
- Stop-loss price
- Take-profit target
- Volume surge multiplier
## 💡 Best Practices
1. **Timeframe Selection**:
- Best suited for 1H, 4H, or Daily timeframes
- Can be adapted for swing or position trading
2. **Risk Management**:
- Use suggested stop-loss levels
- Follow take-profit targets
- Consider volume confirmation strength
3. **Multiple Chart Setup**:
- Create multiple instances for more symbols
- Group correlated assets together
- Use different alert sounds for different setups
## 🎓 Usage Tips
- Monitor strongest tech stocks for best results
- Combine with market sentiment analysis
- Use volume surge as quality filter
- Wait for all conditions to align before trading
- Consider overall market conditions
## ⚠️ Risk Warning
This indicator is for informational purposes only. Always conduct your own analysis and consider your risk tolerance before trading. Past performance does not guarantee future results.
## 📌 Version History
- v1.0: Initial release with multi-symbol support
- v1.1: Added volume surge confirmation
- v1.2: Enhanced alert system with risk levels
- v1.3: Added RSI filter and improved signal quality
## 🔄 Regular Updates
Subscribe to this script for regular updates and improvements. Feel free to suggest features in the comments section.
## 📗 Default Symbols
- TSLA (Tesla)
- NVDA (NVIDIA)
- AVGO (Broadcom)
- TSM (Taiwan Semiconductor)
- META (Meta Platforms)
- AMZN (Amazon)
You can customize these symbols to match your trading preferences.
Good luck trading! 🍀
Stocks & Options P/L TrackerOverview:
The Stocks & Options P/L Tracker is a custom TradingView indicator developed to offer traders precise tracking of stocks & options trades’ profit and loss in real-time. It features a detailed display of P/L intervals, stop-loss and take-profit levels, and an adaptable trailing stop mechanism to help traders manage risk and optimize their trading strategies. This tool is particularly useful for active traders who seek immediate visual feedback on their trades’ performance.
Key Features:
Real-Time P/L Display: Computes and displays the P/L per contract/share and total P/L dynamically on the chart based on the specified entry price, relative to the current market price, and number of contracts or shares.
Configurable Take Profit and Stop Loss: Users can set take-profit and stop-loss amounts, and the indicator will visually mark these levels with corresponding dollar amounts for easy reference.
Trailing Stop Functionality: Offers an option to enable a trailing stop that automatically adjusts based on price movements.
Interval-Based P/L Tracking: Uses customizable intervals to display projected P/L levels above and below the entry price, helping users understand potential profit or loss scenarios at a glance.
Dynamic Labeling and Alerts: Visual labels are used to mark P/L, take-profit, stop-loss, trailing stop, and entry levels. These labels update dynamically on each new price bar to provide immediate insights into trade performance. NOTE: Due to TradingView's limitations with server-side alerts on fixed prices, dynamic alerts (for Take Profit, Stop Loss, and Trailing Stop) that adjust with price changes are not yet available. Alerts must be manually reset to your desired price each time.
Clean and Responsive Design: Utilizes color-coded labels and lines for P/L intervals, making it easy to distinguish profit, loss, stop, and take-profit zones. Colors adjust automatically to the current price to maintain clarity.
User Input Validation: Ensures appropriate input values for items like entry price, contract/share size, and profit/loss intervals to prevent errors and optimize performance.
Efficient Object Management: Implements object reusability for lines and labels to stay within Pine Script's object limits, ensuring smooth operation and maximum accuracy in real-time tracking.
Automatic Adjustments Based on Market Changes: Calculates and adjusts trailing stop levels dynamically based on highest price movement, which provides traders flexibility while maintaining risk controls.
Trader Benefits:
This indicator empowers traders with a robust tool to manage their trades visually and strategically on TradingView. The real-time feedback and customization options help traders make informed decisions, minimize risks, and maximize potential profits.
Happy Trading! :)
Economic Seasons [Daveatt]Ever wondered what season your economy is in?
Just like Mother Nature has her four seasons, the economy cycles through its own seasons! This indicator helps you visualize where we are in the economic cycle by tracking two key metrics:
📊 What We're Tracking:
1. Interest Rates (USIRYY) - The yearly change in interest rates
2. Inflation Rate (USINTR) - The rate at which prices are rising
The magic happens when we normalize these values (fancy math that makes the numbers play nice together) and compare them to their recent averages. We use a lookback period to calculate the standard deviation and determine if we're seeing higher or lower than normal readings.
🔄 The Four Economic Seasons & Investment Strategy:
1. 🌸 Goldilocks (↑Growth, ↓Inflation)
"Not too hot, not too cold" - The economy is growing steadily without overheating.
BEST TIME TO: Buy growth stocks, technology, consumer discretionary
WHY: Companies can grow earnings in this ideal environment of low rates and stable prices
2. 🌞 Reflation (↑Growth, ↑Inflation)
"Party time... but watch your wallet!" - The economy is heating up.
BEST TIME TO: Buy commodities, banking stocks, real estate
WHY: These sectors thrive when inflation rises alongside growth
3. 🌡️ Inflation (↓Growth, ↑Inflation)
"Ouch, my purchasing power!" - Growth slows while prices keep rising.
BEST TIME TO: Rotate into value stocks, consumer staples, healthcare
WHY: These defensive sectors maintain pricing power during inflationary periods
4. ❄️ Deflation (↓Growth, ↓Inflation)
"Winter is here" - Both growth and inflation are falling.
BEST TIME TO: Focus on quality bonds, cash positions, and dividend aristocrats
WHY: Capital preservation becomes key; high-quality fixed income provides safety
🎯 Strategic Trading Points:
- BUY AGGRESSIVELY: During late Deflation/early Goldilocks (the spring thaw)
- HOLD & ACCUMULATE: Throughout Goldilocks and early Reflation
- START TAKING PROFITS: During late Reflation/early Inflation
- DEFENSIVE POSITIONING: Throughout Inflation and Deflation
⚠️ Warning Signs to Watch:
- Goldilocks → Reflation: Time to reduce growth stock exposure
- Reflation → Inflation: Begin rotating into defensive sectors
- Inflation → Deflation: Quality becomes crucial
- Deflation → Goldilocks: Start building new positions
The blue dot shows you where we are right now in this cycle.
The red arrows in the middle remind us that this is a continuous cycle - one season flows into the next, just like in nature!
💡 Pro Tip: The transitions between seasons often provide the best opportunities - but also the highest risks. Use additional indicators and fundamental analysis to confirm these shifts.
Remember: Just like you wouldn't wear a winter coat in summer, you shouldn't use a Goldilocks strategy during Inflation! Time your trades with the seasons. 🎯
Happy Trading! 📈
Mins Before Market Close AlertThis script will set an alert X mins before the market closes.
This is meant to be added to daily charts (calculations based off of daily bars).
This script can be useful for sending webhooks before the market closes to close open positions or to open new ones.
Simply add it to your daily chart and set up your desired alert (email, webhook, sound, etc.).
You can also change the chart marker to a different shape, color, or location to your preference.
Enjoy this simple alert!
New Rate - PROIndicator Description: New Rate - PRO
The New Rate - PRO is an advanced trading indicator designed to assist traders in identifying significant price levels and potential reversal points within a specified time frame. By highlighting key highs and lows, projecting trendlines, and providing visual cues, this indicator enhances your ability to make informed trading decisions. It offers extensive customization options, ensuring adaptability to various trading styles and market conditions.
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Key Features:
Customizable Color Themes: Choose between Dark and Light color styles to match your chart preferences.
High and Low Line Detection: Automatically identifies and draws lines for significant high and low price levels within the defined analysis period.
Midline Projection: Optionally displays a midline representing the 50% range between the detected high and low, aiding in trend analysis.
Candle Coloring: Colors the first six candles within the analysis range with a specific color, while the remaining candles are displayed in a subdued gray for clarity.
Trading Session Highlight: Highlights the designated trading hours on the chart, providing a clear visual reference for active trading periods.
Touch Detection Arrows: Plots arrows on the chart when the price touches the detected high or low levels, indicating potential trading opportunities.
Extensive Customization Options: Allows users to adjust line colors, styles, widths, label texts, and more to suit individual trading preferences.
Timeframe and Range Configuration: Defines the specific timeframe and time range for analysis, ensuring precise detection of significant price levels.
How Does the Indicator Work?
Color Style Selection:
- Choose between "Dark" or "Light" themes to match your chart setup, adjusting the color palette for optimal visibility.
High and Low Line Detection:
- The indicator analyzes the first six candles within the specified time range to identify the highest and lowest price levels.
- Once detected, it draws horizontal lines extending 25 candles to the right, marking these significant levels on the chart.
Midline Projection:
- If enabled, the indicator calculates the midpoint between the detected high and low.
- It then draws a horizontal line at this midpoint, providing an additional reference for potential support or resistance.
Candle Coloring:
- The first six candles within the analysis period are colored based on user selection (default: yellow).
- Subsequent candles are displayed in a semi-transparent gray, allowing the key candles to stand out.
Trading Session Highlight:
- Highlights the active trading hours on the chart using a semi-transparent orange background.
- This visual aid helps traders focus on periods of increased market activity.
Touch Detection Arrows:
- When the price touches the previously detected high or low levels, the indicator plots an upward green arrow or a downward red arrow, respectively.
- These arrows signal potential entry points for buy or sell trades.
Customization of Labels and Lines:
- Users can customize the colors, styles (Solid, Dotted, Dashed), and widths of the high, low, and midline.
- Label texts and font sizes are also adjustable to enhance readability.
How to Use the Indicator?
Setup Color Themes:
- Select your preferred color theme ("Dark" or "Light") to ensure the indicator aligns with your chart's appearance.
Configure High and Low Lines:
- Adjust the line color, style, and width to clearly distinguish high and low levels on the chart.
- Enable or disable the midline based on your analysis needs.
Set Timeframe and Analysis Range:
- Define the chart's timeframe in minutes (e.g., 5 minutes) to tailor the indicator's sensitivity.
- Specify the start and end hours and minutes for the analysis period to focus on specific trading sessions.
Customize Candle Colors:
- Choose the color for the first six candles within the analysis range.
- The remaining candles will automatically be displayed in a default gray color.
Enable Trading Session Highlight:
- Activate the background highlight for the trading session to visually separate active trading hours from inactive periods.
Monitor Touch Detection Arrows:
- Watch for green upward arrows indicating potential buy signals when the price touches the high level.
- Look for red downward arrows signaling potential sell opportunities when the price reaches the low level.
Adjust Labels and Visual Elements:
- Modify label texts and font sizes to ensure clarity and avoid clutter on the chart.
- Fine-tune line styles and colors for better visual differentiation.
Plan Your Trades:
- Use the detected high and low levels as reference points for setting entry, stop-loss, and take-profit levels.
- Combine with other technical analysis tools to confirm trade signals and enhance decision-making.
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What Makes This Indicator Original?
Dynamic High and Low Detection: Automatically identifies significant price levels within a defined time range, providing timely insights into market movements.
Midline Projection Feature: Offers an additional reference point by calculating and displaying the midpoint between high and low levels, aiding in trend analysis.
Customizable Visual Elements: Extensive customization options for colors, styles, and labels allow traders to tailor the indicator to their specific preferences and trading environments.
Touch Detection Arrows: Provides clear visual signals when the price interacts with key levels, facilitating quick decision-making for trade entries.
Trading Session Highlight: Enhances focus by visually distinguishing active trading periods, helping traders concentrate on high-probability trading times.
Trade Summary Visualization: (If applicable based on code) Offers a summary of recent trades, allowing traders to assess performance directly on the chart.
Additional Considerations
Testing and Optimization: Before deploying the indicator in live trading, test it on historical data and a demo account to fine-tune settings according to your trading strategy.
Complementary Analysis: Use the indicator alongside other technical analysis tools such as moving averages, trendlines, and oscillators to confirm trade signals.
Risk Management: Always set appropriate stop-loss and take-profit levels to manage risk effectively, regardless of the indicator's signals.
Stay Informed: Keep abreast of market news and economic events that may influence price movements and affect the indicator's performance.
Adjust for Different Assets: Customize the indicator's settings based on the asset's volatility and trading behavior to enhance accuracy and reliability.
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Example Configuration
To help you get started, here is an example configuration:
Color Style: Dark
Line Color (High and Low): Red
Line Style (High and Low): Dotted
Line Width (High and Low): 2
Midline Color (50%): Blue
Show Midline: Yes
Label Text Color: Gray
Label Font Size: Medium
Candle Color (First 6 Candles): Yellow
Default Candle Color (Remaining Candles): Semi-transparent Gray
Timeframe Minutes: 5
Analysis Start Time: 08:35
Analysis End Time: 09:05
These settings are optimized for a 5-minute XAUUSD chart during the 8:35 to 09:05 trading session, highlighting key price levels and providing clear visual signals for potential trades.
Conclusion
The New Rate - PRO indicator is tool that combines dynamic price level detection with extensive customization and real-time visual cues. By automatically identifying significant highs and lows, projecting trendlines, and signaling potential trade opportunities, it enhances your ability to navigate the markets effectively. Its adaptability through customizable settings ensures that it can be tailored to various trading styles and market conditions, making it a valuable addition to any trader's toolkit.
Market Stats Panel [Daveatt]█ Introduction
I've created a script that brings TradingView's watchlist stats panel functionality directly to your charts. This isn't just another performance indicator - it's a pixel-perfect (kidding) recreation of TradingView's native stats panel.
Important Notes
You might need to adjust manually the scaling the firs time you're using this script to display nicely all the elements.
█ Core Features
Performance Metrics
The panel displays key performance metrics (1W, 1M, 3M, 6M, YTD, 1Y) in real-time, with color-coded boxes (green for positive, red for negative) for instant performance assessment.
Display Modes
Switch seamlessly between absolute prices and percentage returns, making it easy to compare assets across different price scales.
Absolute mode
Percent mode
Historical Comparison
View year-over-year performance with color-coded lines, allowing for quick historical pattern recognition and analysis.
Data Structure Innovation
Let's talk about one of the most interesting challenges I faced. PineScript has this quirky limitation where request.security() can only return 127 tuples at most. £To work around this, I implemented a dual-request system. The first request handles indices 0-63, while the second one takes care of indices 64-127.
This approach lets us maintain extensive historical data without compromising script stability.
And here's the cool part: if you need to handle even more years of historical data, you can simply extend this pattern by adding more request.security() calls.
Each additional call can fetch another batch of monthly open prices and timestamps, following the same structure I've used.
Think of it as building with LEGO blocks - you can keep adding more pieces to extend your historical reach.
Flexible Date Range
Unlike many scripts that box you into specific timeframes, I've designed this one to be completely flexible with your date selection. You can set any start year, any end year, and the script will dynamically scale everything to match. The visual presentation automatically adjusts to whatever range you choose, ensuring your data is always displayed optimally.
█ Customization Options
Visual Settings
The panel's visual elements are highly customizable. You can adjust the panel width to perfectly fit your workspace, fine-tune the line thickness to match your preferences, and enjoy the pre-defined year color scheme that makes tracking historical performance intuitive and visually appealing.
Box Dimensions
Every aspect of the performance boxes can be tailored to your needs. Adjust their height and width, fine-tune the spacing between them, and position the entire panel exactly where you want it on your chart. The goal is to make this tool feel like it's truly yours.
█ Technical Challenges Solved
Polyline Precision
Creating precise polylines was perhaps the most demanding aspect of this project.
The challenge was ensuring accurate positioning across both time and price axes, while handling percentage mode scaling with precision.
The script constantly updates the current year's data in real-time, seamlessly integrating new information as it comes in.
Axis Management
Getting the axes right was like solving a complex puzzle. The Y-axis needed to scale dynamically whether you're viewing absolute prices or percentages.
The X-axis required careful month labeling that stays clean and readable regardless of your selected timeframe.
Everything needed to align perfectly while maintaining proper spacing in all conditions.
█ Final Notes
This tool transforms complex market data into clear, actionable insights. Whether you're day trading or analyzing long-term trends, it provides the information you need to make informed decisions. And remember, while we can't predict the future, we can certainly be better prepared for it with the right tools at hand.
A word of warning though - seeing those red numbers in a beautifully formatted panel doesn't make them any less painful! 😉
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Happy Trading! May your charts be green and your stops be far away!
Daveatt
FTMO Rules MonitorFTMO Rules Monitor: Stay on Track with Your FTMO Challenge Goals
TLDR; You can test with this template whether your strategy for one asset would pass the FTMO challenges step 1 then step 2, then with real money conditions.
Passing a prop firm challenge is ... challenging.
I believe a toolkit allowing to test in minutes whether a strategy would have passed a prop firm challenge in the past could be very powerful.
The FTMO Rules Monitor is designed to help you stay within FTMO’s strict risk management guidelines directly on your chart. Whether you’re aiming for the $10,000 or the $200,000 account challenge, this tool provides real-time tracking of your performance against FTMO’s rules to ensure you don’t accidentally breach any limits.
NOTES
The connected indicator for this post doesn't matter.
It's just a dummy double supertrends (see below)
The strategy results for this script post does not matter as I'm posting a FTMO rules template on which you can connect any indicator/strategy.
//@version=5
indicator("Supertrends", overlay=true)
// Supertrend 1 Parameters
var string ST1 = "Supertrend 1 Settings"
st1_atrPeriod = input.int(10, "ATR Period", minval=1, maxval=50, group=ST1)
st1_factor = input.float(2, "Factor", minval=0.5, maxval=10, step=0.5, group=ST1)
// Supertrend 2 Parameters
var string ST2 = "Supertrend 2 Settings"
st2_atrPeriod = input.int(14, "ATR Period", minval=1, maxval=50, group=ST2)
st2_factor = input.float(3, "Factor", minval=0.5, maxval=10, step=0.5, group=ST2)
// Calculate Supertrends
= ta.supertrend(st1_factor, st1_atrPeriod)
= ta.supertrend(st2_factor, st2_atrPeriod)
// Entry conditions
longCondition = direction1 == -1 and direction2 == -1 and direction1 == 1
shortCondition = direction1 == 1 and direction2 == 1 and direction1 == -1
// Optional: Plot Supertrends
plot(supertrend1, "Supertrend 1", color = direction1 == -1 ? color.green : color.red, linewidth=3)
plot(supertrend2, "Supertrend 2", color = direction2 == -1 ? color.lime : color.maroon, linewidth=3)
plotshape(series=longCondition, location=location.belowbar, color=color.green, style=shape.triangleup, title="Long")
plotshape(series=shortCondition, location=location.abovebar, color=color.red, style=shape.triangledown, title="Short")
signal = longCondition ? 1 : shortCondition ? -1 : na
plot(signal, "Signal", display = display.data_window)
To connect your indicator to this FTMO rules monitor template, please update it as follow
Create a signal variable to store 1 for the long/buy signal or -1 for the short/sell signal
Plot it in the display.data_window panel so that it doesn't clutter your chart
signal = longCondition ? 1 : shortCondition ? -1 : na
plot(signal, "Signal", display = display.data_window)
In the FTMO Rules Monitor template, I'm capturing this external signal with this input.source variable
entry_connector = input.source(close, "Entry Connector", group="Entry Connector")
longCondition = entry_connector == 1
shortCondition = entry_connector == -1
🔶 USAGE
This indicator displays essential FTMO Challenge rules and tracks your progress toward meeting each one. Here’s what’s monitored:
Max Daily Loss
• 10k Account: $500
• 25k Account: $1,250
• 50k Account: $2,500
• 100k Account: $5,000
• 200k Account: $10,000
Max Total Loss
• 10k Account: $1,000
• 25k Account: $2,500
• 50k Account: $5,000
• 100k Account: $10,000
• 200k Account: $20,000
Profit Target
• 10k Account: $1,000
• 25k Account: $2,500
• 50k Account: $5,000
• 100k Account: $10,000
• 200k Account: $20,000
Minimum Trading Days: 4 consecutive days for all account sizes
🔹 Key Features
1. Real-Time Compliance Check
The FTMO Rules Monitor keeps track of your daily and total losses, profit targets, and trading days. Each metric updates in real-time, giving you peace of mind that you’re within FTMO’s rules.
2. Color-Coded Visual Feedback
Each rule’s status is shown clearly with a ✓ for compliance or ✗ if the limit is breached. When a rule is broken, the indicator highlights it in red, so there’s no confusion.
3. Completion Notification
Once all FTMO requirements are met, the indicator closes all open positions and displays a celebratory message on your chart, letting you know you’ve successfully completed the challenge.
4. Easy-to-Read Table
A table on your chart provides an overview of each rule, your target, current performance, and whether you’re meeting each goal. The table adjusts its color scheme based on your chart settings for optimal visibility.
5. Dynamic Position Sizing
Integrated ATR-based position sizing helps you manage risk and avoid large drawdowns, ensuring each trade aligns with FTMO’s risk management principles.
Daveatt
