Oversold RSI with Tight Stop-Loss Strategy (by Coinrule)KRAKEN:LINKUSD
This is one of the best strategies that can be used to get familiar with technical indicators and start to include them in your rules on Coinrule .
ENTRY
1. This trading system uses the RSI (Relative Strength Index) to anticipate good points to enter positions. RSI is a technical indicator frequently used in trading. It works by measuring the speed and change of price movements to determine whether a coin is oversold (indicating a good entry point) or overbought (indicating a point of exit/entry for a short position). The RSI oscillates between 0 and 100 and is traditionally considered overbought when over 70 and oversold when below 30.
2. To pick the right moment to buy, the strategy enters a trade when the RSI falls below 30 indicating the coin is oversold and primed for a trend reversal.
EXIT
The strategy then exits the position when the price appreciates 7% from the point of entry. The position also maintains a tight stop-loss and closes the position if the price depreciates 1% from the entry price. The idea behind this is to cut your losing trades fast and let your winners ride.
The best time frame for this strategy based on our back testing data is the daily. Shorter time frames can also work well on certain coins, however in our experience, the daily works best. Feel free to experiment with this script and test it on a variety of your coins! With our back testing data a trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange by volume. In the example shown, this strategy made a handsome net profit of 52.6% on Chainlink with 66.67% of trades being profitable.
You can execute this strategy on your favorite exchanges with Coinrule .
Cari skrip untuk "daily"
Creentrend Pressure SignalsThe hull moving average is my favorite moving average, as well as slower (55ma Bollinger Bands dev@(1.618)) is my favorite standard deviation indicator. Lets combine the two to evaluate overbought, oversold, and pressure.
Use for all time frames- I PREFER daily.
Bollinger band MA at 55
Hull ma at 55
The Hull is more reactive and faster than any band on the BB (both at 55)
When HULL closes BELOW LOWER BAND- it will print a buy signal, remember- over sold and overbought in VOLATILITY could be dangerous on low time frames, as swift moves typically have short term reversals but return to the main trend eventually, this is why i reccomend daily candles.
When PRICE closes ABOVE UPPER BOLLINGER BAND- it will print a green ^ signal under candle indicating upward pressure.
When HULL closes ABOVE UPPER BOLLINGER BAND- it will print a red resistance line. Complex tops happen a lot with bitcoin so take a 1-5% stop above it if shorting.
Simple Trader - LevelsThis indicator plots the below levels in the chart.
Note: This is not a buy/sell recommendation. Reach Simple Trader to understand how to trade these levels.
Current day open,
Prev. day close,
Prev. day high,
Prev. day low.
Prev. week high,
Prev. week low,
Prev. month high,
Prev. month low.
Ehlers Moving Average Difference Indicator [CC]The Moving Average Difference Indicator was created by John Ehlers (Stocks and Commodities Oct 2021 pg 23) and this is essentially his version of the famous MACD indicator. He calls this indicator the "thinking mans" MACD because his thought process for creating the lengths is based on half of the period of the dominant cycle. These are the default lengths that he created but feel free to test it out with your own variations and please let me know if you come up with a better one. I'm sorry for my long delay from TV. Sometimes I just need to step away and collect my thoughts before I burn myself out with the many scripts I keep publishing daily. I will try to get back into publishing daily again because I have a personal backlog of over 50 scripts ready to go that I haven't published yet. As always I have included strong buy and sell signals in addition to normal ones so darker colors are strong and lighter colors are normal. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Multi Range VWAP PivotsMulti Range VWAP Pivots turned out to be one of my most accurate pivot indicators to date!
Multi Range VWAP Pivots works by recognizing the high and low of the timeframe selected (D, W, M, 6M, and 12M) and plotting range high to VWAP averages and range low to VWAP averages.
After further examination of each completed range, I came to the conclusion that due to the nature of averages, high and low respectively would need to be completed within the current range, for the averages to actually display pivots correctly. This means that if all averages appear to be "pivoting" correctly after or during a break lower of higher, then we can only assume the most recent break higher or lower could be exhaustion and price will be reverted to the mean (VWAP). OR, this could be the most accurate hindsight indicator on the planet.
*DISCLAIMER*: This indicator repaints. DO NOT backtest or set alerts with this indicator.
Williams %R Color MapThis script is used to have a quick view for my triple screen trading system.
I use it in 1 hour chart so that the higher timeframe is 5-hour and daily.
Visual for the current price on which fib area of 5-hour and daily chart.
EMA BANDS//Trades have been checked periodically on daily charts with normal, basically, you'll set in trades for weeks, months, and years in some cases depending on the time frame and strategy you use, DO NOT TRADE ON MARGIN INTEREST WILL RUIN YOU.
//You can use the strategies on lower timeframes, however, you'll need to be able to execute trades during all market hours if you choose anything less than a daily.
//You MUST stay in your trade until the very end. that means even if you open the trade and you're super in red DON'T DUMP.
//Set stop losses to no more than 50% of your entry price. Less is better but understand that you may be stomped out of a trade that could reverse after a 40-49% pullback.
//I suggest you pull initial capital out after you 2x to lock in your profit.
//You must also have the ability to sell/buy after market hours, you'll make your trades generally one-two hours post-market in most cases.
//The green line gives a simple average of the last 1618 candles. The further price action is from the mean, the more the price will be pulled back. (Ideally)
//Strategy One (Safe/Slow)
//Buy when the closing price is less than the lower bounds of all bands. This does not include the green "Mean" line
//Sell when the closing price is greater than the upper bounds of all bands. Again, this does not include the green "Mean" line
//Strategy Two (Neutral)
//Buy when the closing price is less than the bounds of 3-4 out of the 4 bands.
//Sell when the closing price is greater than the bounds of 3-4 out of the 4 bands.
//This means that you execute trades even if the closing price is still within one band.
//You'll still execute orders even if the closing price is outside of all bands
//Strategy Three (Least Safe/Fast)
//Buy when the closing price is less than the bounds of 2-4 out of the 4 bands.
//Sell when the closing price is greater than the bounds of 2-4 out of the 4 bands.
//This means that you execute trades even if the closing price is still within two bands.
//You'll still execute orders even if the closing price is outside of all bands
//You'll still execute orders even if the closing price is outside of 3 of 4 bands
RSI EMA SMA StratThis script looks at the RSI EMA and RSI SMA crossovers when above a certain price EMA
It was mainly written for swingtrading and only for long positions on a daily timeframe for BTC and ETH. They idea is to have a script that indicates when to convert your BTC /ETC to a stable coin and when to buy in again.
You could try to use it for other positions (short, long, etc..) and other coins but I didn't test these.
When the RSI EMA & SMA hover around 50 for a few days in flat lines and you get a buy signal it may be best to wait a few days longer to see what direction they take.
The default values for RSI EMA , RSI SMA and price EMA gave the best return (start out with an amount of x coins in 2015 and end up with the biggest possible amount of coins today). Again, this was only tested on daily. Feel free to tweak these when using other timeframes or other coins
Moving Average Over Timea simple moving average and an exponential moving average that change periods along with temporality: WEEKLY: MA48, EMA24; DAILY: MA21, EMA11; H4: MA30, EMA15; H1: MA120, EMA30.
Trend AnalyzerA simple script that plots difference between 2 moving averages and depicts convergance/divergance in color coded format.
Anything <= 0 is red and shows a bearish trend whereas > 0 is green and shows bullish trend.
Adjust the input parameters as following for your preferred time frame :
4-Hr: Exponential, 15, 30
Daily: Exponential, 10, 20
Weekly: Exponential, 5, 10
market phases - JDThis indicator shows the relation of price against different period ma's.
When put in daily Timeframe it gives the 1400 Day (= 200 Weekly) and the 200 ,100 an 50 Daily.
The lines show the 200,100 and 50 ma in relation to the 1400 ma.
JD.
#NotTradingAdvice #DYOR
Hour/Day/Month Optimizer [CHE] Hour/Day/Month Optimizer — Bucketed seasonality ranking for hours, weekdays, and months with additive or compounded returns, win rate, simple Sharpe proxy, and trade counts
Summary
This indicator profiles time-of-day, day-of-week, and month-of-year behavior by assigning every bar to a bucket and accumulating its return into that bucket. It reports per-bucket score (additive or compounded), win rate, a dispersion-aware return proxy, and trade counts, then ranks buckets and highlights the current one if it is best or worst. A compact on-chart table shows the top buckets or the full ranking; a last-bar label summarizes best and worst. Optional hour filtering and UTC shifting let you align buckets with your trading session rather than exchange time.
Motivation: Why this design?
Traders often see repetitive timing effects but struggle to separate genuine seasonality from noise. Static averages are easily distorted by sample size, compounding, or volatility spikes. The core idea here is simple, explicit bucket aggregation with user-controlled accumulation (sum or compound) and transparent quality metrics (win rate, a dispersion-aware proxy, and counts). The result is a practical, legible seasonality surface that can be used for scheduling and filtering rather than prediction.
What’s different vs. standard approaches?
Reference baseline: Simple heatmaps or average-return tables that ignore compounding, dispersion, or sample size.
Architecture differences:
Dual aggregation modes: additive sum of bar returns or compounded factor.
Per-bucket win rate and trade count to expose sample support.
A simple dispersion-aware return proxy to penalize unstable averages.
UTC offset and optional custom hour window.
Deterministic, closed-bar rendering via a lightweight on-chart table.
Practical effect: You see not only which buckets look strong but also whether the observation is supported by enough bars and whether stability is acceptable. The background tint and last-bar label give immediate context for the current bucket.
How it works (technical)
Each bar is assigned to a bucket based on the selected dimension (hour one to twenty-four, weekday one to seven, or month one to twelve) after applying the UTC shift. An optional hour filter can exclude bars outside a chosen window. For each bucket the script accumulates either the sum of simple returns or the compounded product of bar factors. It also counts bars and wins, where a win is any bar with a non-negative return. From these, it derives:
Score: additive total or compounded total minus the neutral baseline.
Win rate: wins as a percentage of bars in the bucket.
Dispersion-aware proxy (“Sharpe” column): a crude ratio that rises when average return improves and falls when variability increases.
Buckets are sorted by a user-selected key (score, win rate, dispersion proxy, or trade count). The current bar’s bucket is tinted if it matches the global best or worst. At the last bar, a table is drawn with headers, an optional info row, and either the top three or all rows, using zebra backgrounds and color-coding (lime for best, red for worst). Rendering is last-bar only; no higher-timeframe data is requested, and no future data is referenced.
Parameter Guide
UTC Offset (hours) — Shifts bucket assignment relative to exchange time. Default: zero. Tip: Align to your local or desk session.
Use Custom Hours — Enables a local session window. Default: off. Trade-off: Reduces noise outside your active hours but lowers sample size.
Start / End — Inclusive hour window one to twenty-four. Defaults: eight to seventeen. Tip: Widen if rankings look unstable.
Aggregation — “Additive” sums bar returns; “Multiplicative” compounds them. Default: Additive. Tip: Use compounded for long-horizon bias checks.
Dimension — Bucket by Hour, Day, or Month. Default: Hour. Tip: Start Hour for intraday planning; switch to Day or Month for scheduling.
Show — “Top Three” or “All”. Default: Top Three. Trade-off: Clarity vs. completeness.
Sort By — Score, Win Rate, Sharpe, or Trades. Default: Score. Tip: Use Trades to surface stable buckets; use Win Rate for skew awareness.
X / Y — Table anchor. Defaults: right / top. Tip: Move away from price clusters.
Text — Table text size. Default: normal.
Light Mode — Light palette for bright charts. Default: off.
Show Parameters Row — Info header with dimension and span. Default: on.
Highlight Current Bucket if Best/Worst — Background tint when current bucket matches extremes. Default: on.
Best/Worst Barcolor — Tint colors. Defaults: lime / red.
Mark Best/Worst on Last Bar — Summary label on the last bar. Default: on.
Reading & Interpretation
Score column: Higher suggests stronger cumulative behavior for the chosen aggregation. Compounded mode emphasizes persistence; additive mode treats all bars equally.
Win Rate: Stability signal; very high with very low trades is unreliable.
“Sharpe” column: A quick stability proxy; use it to down-rank buckets that look good on score but fluctuate heavily.
Trades: Sample size. Prefer buckets with adequate counts for your timeframe and asset.
Tinting: If the current bucket is globally best, expect a lime background; if worst, red. This is context, not a trade signal.
Practical Workflows & Combinations
Trend following: Use Hour or Day to avoid initiating trades during historically weak buckets; require structure confirmation such as higher highs and higher lows, plus a momentum or volatility filter.
Mean reversion: Prefer buckets with moderate scores but acceptable win rate and dispersion proxy; combine with deviation bands or volume normalization.
Exits/Stops: Tighten exits during historically weak buckets; relax slightly during strong ones, but keep absolute risk controls independent of the table.
Multi-asset/Multi-TF: Start with Hour on liquid intraday assets; for swing, use Day. On monthly seasonality, require larger lookbacks to avoid overfitting.
Behavior, Constraints & Performance
Repaint/confirmation: Calculations use completed bars only; table and label are drawn on the last bar and can update intrabar until close.
security()/HTF: None used; repaint risk limited to normal live-bar updates.
Resources: Arrays per dimension, light loops for metric building and sorting, `max_bars_back` two thousand, and capped label/table counts.
Known limits: Sensitive to sample size and regime shifts; ignores costs and slippage; bar-based wins can mislead on assets with frequent gaps; compounded mode can over-weight streaks.
Sensible Defaults & Quick Tuning
Start: Hour dimension, Additive, Top Three, Sort by Score, default session window off.
Too many flips: Switch to Sort by Trades or raise sample by widening hours or timeframe.
Too sluggish/over-smoothed: Switch to Additive (if on compounded) or shorten your chart timeframe while keeping the same dimension.
Overfit risk: Prefer “All” view to verify that top buckets are not isolated with tiny counts; use Day or Month only with long histories.
What this indicator is—and isn’t
This is a seasonality and scheduling layer that ranks time buckets using transparent arithmetic and simple stability checks. It is not a predictive model, not a complete trading system, and it does not manage risk. Use it to plan when to engage, then rely on structure, confirmation, and independent risk management for entries and exits.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
AI Trading Alerts v6 — SL/TP + Confidence + Panel (Fixed)Overview
This Pine Script is designed to identify high-probability trading opportunities in Forex, commodities, and crypto markets. It combines EMA trend filters, RSI, and Stochastic RSI, with automatic stop-loss (SL) & take-profit (TP) suggestions, and provides a confidence panel to quickly assess the trade setup strength.
It also includes TradingView alert conditions so you can set up notifications for Long/Short setups and EMA crosses.
⚙️ Features
EMA Trend Filter
Uses EMA 50, 100, 200 for trend confirmation.
Bull trend = EMA50 > EMA100 > EMA200
Bear trend = EMA50 < EMA100 < EMA200
RSI Filter
Bullish trades require RSI > 50
Bearish trades require RSI < 50
Stochastic RSI Filter
Prevents entries during overbought/oversold extremes.
Bullish entry only if %K and %D < 80
Bearish entry only if %K and %D > 20
EMA Proximity Check
Price must be near EMA50 (within ATR × adjustable multiplier).
Signals
Continuation Signals:
Long if all bullish conditions align.
Short if all bearish conditions align.
Cross Events:
Long Cross when price crosses above EMA50 in bull trend.
Short Cross when price crosses below EMA50 in bear trend.
Automatic SL/TP Suggestions
SL size adjusts depending on asset:
Gold/Silver (XAU/XAG): 5 pts
Bitcoin/Ethereum: 100 pts
FX pairs (default): 20 pts
TP = SL × Risk:Reward ratio (default 1:2).
Confidence Score (0–4)
Based on conditions met (trend, RSI, Stoch, EMA proximity).
Labels:
Strongest (4/4)
Strong (3/4)
Medium (2/4)
Low (1/4)
Visual Panel on Chart
Shows ✅/❌ for each condition (trend, RSI, Stoch, EMA proximity, signal now).
Confidence row with color-coded strength.
Alerts
Long Setup
Short Setup
Long Cross
Short Cross
🖥️ How to Use
1. Add the Script
Open TradingView → Pine Editor.
Paste the full script.
Click Add to chart.
Save as "AI Trading Alerts v6 — SL/TP + Confidence + Panel".
2. Configure Inputs
EMA Lengths: Default 50/100/200 (works well for swing trading).
RSI Length: 14 (standard).
Stochastic Length/K/D: Default 14/3/3.
Risk:Reward Ratio: Default 2.0 (can change to 1.5, 3.0, etc.).
EMA Proximity Threshold: Default 0.20 × ATR (adjust to be stricter/looser).
3. Read the Panel
Top-right of chart, you’ll see ✅ or ❌ for:
Trend → Are EMAs aligned?
RSI → Above 50 (bull) or below 50 (bear)?
Stoch OK → Not extreme?
Near EMA50 → Close enough to EMA50?
Above/Below OK → Price position vs. EMA50 matches trend?
Signal Now → Entry triggered?
Confidence row:
🟢 Green = Strongest
🟩 Light green = Strong
🟧 Orange = Medium
🟨 Yellow = Low
⬜ Gray = None
4. Alerts Setup
Go to TradingView Alerts (⏰ icon).
Choose the script under “Condition”.
Select alert type:
Long Setup
Short Setup
Long Cross
Short Cross
Set notification method (popup, sound, email, mobile).
Click Create.
Now TradingView will notify you automatically when signals appear.
5. Example Workflow
Wait for Confidence = Strong/Strongest.
Check if market session supports volatility (e.g., XAU in London/NY).
Review SL/TP suggestions:
Long → Entry: current price, SL: close - risk_pts, TP: close + risk_pts × RR.
Short → Entry: current price, SL: close + risk_pts, TP: close - risk_pts × RR.
Adjust based on your own price action analysis.
📊 Best Practices
Use on H1 + D1 combo → align higher timeframe bias with intraday entries.
Risk only 1–2% of account per trade (position sizing required).
Filter with market sessions (Asia, Europe, US).
Strongest signals work best with trending pairs (e.g., XAUUSD, USDJPY, BTCUSD).
Percent Change of Day [ilovealgotrading]
OVERVIEW:
This indicator aims to effectively show us the percentage change of the price within the time frame we have chosen.
What is the purpose of this indicator?
This indicator shows how the price changes for each bar at different time frames we have chosen. By examining the percentage change in different time periods, we can easily look at the change in the face of the market during the time interval. Also if the price is above or below the value of 0 during the specified time, the color of our percentage line changes.
IMPLEMENTATION DETAILS:
First of all, let's understand How to Calculate Percent Change?
The difference between the old and new value of a quantity given in percentages is known as a percent change. It's rather simple to calculate the % difference between two given quantities.
The formula is given by;
Example
The price of a kilo of rice went from 10$ to12.5$, what is the percentage change?
Explanation
• The old value of sugar = $ 10
• New value = $12.5
• Now apply the percent change formula;
• Percentage change = ×100%
= x 100%
= (2.5/10) x 100%
= 25%
In this case, the percent change is positive and therefore, it is an increase.
How Is Percentage Change Used in Finance?
In the world of finance, percentage change is frequently used to analyze changes in the value of stocks or major market indexes over time.
Percentage change is used for many purposes in finance, most notably to track the price change of stocks market and crypto market.
What can we change from the settings panel ?
We can set time frame setting of the percentage change from place number 1
We are able to adjust the changing color if the percentage change is above or below zero from place 2 and 3
ALSO:
Please do not open trades without properly managing your risk and psychology!!!
If you have any ideas what to add to my work to add more sources or make calculations cooler, suggest in DM .
Volume + VolatilityBefore I begin I want to mention:
1. This is a variation of the 'CCI & BB' made by matsu_bitmex (Link: ) and SigmaDraconis's 'On Balance Volume Oscillator + Bollinger Bands' (Link: )
2. While using this sometimes you may not notice the crossover so I've added the Line 'x' outside 'x' BB to only see if Line 3 and 4 crossed over
The indicator:
1. When the background is green and the 2 lines are going up it means uptrend
2. When the background is red and the 2 lines are going down it means downtrend
3. When there is a crossover and the background outside BB turns yellow, it means there is a lot of volatility or volume
How to use (Or how I use this):
1. All trades based on the yellow color MUST be during a trend
2. When the color changes to yellow for the 1st time in the direction of a trend it is advisable to enter
WMA Combo Crossover V2Before I begin I want to mention:
1. This is an upgrade of my indicator WMA Combo Crossover. (Link: www.tradingview.com)
2. The upgrade was inspired from the CCI and Bollinger Bands indicator by matsu_bitmex. (Link: www.tradingview.com)
3. I have combined the indictor with Bollinger Bands , coloring those sections as yellow, to increase winning trades as well as avoid losing trades by spotting potential reversals with the aid of news avoidance
4. This indicator is designed primarily for NNFX (No Nonsense Forex) though it can be used for any type of trading style
5. Also, I want to thank kurtisbu for helping me out. Thank you!
The indicator:
1. When WMA 25 is blue and is going upwards, it means there is an uptrend
2. When WMA 25 is red and is going down, it means there is a downtrend
3. During a trend, the color may switch to red and blue occasionally. When the color switches back to the direction of the trend, it can be used for re-entries
4. All trades based on the yellow color MUST be during a trend
5. When the color changes to yellow that means price is very volatile and only on the 1st candle is it advisable to enter a trade. (I have not backtested entering on the 2nd candle of a yellow color change)
6. During a trend, when the color changes to yellow and there is an incoming news event, then the chances of a reversal increase and I recommended avoid entering
LTB Zigzag CirclesHello All,
Today I am here with a new idea and script, " LTB Zigzag Circles ". The idea is to create Circles using last 2 zigzag waves and to catch the breakouts earlier than horizontal lines. if a circle is broken then the script shows entry for Long/Short positions. and if broken circle reappears again then the position is closed. You can change Zigzag period as you wish and see the different results.
Here you can see how the script calculates and draws the Circles:
Below you can see how the script draws part of the circle on each bar:
Optionally the script can show levels:
P.S. I haven't tested it as a strategy, Result and Performance may change by Zigzag period, you need to find best Zigzag period according to your strategy. By the way, my Zigzag Circles idea can be improved, if you have any recommendation let me know please ;)
Enjoy!
Simple and efficient PSAR swing strategyThis is a strategy build inside tradingview, which I found it works great with swing/position trading.
It works based on parabolic sar indicator, when indicator is below the candle, is an uptrend and when its its above is a downtrend.
At the same time it's very nice, because it has a sort of stop loss which is dynamic, because it triggers when candle crosses with indicator, so you dont have to worry about stop loss or take profit .
The key here of course, is going to be the risk management, if you want to success with it, never trade more than 2% of you capital, and if you want you can always apply a rule inside the code to close all position if x % amount of equity was going down, although I recommend have patience and let the system do its job.
I recommend this strategy to be used with charts like 1 day or 1 week. If you need and want I can convert it to an indicator that uses alerts (although with strategy as well can be made to send alerts).
PS. When you add this strategy on chart, inside is has different versions, if you use first version(1), it uses the system I explain above. If you use the last one, its based on risk management when the stop loss is the difference between psar and the candle, but it still needs some adjustments to make.
Overall first one is atm much more profitable, but I believe that the version with risk management can be much better, but it need much more adjustments to make which I dont have the time at the moment for it.
Enjoy it .
2% candlePart of my strategy involves entering a trade based on a candle on a 5-min chart being < 2% (ignoring major volatility).
I got tired of calculating the range of a single candle either in my head or on a calculator, so I wrote this up. Feel free to share it.
Shows the %move of any single candle, default horizontal lines are 1% & 2%, can be changed by clicking the gear icon next to the indicator after you have added the indicator to your chart. Works on any timeframe, 5m, 1h, 1d, etc , obviously
the higher the timeframe, the larger the move.
MTF Equals v1.0MTF Equals is a professional-grade tool designed to identify significant price levels across multiple timeframes. It scans the current chart and higher timeframes (HTF) for identical highs and lows ("Equals"), which often act as price magnets or liquidity pools.
Key Features:
Multi-Timeframe Analysis: Automatically detects identical highs and lows on the current chart, as well as M5, M15, M30, H1, H4, and Daily.
NQ Auto-Detection: Specialized logic for Nasdaq (NQ) that automatically determines the ideal starting point for analysis based on volume, efficiency, and price density.
Live Statistics: Displays the number of touches and the bar distance from the first touchpoint directly on the price level.
Smart Cleaning: Levels are automatically removed once they are significantly breached by price, keeping your chart clutter-free.
Advanced Visuals: Fully customizable colors, line styles, and label positioning (e.g., Align to Margin).
How to use:
Perfect for spotting "Equal Highs/Lows" (Liquidity) or confirming institutional support and resistance zones.
PDH/PDL/PMH/PML Dashboard (Key-Levels Style PM Range)🟩 1. SHORT DESCRIPTION
Multi-ticker PDH/PDL/PMH/PML dashboard for intraday traders. Shows premarket range, PDH/PDL breaks, % change and trend classification.
🟩 2. FULL DESCRIPTION (for main body)
Use this for the Description section:
📘 Overview
This indicator provides a real-time dashboard for monitoring multiple tickers relative to key intraday levels including:
Previous Day High (PDH)
Previous Day Low (PDL)
Premarket High (PMH)
Premarket Low (PML)
% Change vs Yesterday Close
Breakout Signals
Trend Classification
Designed for intraday traders who monitor multiple names at once, this tool consolidates market-structure levels into one unified display without switching charts.
🧩 Key Features
✔ 14-symbol dashboard
✔ PDH / PDL / PMH / PML levels
✔ Break signal markers (▲ / ▼ / ●)
✔ % change column
✔ Trend direction column
✔ Extended hours premarket logic
✔ Automatic light/dark theme adaptation
✔ Built for U.S. equities
✔ Zero chart clutter — dashboard only
🧠 Level Logic
Previous Day Levels
PDH = yesterday high
PDL = yesterday low
Premarket Levels
Calculated from extended-hours session before 09:30 (New York time):
PMH = highest premarket price
PML = lowest premarket price
Levels reset daily.
📈 Signals
Break conditions:
Event Signal
Price > PDH ▲ (bullish breakout)
Price < PDL ▼ (bearish breakdown)
Price > PMH ● (premarket breakout)
Price < PML ● (premarket breakdown)
🔎 Trend Classification
Trend column simplifies direction:
Bullish: price > PDH AND price > PMH
Bearish: price < PDL AND price < PML
Neutral: otherwise
🧰 Use Cases
Useful for:
Opening drive monitoring
Liquidity sweeps / stop hunts
Reversal fades vs PDH/PDL
Sector rotation scanning
News trader watchlists
Options flow targeting
Premarket level validation
Great for prop/desk traders watching multiple names intraday.
📖 Usage Guide
Setup:
Enable extended hours for underlying symbols
Use timeframes ≥1m (1m–5m recommended)
Premarket values display once premarket prints
Recommended Workflow
Look for leaders clearing PDH/PMH
Watch laggards holding below PDL/PML
Use % change for rotation confirmation
Combine with volume/tape for execution
⚙ Data Requirements
Works with U.S. equities with extended hours feeds
Premarket not guaranteed for non-US symbols
PMH/PML will show “-” until premarket exists
📌 Limitations
Pine Script engine limits:
Request functions limited (40 calls)
Dashboard max 14 symbols (optimized for stability)
📂 Category
Suggested categories:
Indicators → Volume/Volatility
Indicators → Trend Analysis
Indicators → Market Structure
Tools → Dashboard/Scanner
🟩 3. TAGS (SEO optimized)
Paste these in tags:
PDH, PDL, PMH, PML, premarket, dashboard, scanner, intraday, breakout, liquidity, trend, stocks, equities, scanner, levels, key levels, extended hours, open drive, day trading, order flow, structure, range, opening drive, watchlist
🟩 4. LICENSE LINE (Required)
TradingView requires attribution for open licensing:
This script is published under the Mozilla Public License 2.0 (MPL 2.0).
🟩 5. SCREENSHOT GUIDE
TV moderators care a lot about screenshots.
Suggested screenshots:
✔ Dashboard visible on chart
✔ Both Light & Dark themes (shows UI adaptability)
✔ Example of premarket and PDH/PDL breaks
✔ Watchlist-style layout (multiple tickers)
Optional but increases engagement:
Opening drive examples (9:30–10:00)
Sector rotation examples
Breakout + Fade comparison
🟩 6. MODERATOR COMPLIANCE NOTES
This script:
✔ Does NOT generate buy/sell signals
✔ Does NOT imply future returns
✔ Does NOT perform risk/portfolio management
✔ Does NOT give financial advice
✔ Does NOT require broker data
✔ Does NOT violate the “commercial intent” rule
✔ Does NOT reference external paid services
✔ Does NOT plot protected labels on chart
✔ Is fully transparent and readable
This will help it pass without revision.
🟩 7. DISCLAIMER (Required for public scripts)
Add at bottom:
This indicator is for informational and educational purposes only and should not be considered financial advice. Trading involves risk.
🟩 8. OPTIONAL — “WHY IT WAS BUILT” SECTION
Adding this boosts publishing engagement & saves moderator time:
This indicator was built to solve a real workflow problem for intraday traders who monitor multiple symbols against structural levels like PDH/PDL/PMH/PML. Instead of switching charts repeatedly, the dashboard consolidates all levels and break conditions into a single view for faster execution and better decision-making.
🟩 9. OPTIONAL — TRADER PAIN POINTS (Marketing section)
Useful for retail publishing:
Many day traders struggle to track multiple tickers for opening drive setups, PDH/PDL sweeps, and premarket levels. This dashboard removes that friction by visualizing the levels and break signals across a watchlist in real time.
Arbitrage Matrix [LuxAlgo]The Arbitrage Matrix is a follow-up to our Arbitrage Detector that compares the spreads in price and volume between all the major crypto exchanges and forex brokers for any given asset.
It provides traders with a comprehensive view of the entire marketplace, revealing hidden relationships among different exchanges for the same asset and offering easy, visual comparisons.
🔶 USAGE
Arbitrage is the practice of taking advantage of price differences for the same asset across different markets. Arbitrage traders look for these discrepancies to profit from buying where it’s cheaper and selling where it’s more expensive to capture the spread.
For begginers this tool is a clear snapshot of how different markets value the same asset, making global price dynamics easy to grasp.
For advanced traders it is a powerful scanner for arbitrage setups, helping you identify where the biggest opportunities lie in real time.
Arbitrage opportunities are often short‑lived, but they can be highly profitable. By showing you where spreads exist, this tool helps traders:
Understand market inefficiencies
Avoid trading at unfavorable prices
Identify potential profit opportunities across exchanges
By default, the tool searches all the enabled sources for the asset in the chart. It uses crypto exchanges as sources for crypto assets and forex brokers for all other assets.
The data is displayed on a dashboard, which is the tool's only visual element.
Traders can enable or disable any exchange or broker from the settings panel. All are enabled by default.
🔹 Displayable Data
Traders can choose from four types of data to display: last price, last volume, average price, and average volume.
Note that price and volume data may not be available for all assets at all sources, and sources without data will not be displayed.
As the image shows, each chart displays a different type of data for the same asset. In this case, the asset is ETHUSDT.
🔹 Reading the Matrix
Traders must read the data in a row-by-column format, as shown in the following example.
Assume that we are charting BTCUSDT Daily. In the row, we have Exchange A; in the column, we have Exchange B. The data is the average price, and the value is 100. The default length for the average is 20.
It reads like this: The average BTCUSDT price over the last 20 days is $100 higher on Exchange A than on Exchange B.
If the value were -100, it would mean that the average price is $100 lower in Exchange A than in Exchange B.
🔹 Matrix Style
Traders can change the colors and disable the background gradient, which is enabled by default.
They can also fine-tune the location and dashboard size from the settings panel.
🔶 SETTINGS
Sources: Choose between crypto exchanges, forex brokers, or automatic selection based on the asset in the chart.
Average Length: Select the length for the price and volume averages.
Crypto Exchanges: Enable or disable any available exchange.
Forex Brokers: Enable or disable any available broker.
🔹 Dashboard
Data: Select the data to display.
Position: Select the dashboard location.
Size: Select the dashboard size.
🔹 Style
Bullish: Select bullish color.
Bearish: Select bearish color.
Background Gradient: Enable background gradient color.
