Arbitrage Detector [LuxAlgo]The Arbitrage Detector unveils hidden spreads in the crypto and forex markets. It compares the same asset on the main crypto exchanges and forex brokers and displays both prices and volumes on a dashboard, as well as the maximum spread detected on a histogram divided by four user-selected percentiles. This allows traders to detect unusual, high, typical, or low spreads.
This highly customizable tool features automatic source selection (crypto or forex) based on the asset in the chart, as well as current and historical spread detection. It also features a dashboard with sortable columns and a historical histogram with percentiles and different smoothing options.
🔶 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 an easy way to understand how prices can vary between markets, helping you avoid trading at a disadvantage.
For advanced traders it is a fast tool to spot arbitrage opportunities or inefficiencies that can be exploited for profit.
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
As we can see in the image, the tool consists of two main graphics: a dashboard on the main chart and a histogram in the pane below.
Both are useful for understanding the behavior of the same asset on different crypto exchanges or forex brokers.
The tool's main goal is to detect and categorize spread activity across the major crypto and forex sources. The comparison uses data from up to 19 crypto exchanges and 13 forex brokers.
🔹 Forex or Crypto
The tool selects the appropriate sources (crypto exchanges or forex brokers) based on the asset in the chart. Traders can choose which one to use.
The image shows the prices and volumes for Bitcoin and the euro across the main sources, sorted by descending average price over the last 20 days.
🔹 Dashboard
The dashboard displays a list of all sources with four main columns: last price, average price, volume, and total volume.
All four columns can be sorted in ascending or descending order, or left unsorted. A background gradient color is displayed for the sorted column.
Price and volume delta information between the chart asset and each exchange can be enabled or disabled from the settings panel.
🔹 Histogram
The histogram is excellent for visualizing historical values and comparing them with the asset price.
In this case, we have the Euro/U.S. Dollar daily chart. As we can see, the unusual spread activity detected since 2016, with values at or above 98%, is usually a good indication of increased trader activity, which may result in a key price area where the market could turn around.
By default, the histogram has the gradient and smoothing auto features enabled.
The differences are visible in the chart above. On top is an adaptive moving average with higher values for unusual activity. At the bottom is an exponential moving average with a length of 9.
The differences between the gradient and solid colors are evident. In the first case, the colors are in sync with the data values, becoming more yellow with higher values and more green with lower values. In the second case, the colors are solid and only distinguish data above or below the defined percentiles.
🔶 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.
🔹 Percentiles
Percentile Length: Select the length for the percentile calculation, or enable the use of the full dataset. Enabling this option may result in runtime errors due to exceeding the allotted resources.
Unusual % >: Select the unusual percentile.
High % >: Select the high percentile.
Typical % >: Select the typical percentile.
🔹 Dashboard
Dashboard: Enable or disable the dashboard.
Sorting: Select the sorting column and direction.
Position: Select the dashboard location.
Size: Select the dashboard size.
Price Delta: Show the price difference between each exchange and the asset on the chart.
Volume Delta: Show the volume difference between each exchange and the asset on the chart.
🔹 Style
Unusual: Enable the plot of the unusual percentile and select its color.
High: Enable the plot of the high percentile and select its color.
Typical: Enable the plot of the typical percentile and select its color.
Low: Select the color for the low percentile.
Percentiles Auto Color: Enable auto color for all plotted percentiles.
Histogram Gradient: Enable the gradient color for the histogram.
Histogram Smoothing: Select the length of the EMA smoothing for the histogram or enable the Auto feature. The Auto feature uses an adaptive moving average with the data percent rank as the efficiency ratio.
M-forex
ICT FVG + BPR + Liquidity StrategyICT-Based Strategy combining:
• 4H Fair Value Gaps (FVG) for directional bias
• Balanced Price Range (BPR) zones for entry refinement
• PDH/PDL liquidity sweeps for confirmation
• Daily swing high/low structure
• London session time windows (07:45-11:45 & 14:00-14:45 GMT)
• High-volume liquidity zone detection
• Trailing stops at 1R increments
Features:
✓ 15+ years backtested (2010-2025)
✓ Works on GBPUSD, GBPJPY, USDCAD
✓ Asymmetric risk/reward (1R-10R winners vs -1R losses)
✓ Automated entry/exit signals
✓ Full risk management (1% per trade)
Best for: Personal accounts, swing trading, education
Prop firm modifications included in comments.
Free to use & modify - Share improvements!
Created by: BacktestBay
RunRox - Pairs Screener📊 Pairs Screener is part of our premium suite for pair trading.
This indicator is designed to scan and rank the most profitable and optimal pairs for the Pairs Strategy. The screener can backtest multiple metrics on deep historical data and display results for many pairs against one base asset at the same time.
This allows you to quickly detect market inefficiencies and select the most promising pairs for live trading.
HOW DOES THIS STRATEGY WORK⁉️
The core idea of the strategy is described in detail in our main indicator Pairs Strategy from the same product line.
There you can find a full explanation of the concept, the math behind pair trading, and the internal logic of the engine.
The Pairs Screener is built on top of the same core technology as the main indicator and uses the same internal logic and calculations.
It is designed as a key companion tool to the main strategy: it helps you find tradeable pairs, evaluate current deviations, sort and filter lists of candidates, and much more. All of these features will be described in this post.
✅ KEY FEATURES
More than 400+ assets available for scanning
Forex assets
Crypto assets
Lower Timeframe Backtester Strategy support
Invert signals mode
Hedge Coefficient (position size balancing between both legs)
6 hedge modes
Stop Loss support
Take Profit support
Whitelist with your own custom asset list
Blacklist to exclude unwanted assets
Custom filters
12 tracking metrics for pair evaluation
Customizable alerts
And many other tools for fine-tuning your search
The screener runs backtests simultaneously across a large number of assets and calculates metrics automatically.
This helps you very quickly find pairs with strong structural relationships or current inefficiencies that can be used as the basis for your pair trading strategies.
⚙️ MAIN SETTINGS
The first section controls the core parameters of the screener: Score, correlation, asset groups for scanning, and other base settings. All major crypto and forex symbols are embedded directly into the screener.
Since there are more than 400 assets, it is technically impossible to analyze everything at once, so we grouped them into batches of 40 assets per group.
The workflow is simple:
Open the chart of the asset you want to use as the base ticker.
In the screener settings choose the market (Crypto or Forex).
Select a Group (for example, Group 1) and the indicator will scan all assets inside that group against your base ticker.
Then you switch to Group 2, Group 3, etc., and repeat the scan.
Embedded universe:
400+ assets total
350+ Crypto – split into 10 groups
70+ Forex – split into 3 groups
Below is a description of each setting.
🔸 Exclude Dates
Allows you to specify a period that should be excluded from analysis.
Useful for removing abnormal spikes, news events, or any non-typical segments that distort the statistics for your pairs.
🔸 Market
Defines which universe will be used to build pairs with the current main asset:
Crypto – 350+ crypto symbols
Forex – 70+ FX symbols
Whitelist – your own custom list of assets
🔸 Group
Selects the asset group to scan.
As mentioned above, assets are split into groups of about 40 instruments:
350+ Crypto → 10 groups
70+ Forex → 3 groups
The screener will calculate all metrics only for the group you select.
🔸 Lower Timeframe
This option enables deep history analysis.
Each TradingView plan has a limit on the number of visible bars (for example, 5,000 bars on the basic plan). In standard mode you would only get statistics for the last 5,000 bars of your current timeframe.
If you want a deeper backtest on a lower timeframe, you can do the following:
Suppose your target timeframe for analysis is 5 minutes.
Switch your chart to a 30-minute timeframe.
Enable Lower Timeframe in the indicator.
Select 5 minutes as the lower timeframe inside the screener.
In this mode the screener can reconstruct and analyze up to 99,000 bars of data for your assets. This allows you to evaluate pairs on a much deeper history and see whether the results are stable over a larger sample.
🔸 Method
Here you choose the deviation model:
preferred Z-Score or S-Score for your analysis,
plus you can enable Invert to search for negatively correlated pairs and calculate their profit correctly.
🔸 Period
This is the lookback period for Z/S Score.
It defines how many bars are used to calculate the deviation metric for each pair.
🔸 Correlation Period
This is the number of bars used to calculate correlation between the base asset and each candidate in the group.
The resulting correlation value is also displayed in the results table.
🔀 HEDGE COEFFICIENT
The next block of settings is related to the hedge coefficient.
This defines how much margin is allocated to each leg of the pair.
The classic approach in pair trading is to split the position equally between both assets.
For example, if you allocate 100 USD to a trade , the standard model would open 50 USD long on one asset and 50 USD short on the other.
This works well for pairs with similar volatility , such as BTCUSDT / ETHUSDT
However, if you use a pair like BTCUSDT / DOGEUSDT , the volatility of these assets is very different.
They can still be correlated, but their amplitude is not the same. While Bitcoin might move 2% , Dogecoin can move 10% over the same period.
Because of that, for pairs with strongly different volatility, we can use a hedge coefficient and, for example, enter with 30 USD on one leg and 70 USD on the other, taking the volatility difference into account.
This is the main idea behind the Hedge Coefficient section and its primary use.
The indicator includes 6 methods of calculating the coefficient:
Cumulative RMA
Beta OLS
Beta TLS
Beta EMA
RMA Range
RMA Delta
Each method uses a different formula to compute the hedge coefficient and to size the position based on different metrics of the assets.
We leave it to the trader to decide which algorithm works best for their specific pair and style.
Below are the settings inside this section:
🔹 Method
When Auto Hedge is enabled, you can select which method to use from the list above.
The chosen method will automatically calculate the hedge coefficient between the two legs.
🔹 Hedge Coefficient
This is the manual hedge ratio per trade when Auto Hedge is disabled.
By default it is set to 1, which means the position is opened 50/50 between the two assets.
🔹 Min Allowed Hedge Coef.
This is the minimum allowed hedge coefficient.
By default it is 0.2, which means the model will not go below a 20% / 80% split between the legs.
🔹 MA Length
For methods that use moving averages (for example Beta EMA), this parameter sets the period used to calculate the hedge coefficient.
💰 STRATEGY SETTINGS
This section defines the base backtesting settings for all assets in the screener.
Here you configure entries, exits, Stop Loss, and other parameters used to find the most optimal pairs for your strategy. 🔸 Commission %
In this field you set your broker’s fee percentage per trade.
The indicator automatically calculates the correct commission for each leg of every trade. You only need to input the real commission rate that your broker charges for volume. No additional manual calculations are required.
🔸 Qty $
The margin amount used for backtesting across all assets in the screener.
This margin is split between both legs of the pair either equally or according to the selected hedge coefficient.
🔸 Entry
The Z/S Score deviation level at which the backtest opens a trade for each pair.
🔸 Exit
The Z/S Score level at which the backtest closes trades for the tested assets.
🔸 Stop Loss
PnL threshold at which a trade is force-closed during the historical test.
🔸 Cooldown
Number of bars the strategy will wait after a Stop Loss before opening the next trade.
This block gives you flexible control over how your strategy is tested on 400+ assets, helping you standardize the rules and compare pairs under the exact same conditions.
🗒️ WHITELIST
In this section you can define your own custom list of assets for monitoring and backtesting.
This is useful if you want to work with symbols that are not included in the built-in lists, such as exotic crypto from smaller exchanges, specific stocks, or any custom universe 🔹 Exchange Prefix
Enter the exchange prefix used for your tickers.
Example: BINANCE, OANDA, etc.
🔹 Ticker Postfix
Enable this option if the tickers require a postfix.
Example 1: .P for Binance Futures perpetual contracts.
Example 2: USDT if you only provide the base asset in the ticker list.
🔹 Ticker List
Enter a comma-separated list of tickers to analyze.
Example 1: BTCUSDT, ETHUSDT, BNBUSDT (when the exchange prefix is set).
Example 2: BTC, ETH, BNB (when using postfix USDT).
Example 3: BINANCE:BTCUSDT.P, OANDA:EURUSD (when different exchanges are used and the prefix option is disabled).
This gives you full flexibility to build a screener universe that matches exactly the assets you trade.
⛔ BLACKLIST
In this section you can enable a blacklist of unwanted assets that should be skipped during analysis. Enter a comma-separated list of tickers to exclude from the screener:
Example 1: BTCUSDT, ETHUSDT
Example 2: BTC, ETH (all tickers that contain these symbols will be excluded)
This helps you quickly remove illiquid, noisy, or unwanted instruments from the results without changing your main groups or whitelist.
📈 DASHBOARD
This section controls the results dashboard: table position, style, and sorting logic.
Here is what you can configure:
Result Table – position of the results table on the chart.
Background / Text – colors and opacity for the table background and text.
Table Size – overall size of the results table (from 0 to 30).
Show Results – how many rows (pairs) to display in the table.
Sort by (stat) – which metric to use for sorting the results.
Available options: Profit Factor, Profit, Winrate, Correlation, Score.
This lets you quickly focus on the most interesting pairs according to the exact metric that matters most for your strategy.
📎 FILTER SETTINGS
This section lets you filter the results table by metric values.
For example, you can show only pairs with a minimum correlation of 0.8 to focus on more stable relationships. 🔸 Min Correlation
Minimum allowed correlation between the two assets over the selected lookback period.
🔸 Min Score
Minimum absolute Score (Z-Score or S-Score) required to include a pair in the results.
For example, 2.0 means only pairs with Score >= 2.0 or <= -2.0 will be displayed.
🔸 Min Winrate
Minimum win rate percentage for a pair to be included in the table.
🔸 Min Profit Factor
Minimum profit factor required for a pair to stay in the results. These filters help you quickly narrow the list down to pairs that meet your quality criteria and match your risk profile.
📌 COLUMN SELECTION
This section lets you fully customize which metrics are displayed in the results table.
You can enable or hide any column to focus only on the data you need to identify the best pairs for trading. The screener allows you to show up to 12 metrics at the same time, which gives a detailed view of pair quality. Available columns:
🔹 Exchange Prefix
Show the exchange prefix in the ticker.
🔹 Correlation
Correlation between the two assets’ prices over the lookback period.
🔹 Score
Current Score value (Z-Score or S-Score).
On lower timeframe research, Score is not displayed.
🔹 Spread
Shows spread as % change since entry.
Positive value = profit on the main position.
🔹 Unrealized PnL
Shows unrealized PnL as a $ value based on current prices.
🔹 Profit
Total profit from all trades: Gross Profit − Gross Loss.
🔹 Winrate
Percentage of profitable trades out of all executed trades.
🔹 Profit Factor
Gross Profit / Gross Loss.
🔹 Trades
Total number of trades.
🔹 Max Drawdown
Maximum observed loss from peak to trough before a new peak is made.
🔹 Max Loss
Largest loss recorded on a single trade.
🔹 Long/Short Profit
Separate profit/loss for long trades and short trades.
🔹 Avg. Trade Time
Average duration of trades.
All these metrics are designed to help you quickly identify the strongest pairs for your strategy.
You can change colors, opacity, and hide any columns that are not relevant to your workflow.
🔔 ALERT
The alert system in this screener works in a specific way.
Alerts are tied directly to the filters you set in the Filter Settings section:
Minimum Correlation
Minimum Score
Minimum Winrate
Minimum Profit Factor
You can configure alerts to trigger when a new pair appears that matches all your filter conditions. 💡 Example
You set:
Minimum Score = 3
Then you create an alert based on the screener.
When any pair reaches a Score greater than +3 or less than −3, you will receive a notification.
This is how alerts work in this screener.
The idea is to deliver the most relevant information about the current market situation without forcing you to watch the screener all the time.
Supported placeholders for alert messages: {{ticker_1}} – main ticker (the one on the chart).
{{ticker_2}} – the paired ticker listed in the table.
{{corr}} – correlation value.
{{score}} – Score value (Z-Score or S-Score).
{{time}} – bar open time (UTC).
{{timenow}} – alert trigger time (UTC). You can use these placeholders to build alert text or JSON payloads in any format required by your tools.
The screener is designed to significantly enhance your pair trading workflow: it helps you quickly identify working pairs and current market inefficiencies, and with the alert system you can react to opportunities without constantly sitting in front of the screen.
Always remember that past performance does not guarantee future results.
Use the screener data within a risk-controlled trading system and adjust position sizing according to your own risk management rules.
RunRox - Pairs Strategy🧬 Pairs Strategy is a new indicator by RunRox included in our premium subscription.
It is a specialized tool for trading pairs, built around working with two correlated instruments at the same time.
The indicator is designed specifically for pair trading logic: it helps track the relationship between two assets, identify statistical deviations, and generate signals for opening and managing long/short combinations on both legs of the pair.
Below in this description I will go through the core functions of the indicator and the main concepts behind the strategy so you can clearly understand how to apply it in your trading.
📌 CONCEPT
The core idea of pair trading is to find and trade correlated instruments that usually move in a similar way.
When these two assets temporarily diverge from each other, a trading opportunity appears.
In such moments, the relatively overvalued asset is sold (short leg), and the relatively undervalued asset is bought (long leg).
When the spread between them narrows and both instruments revert back toward their typical relationship (mean), the position is closed and the trader captures the profit from this convergence.
In practice, one leg of the pair can end up in a loss while the other generates a larger profit.
Due to the difference in performance between the two assets, the combined result of the pair trade can still be positive.
✅ KEY FEATURES:
2 deviation types (Z-Score and S-Score)
Invert signals mode
Hedge Coefficient (position size balancing between both legs)
6 hedge modes
Entries based on Score or RSI
Extra entries based on Score or Spread
Stop Loss
Take Profit
RSI Filter
RSI Pivot Mode
Built-in Backtester Strategy
Lower Timeframe Backtester Strategy
Live trade panel for current position
Equity curve chart
21 performance metrics in the backtester
2 alert types
*And many more fine-tuning options for pair trading
🔗 SCORE
Score is the core deviation metric between the two assets in the pair.
For example, if you are trading ETHUSDT/BTCUSDT, the indicator analyzes the relationship ETH/BTC, and when one leg temporarily diverges from the other, this difference is reflected in the Score value.
In other words, Score shows how much the current spread between the two instruments deviates from its typical state and is used as the main signal source for pair entries and exits.
In the screenshot above you can see how Score looks in our indicator.
Depending on how large the difference is between the two assets, the Score value can move in a range from −N to +N
When Score is in the −N zone, this is a 🟢 long zone for the first asset and a short zone for the second.
Using the ETH/BTC example: when Score is deeply negative, you open a long on ETH and a short on BTC at the same time, then close both legs when Score returns back to the 0 zone (balance between the two assets).
When Score is in the +N zone, this is a 🔴 short zone for the first asset and a long zone for the second.
In the same ETH/BTC example: when Score is strongly positive, you short ETH and long BTC, and again close both positions when Score comes back to the neutral 0 zone.
☯️ Z/S SCORE
Inside the indicator we added two different formulas for calculating the spread between the two legs of the pair: Z-Score and S-Score.
These approaches measure deviation in different ways and can produce slightly different signals depending on the chosen pair and its behavior.
This allows you to switch between Z-Score and S-Score and choose the method that gives more stable and cleaner signals for your specific instruments.
As you can see in the screenshot above, we used the same pair but applied different Score types to measure the spread and deviation from the norm.
🟣 Z-Score – generated 9 entry signals .
It reacts to price fluctuations more smoothly and usually stays within a range of approximately −8 to +8 .
🟠 S-Score – generated 5 entry signals .
It reacts to price changes more aggressively and produces wider deviations, often reaching −15 to +15 .
This gives traders the choice between a more sensitive but smoother model (Z-Score) and a more selective, stronger-deviation model (S-Score)
⁉️ HOW DOES THE STRATEGY WORK
Here is a basic example of how you can trade this pair trading strategy using our indicator and its signals.
In the classic approach the trade consists of one initial entry and several scale-ins (averaging) if the spread continues to move against the position.
The first entry is opened when Score reaches a standard deviation of −2 or +2.
If price does not revert to the mean and moves further against the position so that Score expands to −3 or +3, the strategy performs the first scale-in.
If Score extends to −4 or +4, a second scale-in is added.
If the spread grows even more and Score reaches −5 or +5, a third scale-in is executed.
In our indicator the number of averaging steps can be up to 4 scale-ins .
After that the position waits until Score returns back to the 0 level , where the whole pair position is closed.
This is the standard model of classical pair trading.
However there are many variations:
using Stop Loss and Take Profit,
exiting earlier or later than the 0 zone,
scaling in not by Score but by Spread, since Score is not linear while Spread is linear,
entering when RSI on both tickers shows opposite extremes, for example RSI 20 on one asset and RSI 80 on the other, and so on.
The number of possible trading styles for this strategy is very large.
We designed the indicator to cover as many of these variations as possible and added flexible tools so you can build your own pair trading logic on top of it.
Below is an example of a classic pair trade with two entries: one main entry and one extra entry (scale-in) .
The pair SUIUSDT / PENGUUSDT shows a high correlation, and on one of the trades the sequence looked like this:
A −2 Score deviation occurred into the long zone and triggered the Main Entry .
🔹 Main Entry
Long SUIUSDT – Margin: 5,000 USD, Entry price: 1.5708
Short PENGUUSDT – Margin: 5,000 USD, Entry price: 0.011793
Price then moved further against the position, Score went deeper into deviation, and the strategy added one extra entry.
🔸 Extra Entry
Long SUIUSDT – Margin: 5,000 USD, Entry price: 1.5938
Short PENGUUSDT – Margin: 5,000 USD, Entry price: 0.012173
The trade was closed when Score reverted back toward the 0 zone (mean reversion of the spread):
❎ Exit
SUIUSDT P&L: −403.34 USD, Exit price: 1.5184
PENGUUSDT P&L: +743.73 USD, Exit price: 0.011089
✅ Total P&L: +340.39 USD
With a total margin of 10,000 USD used per side (20,000 USD combined), this trade yielded around +1.7% on the deployed margin.
On different assets the size and speed of the spread movement will vary, but the principle remains the same.
This is just one example to illustrate how the strategy works in practice using simplified theoretical balances.
⚙️ MAIN SETTINGS
After explaining how the strategy works, we can move to the indicator settings and their logic.
The first block is Main Settings, which controls how the pair is built, how the spread is calculated, and how the backtest is performed.
The core idea of the indicator is to backtest historical data, generate entry signals, show open-position parameters, and provide all necessary metrics for both discretionary and algorithmic trading.
This is a complete framework for analyzing a pair of assets and building a trading system around them. Below I will go through the main parameters one by one.
🔹 Exclude Dates
Allows you to exclude abnormal periods in the pair’s history to remove outlier trades from the backtest.
This is useful when the market experienced extreme news events, listing spikes, or other non-typical situations that distort statistics.
🔹 Pair
Here you select the second asset for your pair.
For example, if your main chart is BTCUSDT, in this field you choose a correlated asset such as ETHUSDT, and the working pair becomes BTCUSDT / ETHUSDT.
The indicator then calculates spread, Score, and all related metrics based on this asset combination.
🔹 Lower Timeframe
This is a special mode for backtesting on a lower timeframe while using a higher timeframe chart to extend the history limit.
For example, if your TradingView plan provides only 5,000 bars of history on the current timeframe, you can switch your chart to a higher timeframe and select a lower timeframe in this setting.
The indicator will then reconstruct the pair logic using up to 99,000 bars of lower timeframe data for backtesting.
This allows you to test the pair on a much longer historical period and find more stable combinations of assets.
🔹 Method
Here you choose which deviation model you want to use: Z-Score or S-Score.
Both methods calculate spread deviation but use different formulas, which can give different signal behavior depending on the pair.
Examples of these two methods are shown earlier in this description.
🔹 Period
This parameter defines how many bars are used to calculate the average deviation for the pair.
If you set Period = 300, the indicator looks back 300 bars and calculates the typical spread deviation over that window.
For example, if the average deviation over 300 bars is around 1%, then a move to 2% or more will push Z/S Score closer to its boundary levels, since such a deviation is considered abnormal for that lookback period.
A larger Period means that only bigger deviations will be treated as anomalies.
A smaller Period makes the model more sensitive and treats smaller deviations as anomalies.
This allows you to tune how aggressive or conservative your pair trading signals should be.
🔹 Invert
This setting is used for negatively correlated pairs.
Some instruments have a positive correlation in the range from +0.8 to +1.0 (strong positive correlation), while others show a negative correlation from −0.8 to −1.0, meaning they usually move in opposite directions.
A classic example is the pair EURUSD and DXY.
As shown in the screenshot above, these instruments often have strong negative correlation due to macro factors and typically move in opposite directions: when EURUSD is rising, DXY is falling, and vice versa.
Such pairs can also be traded with our indicator.
To do this, we use the Invert option, which effectively flips one of the assets (as shown in the screenshot below). After inversion, both instruments are brought to a “same-direction” behavior from the model’s point of view.
From there, you trade the pair in the same way as a positively correlated one:
you open both legs in the same direction (both long or both short) depending on the spread and Score, and then wait for the spread between the inverted pair to converge back toward its mean.
🔀 HEDGE COEFFICIENT
The next block of settings is related to the hedge coefficient.
This defines how much margin is allocated to each leg of the pair.
The classic approach in pair trading is to split the position equally between both assets.
For example, if you allocate 100 USD to a trade , the standard model would open 50 USD long on one asset and 50 USD short on the other.
This works well for pairs with similar volatility , such as BTCUSDT / ETHUSDT
However, if you use a pair like BTCUSDT / DOGEUSDT , the volatility of these assets is very different.
They can still be correlated, but their amplitude is not the same. While Bitcoin might move 2% , Dogecoin can move 10% over the same period.
Because of that, for pairs with strongly different volatility, we can use a hedge coefficient and, for example, enter with 30 USD on one leg and 70 USD on the other, taking the volatility difference into account.
This is the main idea behind the Hedge Coefficient section and its primary use.
The indicator includes 6 methods of calculating the coefficient:
Cumulative RMA
Beta OLS
Beta TLS
Beta EMA
RMA Range
RMA Delta
Each method uses a different formula to compute the hedge coefficient and to size the position based on different metrics of the assets.
We leave it to the trader to decide which algorithm works best for their specific pair and style.
Below are the settings inside this section:
🔹 Method
When Auto Hedge is enabled, you can select which method to use from the list above.
The chosen method will automatically calculate the hedge coefficient between the two legs.
🔹 Hedge Coefficient
This is the manual hedge ratio per trade when Auto Hedge is disabled.
By default it is set to 1, which means the position is opened 50/50 between the two assets.
🔹 Min Allowed Hedge Coef.
This is the minimum allowed hedge coefficient.
By default it is 0.2, which means the model will not go below a 20% / 80% split between the legs.
🔹 MA Length
For methods that use moving averages (for example Beta EMA), this parameter sets the period used to calculate the hedge coefficient.
🛠️ STRATEGY SETTINGS
The next important block is Strategy Settings .
Here you define the core parameters used for backtesting: trading commission, position size, entry / exit logic, Stop Loss, Take Profit, and other rules that describe how you want the strategy to operate.
Below are all parameters with a detailed explanation.
🔸 Commission %
In this field you set your broker’s fee percentage per trade .
The indicator automatically calculates the correct commission for each leg of every trade. You only need to input the real commission rate that your broker charges for volume. No additional manual calculations are required.
🔸 Main Entry Mode
There are two options for the main entry:
Score - This is the primary entry method based on Z/S Score.
When Score reaches the deviation level defined in the settings below, the strategy opens the first position.
For example, if you set “Entry at 2 deviations”, the trade will be opened when Score hits ±2.
RSI Only - Alternative entry method based on RSI divergence between the two assets.
The exact RSI levels are defined in the RSI settings section below.
For example, if you set the entry threshold at 30, then when one asset has RSI below 30 and the second one has RSI above 70, the first entry will be triggered.
🔸 Extra Entries Mode
This defines how scale-ins (averaging) are executed. There are two modes:
Score - Works the same way as the main entry, but for additional entries.
For example, the main entry can be at 2 deviations, the first scale-in at 3, the second at 4, etc.
Spread - This mode uses the Spread (difference between the two assets) starting from the main entry moment.
As the spread continues to widen, the strategy can add extra entries based on spread growth rather than Score.
Since Score is a non-linear metric and Spread is linear, in some configurations averaging by Spread can produce better results than averaging by Score. This is pair- and strategy-dependent. 🔸 Entry parameters
Deviation / Spread threshold
Entry size
Main Entry – first field (deviation / spread), second field (position size)
Entry 2 – first field (deviation / spread), second field (position size)
Entry 3 – first field (deviation / spread), second field (position size)
Entry 4 – first field (deviation / spread), second field (position size)
This allows you to define up to four scaling steps with different triggers and different sizing.
🔸 Exit Level
This parameter defines at what Score level you want to exit the trade.
By default it is 0, which means the backtester closes the position when Score returns to the neutral (0) zone.
You can also use positive or negative values. Example:
Assume your main entry is configured at a 3 deviation.
You can exit at the 0 level, or you can set Exit Level = 2.
If your initial entry was at −3, the position will be closed when Score reaches +2.
If your initial entry was at +3, the position will be closed when Score reaches −2.
This approach can increase the profit per trade due to a larger captured spread, but it may also increase the holding time of the position.
🔸 Stop Loss
Here you define the maximum loss per trade in PnL units.
If a trade reaches the negative PnL value specified in this field and the Stop Loss option is enabled, the indicator will close the trade at a loss.
The Cooldown parameter sets a pause after a losing trade:
the strategy will wait a specified number of bars before opening the next trade.
🔸 Take Profit
Works similar to Stop Loss but for profit targets.
You set the desired PnL value you want to reach.
The trade will be closed when either the Take Profit target is hit or when Score reaches the exit level defined in the settings, whichever occurs first (depending on your configuration).
🔸 Show Qty in currency
When enabled, trade size is displayed in currency (USD) instead of token quantity.
This is useful for quickly understanding position size in monetary terms.
You will see this in the Current Trade panel, which is described later.
🔸 Size Rounding
Controls how many decimal places are used when rounding position size (from 0 to 10 digits after the decimal).
This is also used for the Current Trade panel so you can adjust how detailed or compact the size display should be.
📊 RSI FILTERS
This section is used for additional trade filtering.
RSI can be used in two ways:
as a primary entry signal,
or as an extra filter for entries based on Z/S Score.
If in the Strategy Settings the Main Entry Mode is set to RSI, then RSI becomes the main trigger for opening a position.
In this case a trade is opened when the RSI of the two assets reaches opposite zones.
Example:
If the threshold is set to 30, then:
when one asset has RSI below 30, and
the second asset has RSI above 70 (100 − 30),
the strategy opens the first entry.
All extra entries after that will be executed either by Spread or by Z/S Score, depending on your Extra Entries Mode.
Below are the parameters in this block:
RSI Length – standard RSI period setting.
RSI Pivot Mode – when enabled, RSI is used as an additional filter together with Z/S Score. The indicator looks for a reversal pattern on RSI (pivot behavior). If RSI forms a reversal structure, the trade is allowed to open. If not, the signal is skipped until a proper RSI pivot is formed.
Entry RSI Filter – here you define the RSI thresholds used for RSI-based entries. These are the same boundary levels described in the example above.
Overall, this section helps filter out lower-quality trades using additional RSI conditions or lets you build RSI-only entry logic based on extreme levels.
🎨 MAIN CHART STYLING
This section controls the visual appearance of trades on the main chart.
You can customize how the second asset line is drawn, as well as the icons for entries, scale-ins, and exits, including their size and style.
▫️ Price Line
This is the line that shows the price of the second asset and the relative difference between the two instruments.
You can adjust the line thickness and color to make it more readable on your chart.
▫️ Adjust Price Line by Hedge Coefficient
When this option is enabled, the second asset’s line is normalized by the hedge coefficient.
If you turn it off, the hedge coefficient will not be applied to the second asset’s line, and it will be displayed in raw form.
▫️ Entry Label
Here you can customize how the entry markers look:
choose the color, icon style, and size of the label that marks each trade entry and scale-in on the chart.
▫️ Exit Label
Similarly, you can define the color, icon style, and size of the label used for exits.
This helps visually separate entries and exits and makes it easier to read the trade history directly from the chart.
🎯 INDICATOR PANEL
This section controls the settings of the indicator panel, which works like an oscillator and allows you to visualize multiple metrics in one place.
You can flexibly enable, style, and scale each parameter.
🔹 Score
Displays the main deviation metric between the two assets.
You can customize the color and line thickness of the Score plot.
🔹 Spread
Shows the spread between the two assets.
It starts calculating from the moment the trade is opened.
You can adjust its color and thickness for better visibility.
🔹 Total Profit
Displays the cumulative profit for this pair and strategy as a line that grows (or falls) over time.
Color, opacity, and line thickness can be customized.
🔹 Unrealized PNL
Once a trade is opened, this line shows the current PnL of the active position.
It also lets you see historical drawdowns on the pair.
Color and thickness can be adjusted.
🔹 Released PNL
Shows the realized PnL of each closed trade as bars.
Useful for quickly evaluating the result of every individual trade in the backtest.
🔹 Correlation
Plots the correlation coefficient between the two assets as a graph, so you can visually track how stable or unstable the relationship between them is over time.
🔹 Hedge Coefficient
Shows the hedge coefficient as a line, which helps understand how the model is rebalancing exposure between the two legs depending on their behavior.
For each metric there is also a 📎 Stretch option.
Stretch allows you to compress or expand the scale of a specific line to visually align metrics with different ranges on the same panel and make the chart easier to read.
📈 PROFIT CHART
Since TradingView does not natively support proper backtesting for pair trading, this indicator includes its own profit curve for the pair.
You can visually see how the strategy performed over historical data: whether there were deep drawdowns, abnormal profit spikes, or stable equity growth over time. This makes it much easier to evaluate the quality of the pair and the strategy on history.
In the settings of this section you can flexibly customize how the profit chart is displayed:
labels, position of the panel, padding, and other visual details.
Everything depends on your personal preferences, so we give full control over styling:
you can adjust the look of the profit chart to match your layout or completely hide it from the chart if you do not need it.
📌 CURRENT TRADE
This section controls the current trade table.
When there is an active trade on the chart, the panel displays all key information for the open position:
direction for each ticker (long or short),
required position size for each leg,
entry price for both assets,
and real-time PnL for each leg separately,
so you always have a clear view of the current situation.
The main thing you can do with this table is customize its appearance:
you can change the size, position on the chart, background and text colors, as well as separate coloring for positive / negative PnL and different colors for long and short positions.
📅 BACKTEST RESULTS
The next key block is Backtest Results.
This results table with detailed metrics gives you an extended view of how the pair and strategy perform: win rate, profit factor, long/short breakdown, and more than 20 additional stats that help you evaluate the potential of your setup.
⚠️ First of all, it is important to note ⚠️
past performance does not guarantee future results.
Every trader must keep this in mind and factor these risks into their strategy.
The table shows metrics in three cuts:
All Entries
Main Entries
Extra Entries (scale-ins)
Core metrics:
Profit – total profit for each entry type.
Winrate – win rate for this pair.
Profit Factor – ratio of gross profit to gross loss for the strategy.
Trades – number of trades in the backtest.
Wins – number of winning trades.
Losses – number of losing trades.
Long Profit – profit generated by long positions.
Short Profit – profit generated by short positions.
Longs – total number of long trades.
Shorts – total number of short trades.
Avg. Time – average time spent in a trade.
Additional metrics for a deeper evaluation of the pair:
Correlation – current correlation between the two assets in the pair.
Bars Processed – number of bars used in the analysis.
Max Drawdown – maximum historical drawdown of the strategy.
Biggest Loss – the largest single losing trade in the backtest.
Recommended Hedge – recommended hedge coefficient based on historical behavior.
Max Spread – maximum positive spread observed in history.
Min Spread – maximum negative spread observed in history.
Avg. Max Spread – average of positive extreme spread values (above 0).
Avg. Min Spread – average of negative extreme spread values (below 0).
Avg Positive Spread – average positive spread across all trades (only values above 0).
Avg Negative Spread – average negative spread across all trades (only values below 0).
Current Spread – current spread between the assets when a trade is open.
These metrics together allow you to quickly assess how stable the pair is, how the risk/return profile looks, and whether the strategy parameters are suitable for live trading. You can fully customize this results table to fit your workflow:
hide metrics you don’t need, change colors, opacity, and other visual styles, and reorder the focus of the stats according to your trading style.
This way the backtest block can show only the metrics that matter to you most and remain clean and readable during analysis.
📣 ALERTS
The next section is dedicated to alerts.
Here you can configure all signals you need, both for manual trading and for full automation of this pair trading strategy. This block is designed to cover most practical use cases. The indicator supports two alert modes:
Single Alert – one universal custom alert for all events.
Two Alerts – separate alerts for each ticker so you can receive different messages per asset.
Available alert events:
Main Entry – when the main entry is triggered.
Entry 2 – when the first scale-in is executed.
Entry 3 – when the second scale-in is executed.
Entry 4 – when the third scale-in is executed.
Exit Alert – when the position is closed.
StopLoss Alert – when Stop Loss is hit.
TakeProfit Alert – when Take Profit is hit.
All alerts are fully customizable and support a set of placeholders for building structured messages or JSON payloads.
🔹1 Alert Type
List of supported placeholders: {{event}} – trigger name ('Entry 1', 'Exit').
{{dir_1}} – 'Long' or 'Short' for the main ticker.
{{dir_2}} – 'Long' or 'Short' for the other ticker.
{{action_1}} – 'Buy', 'Sell' or 'Close' for the main ticker.
{{action_2}} – 'Buy', 'Sell' or 'Close' for the other ticker.
{{price_1}} – price for the main ticker.
{{price_2}} – price for the other ticker.
{{qty_1}} – order size for the main ticker.
{{qty_2}} – order size for the other ticker.
{{ticker_1}} – main ticker (e.g. 'BTCUSD').
{{ticker_2}} – other ticker (e.g. 'ETHUSD').
{{time}} – candle open time in UTC.
{{timenow}} – signal time in UTC.
🔹2 Alert Type
List of supported placeholders: {{event}} – trigger name ('Entry 1', 'Exit', 'SL', 'TP').
{{action}} – 'Buy', 'Sell' or 'Close'.
{{price}} – order price.
{{qty}} – order size.
{{ticker}} – ticker (e.g. 'BTCUSD').
{{time}} – candle open time in UTC.
{{timenow}} – signal time in UTC. You can use these placeholders to build any JSON structure or custom alert text required by your trading bot, exchange API, or automation service.
In this post I’ve explained how the indicator works, the core concept behind this pair trading strategy, and shown practical examples of trades together with a detailed breakdown of each unique feature inside the tool.
We have invested a lot of work into building this indicator and we truly hope it will help you trade pair strategies more efficiently and more profitably by giving you structured, strategy-specific information that is difficult to obtain in any other way.
⚠️ Please also remember that past performance does not guarantee future results.
Always evaluate the risks, the robustness of your setup, and your own risk tolerance before entering any position, and make independent, well-considered decisions when using this or any other strategy.
Context Bundle | VWAP / EMA / Session HighLow (v6)
📌 0DTE Context Bundle (v6)
**VWAP • EMA Cloud • Session High/Low (NY / London / Asia)
The **0DTE Context Bundle** is a *decision-making overlay*, not a signal spam indicator.
It’s designed to help traders clearly see **value, trend, and liquidity levels** across **New York, London, and Asia sessions** — all in one clean, customizable tool.
Built for **NQ, ES, Gold, and FX pairs**, with a focus on **5–15-minute execution charts**.
---
## 🔹 What This Indicator Shows
### ✅ VWAP + ATR Bands
* Session VWAP (fair value)
* ATR-based extension bands (1x / 2x)
* Helps identify **overextension, mean reversion zones, and trend pullbacks**
### ✅ EMA 9 / 21 Cloud
* Visual trend and momentum filter
* Custom colors + opacity
* Identifies **trend continuation vs chop**
### ✅ Session High / Low Levels
* **New York RTH**
* **London**
* **Asia (midnight-safe)**
* Optional previous session highs/lows
* Adjustable line styles, widths, colors, and extensions
### ✅ Anchored VWAP (Optional)
* Reset by:
* Daily
* NY session start
* London session start
* Asia session start
* Useful for tracking **session-specific value shifts**
---
## 🔹 How Traders Use It
This indicator is meant to answer:
* *Are we trading at value or extension?*
* *Is the market trending or rotating?*
* *Where is liquidity likely sitting right now?*
Common use cases:
* Trend pullbacks into VWAP or EMA cloud
* Reversal setups at session highs/lows
* Session breakout + retest confirmation
* Overnight context for London and Asia sessions
---
## 🔹 Customization & Flexibility
Every component can be toggled and styled:
* Colors, widths, line styles
* Cloud up/down colors + opacity
* Session visibility and extensions
* VWAP band multipliers and ATR length
Members can adapt it to **their own style**, market, and timeframe.
---
## ⚠️ Disclaimer
This indicator is provided for **educational and informational purposes only**.
It does **not** provide financial advice or trade signals.
Always manage risk and confirm entries with your own strategy.
3 EMA with Alerts 2025This indicator plots three key EMAs (20, 50, and 200) directly on the chart, making it easy to track short-, medium-, and long-term trends. A color-coded table is displayed in the top-right corner for quick reference.
The script also includes smart alerts that trigger only when the state changes:
• 🔵 EMA 20 crossing above EMA 50 & EMA 200 → Bullish signal
• 🔴 EMA 20 crossing below EMA 50 & EMA 200 → Bearish signal
This tool is designed for traders who want clean visuals, reliable alerts, and simplified trend recognition in 2025 markets.
INSTITUTIONAL MOMENTUM [@Ash_TheTrader]⚡ The Impulse Engine: Institutional Velocity & Smart Structure System
Subtitle/Short Description: Stop looking at just Open and Close. Visualize the speed of price action, detect institutional footprints, and trade off dynamic "living" market structure that flips and burns automatically. Developed by @Ash_TheTrader.
The Hidden Dimension of Price Action
Most traders look at a standard candlestick and see four data points: Open, High, Low, and Close.
But this hides the most critical information: The struggle.
Did the buyers step in aggressively in the first 5 minutes, pushing price to highs instantly? (Institutional buying)
Or did it take 59 minutes of slow, grinding effort to reach that high? (Retail exhaustion/Trap)
Standard candles look identical in both scenarios. The Impulse Engine, developed by @Ash_TheTrader, solves this by visualizing the "Speed of Price" (Velocity) directly onto your chart, combined with a state-of-the-art, dynamic market structure system.
It’s not just an indicator; it’s a complete market X-ray.
1. The Velocity Painter: See the Speed ⚡
The core of this system is the Velocity Engine. It looks "inside" your current timeframe bar (using lower timeframe data) to calculate how fast price traveled to its extremes.
It paints the bars based on institutional urgency, allowing you to ignore the noise and focus on the momentum.
The Visual Code:
⚡ NEON CYAN (Bullish Impulse) : Aggressive buying. Price ripped from the open to the high very quickly. This is where the smart money is stepping on the gas.
⚡ NEON MAGENTA (Bearish Impulse): Aggressive selling. Price crashed from the open to the low immediately.
💤 FADED GREY (Exhaustion/Trap): The "grind." Price took a long time to reach its extremes. These are often low-momentum environments or potential traps waiting to reverse.
STANDARD GREEN/RED: Normal market flow with no significant velocity extremes.
"Trade the Neon, Ignore the Grey." — @Ash_TheTrader
2. Smart Structure: "Living" Levels 🏗️
Old-school pivot indicators clutter your chart with endless historical lines that are no longer relevant. The Impulse Engine uses a "Living Structure" algorithm that manages the lifecycle of every support and resistance level.
It only shows you the two most relevant Resistance levels (R1, R2) above price, and the two most relevant Support levels (S1, S2) below price.
Risk-Based Classification:
You choose the structure based on your trading style in the settings:
Scalp Mode: Detects short-term, 5-bar swings. (Thin dotted lines).
Trend Mode: Detects standard trend swings (21-bar). (Dashed lines).
Major Swing: Detects deep, major structural points (60-bar). (Thick solid lines).
The "Flip & Burn" Mechanic (Viral Feature) 🔥
This is where the system gets smart. It understands market mechanics:
The Flip (Role Reversal): If a Resistance level is broken by a candle close, it automatically turns Gold and becomes Support (Flip). The same applies to Support turning into Resistance. You no longer need to guess if an old level will hold from the other side.
The Burn (Auto-Cleaning): If a "Flipped" level is broken again, the system recognizes it has lost its structural integrity. The line is instantly "burned" (removed from the chart).
This ensures your chart only ever shows levels that are active and respected.
3. Whale Signs: The Footprint of Big Money 🐋
Sometimes, velocity isn't enough. You need to see raw power.
The Whale Sign feature detects massive expansions in volatility. It flags any candle whose range is significantly larger (default 2x) than the average of the previous two candles.
💚 Green Triangle + $ (Below Bar): A massive bullish expansion candle. A "Wake Up" call for longs.
❤️ Red Triangle + $ (Above Bar): A massive bearish expansion candle. A warning sign for shorts.
These often precede sustained velocity moves.
4. The Pro HUD (Heads-Up Display) 💻
In the bottom right corner, the dynamic HUD gives you a real-time health check of the current candle.
Status Header: Instantly tells you if the current candle is IMPULSE, EXHAUSTION, or NORMAL.
Live Velocity %: The exact speed score. The text color changes to Neon during impulses and fades to grey during exhaustion.
Mode Info: Reminds you which risk setting you are currently using (e.g., Mode: ).
Signature: The official @Ash_TheTrader stamp of quality.
How to Trade With The Impulse Engine
This system is designed for confluence. Never trade a signal in isolation.
📈 Strategy 1 : The "Velocity Bounce" (Trend Continuation)
Ensure the market is trending (e.g., making higher highs).
Wait for price to pull back to a Smart Support level (Cyan dashed line or Gold "Flip" line).
Trigger: Look for a Neon Cyan Impulse Candle to form right off that support level. This confirms institutions are defending the structure with speed.
📉 Strategy 2: The "Whale Breakout"
Identify a consolidation zone below a Smart Resistance level.
Trigger: A Whale Sign ($) appears on a candle that successfully closes above the Resistance level.
Confirmation: The very next candle should ideally be a Neon Impulse candle continuing the move.
Conclusion
The markets are moved by aggression and speed. By obscuring this data, standard charts put you at a disadvantage.
The Impulse Engine brings this hidden data to the forefront, combining institutional velocity detection with smart, automated market structure that reacts to price just like a professional trader would.
Trade faster, trade smarter.
Developed by @Ash_TheTrader.
(Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Always manage your risk.)
VWAP Flow ParmezanThe "Official Bank Flow VWAP" is a comprehensive trading suite designed for institutional Forex traders.
This indicator solves the problem of chart clutter by combining two critical components of liquidity: Price (Value) and Time (Sessions). It is specifically optimized for EUR/USD and GBP/USD on intraday timeframes (M5, M15), helping you identify high-probability setups where "Fair Value" meets "Volatility."
Key Features
1. Multi-Timeframe VWAP Hierarchy Unlike standard indicators, this tool visualizes the interaction between three distinct timeframes:
Daily VWAP (Dynamic Color): Your primary trend filter. Green when Bullish (Price > VWAP), Red when Bearish (Price < VWAP).
Weekly VWAP (Orange Dots): Represents the medium-term balance. Acts as a magnet for mean reversion mid-week.
Monthly VWAP (Purple Line): The institutional "line in the sand." Major support/resistance level.
2. Standard Deviation Bands (Market Balance) The indicator plots SD1 and SD2 bands around the Daily VWAP:
Inner Zone (SD1): Represents the "Fair Value" area.
Outer Bands (SD2): Represents overbought/oversold conditions. Useful for identifying mean reversion plays back to the center.
3. Official Exchange Sessions (Time) Forget confusing "killzones." This tool highlights the Official Open times for major exchanges, adjusted for Daylight Savings via New York time:
London Open (08:00 LDN): The start of European volume.
New York Open (08:00 NY): The injection of US liquidity.
London Close/Fix: The daily overlap close, often marking trend reversals.
Note: Sessions are visualized with non-intrusive black "shadow" backgrounds to keep your chart clean.
4. "Ghost" Levels (Previous VWAP) A unique feature that plots the closing VWAP level of the previous day. Institutional algorithms often target these "untested" levels as Take Profit targets or liquidity pools.
How to Use
Trend Following: If Price is above the Daily VWAP (Green) during the London Open, look for Long entries targeting the SD1/SD2 upper bands.
Mean Reversion: If Price hits the SD2 Band while far away from the Weekly VWAP, look for a reversal back to the mean.
Confluence: The strongest signals occur when price touches a key VWAP level (e.g., Weekly VWAP) specifically during the highlighted Session Start times.
Settings
Timezone: Defaults to America/New_York to automatically handle DST shifts for London/NY opens.
Visuals: Fully customizable colors and transparency. Default is set to a "Dark Mode" friendly professional palette.
NEURAL FLOW | The AI-Powered Regime Classifier [by @Ash_TheTrade📉 Stop Trading Blindly. Filter the Noise with AI.
Why do your favorite strategies work perfectly one week and bleed your account the next?
The answer is simple: Context.
A Moving Average crossover works in a trend but gets slaughtered in chop. RSI works in a range but fails in a strong breakout. Most indicators are "dumb"—they apply the same math regardless of the market's current reality.
I created Neural Flow to fix this.
Developed by @Ash_TheTrader, this isn't just another buy/sell arrow indicator. It is a sophisticated market Regime Classifier built on concepts derived from machine learning (Lorentzian Distance algorithms).
It doesn't just tell you where price is; it tells you what the market is doing.
🧠 The Concept: How It Works
The core idea behind this script is simple yet powerful: Don't trade unless the environment is right.
The Neural Flow algorithm acts like a veteran trader watching over your shoulder. It analyzes multiple "neurons" (data points representing momentum, volatility, and cyclicality) and compares the current price action to historical data.
By identifying what "state" the market is currently in, it paints your chart in real-time, acting as the ultimate filter for any strategy you use.
👁️ The 4 Market Regimes
The indicator instantly classifies the market into one of four distinct states, visualizing them with a full-chart background glow and candle painting:
1. 🐂 Bull Trend (Neon Green)
The market has clear upward momentum, healthy RSI, and strong trend orientation.
Action: Look for Long entries. Buy dips.
2. 🐻 Bear Trend (Neon Red)
The market has clear downward momentum and weak underlying metrics.
Action: Look for Short entries. Sell rallies.
3. 🚫 CHOP (Grey/Monochrome)
This is the most important feature. The AI has detected low volatility squeeze conditions or directionless ADX. This is where 80% of traders lose money due to fake-outs and whipsaws.
Action: DO NOT TRADE. Sit on your hands and preserve capital.
4. ⚡ Breakout Detected (Gold/Yellow)
The algorithm has detected a sudden, violent expansion in volatility (Bollinger Width explosion) following a period of chop. The direction is not yet confirmed, but a big move is imminent.
Action: Get ready. Watch for a transition into a Bull or Bear regime.
💻 The Glassmorphism Dashboard & AI Confidence
In the corner of your chart, you will find a futuristic, transparent "Glass UI" dashboard designed by @Ash_TheTrader.
It provides instant situational awareness without cluttering your view.
The AI Confidence Score:
This is your conviction meter. It calculates how aligned the various "neurons" of the algorithm are (ranging from 0% to 100%).
A Bull Trend with 40% Confidence might be weak and prone to reversal.
A Bull Trend with 85%+ Confidence indicates strong confluence across multiple data points.
Pro Tip from @Ash_TheTrader: Only take trades when the AI Confidence is above 75%.
🚀 How to Use This in Your Trading
This tool is designed to be versatile.
As a Strategy Filter (Recommended): Use your existing favorite strategy (e.g., MACD, SMC, Price Action). Before taking a trade, glance at the Neural Flow background.
Your strategy says Buy, but the background is Grey (Chop)? Skip the trade.
Your strategy says Sell, and the background is Red (Bear)? Take the trade with confidence.
As a Standalone System: Wait for the market to transition out of "Grey Chop" into a "Green Bull" or "Red Bear" regime. Confirm that the "AI Confidence" on the dashboard is high (>70%), and enter in the direction of the new trend.
⚙️ Settings & Customization
While the default settings are tuned for most markets, @Ash_TheTrader believes in flexibility:
Training Window: Adjust the sensitivity of the regime detection.
Visuals: Customize all colors to match your chart aesthetic.
Glass Dashboard: Move it, resize it, or turn it off completely.
Baseline EMA: Toggle the 50-period baseline reference line on or off to keep your charts ultra-clean.
A Note from the Author:
"Trading isn't about catching every move; it's about catching the right moves and staying safe during the noise. I built this tool to help me instantly recognize when to step on the gas and when to hit the brakes. I hope it brings clarity to your charts."
— @Ash_TheTrader
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Always manage your risk.
VCAI Stochastic RSI+VCAI Stoch RSI+ is a cleaned-up Stochastic RSI built with V-Core colours for faster, clearer momentum reads and more reliable OB/OS signals.
What it shows:
Purple %K line → bearish momentum strengthening
Yellow %D line → bullish momentum building and smoothing
Soft purple/yellow background bands → OB/OS exhaustion zones, not just raw 80/20 triggers
Midline at 50 → balance point where momentum shifts between bull- and bear-side control
Optional HTF mode → run Stoch RSI from any timeframe while viewing it on your current chart
How to read it:
Both lines rising out of OS → early bullish shift; pullbacks that hold direction favour continuation
Both lines falling from OB → early bearish shift; bounces into the purple OB zone can become fade setups
Lines stacked and moving together → strong, cleaner momentum
Lines crossing repeatedly → low-conviction, choppy conditions
OB/OS shading highlights exhaustion so you focus on moves with context, not every 80/20 tick
Why it’s different:
Classic Stoch RSI is hyper-sensitive and mostly noise.
VCAI Stoch RSI+ applies V-Core’s colour-driven regime logic, controlled OB/OS shading, and optional HTF smoothing so you see momentum structure instead of clutter — making it easier to judge when momentum is genuinely shifting and when it’s just another wiggle.
VCAI RSI Divergence +VCAI RSI Divergence+ is an RSI that shows trend, momentum, and divergence using V-CoresAI colour logic instead of a single white line.
What it shows:
Yellow RSI line → bullish momentum (RSI above its MA; buy-side pressure in control)
Purple RSI line → bearish momentum (RSI below its MA; sell-side pressure in control)
Thin blue line → fast RSI moving average that drives the colour flips
Dashed 70/30 lines → classic OB/OS zones
Background bands → soft purple in OB, soft yellow in OS to mark exhaustion areas
How to read it:
Yellow & rising → momentum shifting bullish; pullbacks into yellow OS band can be accumulation zones
Purple & falling → momentum shifting bearish; pushes into purple OB band can be distribution/sell zones
Hard colour flips (yellow ↔ purple) mark trend regime changes, not minor RSI noise
Divergence mode (on/off)
The divergence engine scans RSI and price pivot structure:
Bullish divergence (yellow) → price lower low + RSI higher low
Bearish divergence (purple) → price higher high + RSI lower high
Lines and tags appear only where a meaningful disagreement between price and RSI exists, giving early context for potential reversals or fade setups.
Together, the momentum colours + optional divergence mapping give a far clearer market read than a standard RSI, with zero clutter and no guesswork.
VCAI Volume LiteVCAI Volume Lite is a clean, modern take on volume analysis designed for traders who want a clearer read on participation without loading multiple indicators.
This Lite edition focuses on the essentials:
real activity vs dead sessions
expansion vs contraction
momentum shifts around breakouts and pullbacks
No hype, no filters, no hidden logic — just a straightforward volume tool rebuilt with the VCAI visual framework.
Use it to quickly spot:
stronger moves backed by genuine participation
weak pushes running on low volume
areas where momentum may stall or accelerate
Part of the VCAI Lite Series.
DeM Trend Bias Strength with Alerts (RB Trading)This tool is built to help users understand trend direction, exhaustion, and momentum shifts on the daily timeframe. It highlights when a market is transitioning from weakness to strength or strength to weakness by displaying color-coded bias bars. The script does not forecast future outcomes and should be used as an analytical aid.
Intended Usage
• Timeframe: Daily
• Instruments: Works on most FX pairs and liquid markets
• Style: Trend and bias evaluation
• Purpose: Identify early signs of momentum recovery within ongoing trends
How It Works
Bias Rotation Engine
The script measures directional pressure and smooths it into a bar display that changes color as conditions shift.
• Green bars show rising strength conditions
• Red bars show declining strength conditions
• Transitional periods often appear near market turning points and consolidation zones
This helps users visually separate healthy directional trends from weakening phases.
Trend Alignment Filter
The bars are designed to be interpreted alongside moving averages or broader trend tools. When the bars turn higher while price respects an upward structure, it often supports continuation themes. When the bars weaken during downward phases, it highlights potential areas where the trend retains control.
Identifying Exhaustion and Recovery
Repeated cycles in the bar display can highlight areas where:
• Downside pressure is fading before an upswing
• Upside pressure is fading before a pullback
• Consolidation is forming before a breakout
These transitions tend to align with moments shown in the image where the arrows mark bias shifts occurring before price acceleration.
How to Use It
• Wait for a clear color rotation before making any decisions
• Confirm with the daily trend and price structure
• Avoid using the tool by itself for entries
• Combine with support and resistance, moving averages, and candle structure
• Not intended for scalping or intraday signals
Why Daily Chart Works Best
The daily timeframe smooths out noise and gives the strength bars enough data to reveal genuine trend transitions. Higher timeframes also reduce false rotations that are common in lower timeframes.
Notes
The script does not predict or guarantee price movement. It processes historical inputs to help the user understand directional conditions. Each trader should apply their own risk plan and confirm levels before acting on any idea.
FVG Maxing - Fair Value Gaps, Equilibrium, and Candle Patterns
What this script does
This open-source indicator highlights 3-candle fair value gaps (FVGs) on the active chart timeframe, draws their midpoint ("equilibrium") line, tracks when each gap is mitigated, and optionally marks simple candle patterns (engulfing and doji) for confluence. It is intended as an educational tool to study how price interacts with imbalances.
3-candle bullish and bearish FVG zones drawn as forward-extending boxes.
Equilibrium line at 50% of each gap.
Different styling for mitigated vs unmitigated gaps.
Compact statistics panel showing how many gaps are currently active and filled.
Optional overlays for bullish/bearish engulfing patterns and doji candles.
1. FVG logic (3-candle gaps)
The script focuses on a strict 3-candle definition of a fair value gap:
Three consecutive candles with the same body direction.
The wick of candle 3 is separated from the wick of candle 1 (no overlap).
A bullish gap is created when price moves up fast enough to leave a gap between candle 1 and 3. A bearish gap is the mirror case to the downside.
In Pine, the core detection looks like this:
// Three candles with the same body direction
bull_seq = close > open and close > open and close > open
bear_seq = close < open and close < open and close < open
// Wick gap between candle 1 and candle 3
bull_gap = bull_seq and low > high
bear_gap = bear_seq and high < low
// Final FVG flags
is_bull_fvg = bull_gap
is_bear_fvg = bear_gap
For each detected FVG:
Bullish FVG range: from high up to low (gap below current price).
Bearish FVG range: from low down to high (gap above current price).
Each zone is stored in a custom FVGData structure so it can be updated when price later trades back inside it.
2. Equilibrium line (0.5 of the gap)
Every FVG box gets an optional equilibrium line plotted at the midpoint between its top and bottom:
eq_level = (top + bottom) / 2.0
right_index = extend_boxes ? bar_index + extend_length_bars : bar_index
bx = box.new(bar_index - 2, top, right_index, bottom)
eq_ln = line.new(bar_index - 2, eq_level, right_index, eq_level)
line.set_style(eq_ln, line.style_dashed)
line.set_color(eq_ln, eq_color)
You can use this line as a neutral “fair value” reference inside the zone, or as a simple way to think in terms of premium/discount within each gap.
3. Mitigation rules and styling
Each FVG stays active until price trades back into the gap:
Bullish FVG is considered mitigated when the low touches or moves below the top of the gap.
Bearish FVG is considered mitigated when the high touches or moves above the bottom of the gap.
When that happens, the script:
Marks the internal FVGData entry as mitigated.
Softens the box fill and border colors.
Optionally updates the label text from "BULL EQ / BEAR EQ" to "BULL FILLED / BEAR FILLED".
Can hide mitigated zones almost completely if you only want to see unfilled imbalances.
This allows you to distinguish between current areas of interest and zones that have already been traded through.
4. Candle pattern overlays (engulfing and doji)
For additional confluence, the script can mark simple candle patterns on top of the FVG view:
Bullish engulfing — current candle body fully wraps the previous bearish body and is larger in size.
Bearish engulfing — current candle body fully wraps the previous bullish body and is larger in size.
Doji — candles where the real body is small relative to the full range (high–low).
The detection is based on basic body and range geometry:
curr_body = math.abs(close - open)
prev_body = math.abs(close - open )
curr_range = high - low
body_ratio = curr_range > 0 ? curr_body / curr_range : 1.0
bull_engulfing = close > open and close < open and open <= close and close >= open and curr_body > prev_body
bear_engulfing = close < open and close > open and open >= close and close <= open and curr_body > prev_body
is_doji = curr_range > 0 and body_ratio <= doji_body_ratio
On the chart, they appear as:
Small triangle markers below bullish engulfing candles.
Small triangle markers above bearish engulfing candles.
Small circles above doji candles.
All three overlays are optional and can be turned on or off and recolored in the CANDLE PATTERNS group of inputs.
5. Inputs overview
The script organizes settings into clear groups:
DISPLAY SETTINGS : Show bullish/bearish FVGs, show/hide mitigated zones, box extension length, box border width, and maximum number of boxes.
EQUILIBRIUM : Toggle equilibrium lines, color, and line width.
LABELS : Enable labels, choose whether to label unmitigated and/or mitigated zones, and select label size.
BULLISH COLORS / BEARISH COLORS : Separate fill and border colors for bullish and bearish gaps.
MITIGATED STYLE : Opacity used when a gap is marked as mitigated.
STATISTICS : Toggle the on-chart FVG statistics panel.
CANDLE PATTERNS : Show engulfing patterns, show dojis, colors, and the body-to-range threshold that defines a doji.
6. Statistics panel
An optional table in the corner of the chart summarizes the current state of all tracked gaps:
Total number of FVGs still being tracked.
Number of bullish vs bearish FVGs.
Number of unfilled vs mitigated FVGs.
Simple fill rate: percentage of tracked FVGs that have been marked as mitigated.
This can help you study how a particular market tends to treat gaps over time.
7. How you might use it (examples)
These are usage ideas only, not recommendations:
Study how often your symbol mitigates gaps and where inside the zone price tends to react.
Use higher-timeframe context and then refine entries near the equilibrium line on your trading timeframe.
Combine FVG zones with basic candle patterns (engulfing/doji) as an extra visual anchor, if that fits your process.
Hope you enjoy, give your feedback in the comments!
- officialjackofalltrades
VectorCoresAI SMA + Bollinger Fusion v1VectorCoresAI — SMA + Bollinger Fusion (Free)
A clean, modern visual tool combining four key SMAs with an adaptive Bollinger structure.
This script merges two of the most widely used charting concepts into one simple, readable view:
Included
✔ SMA 21
✔ SMA 50
✔ SMA 100
✔ SMA 200
✔ Bollinger Bands with adjustable length + multiplier
✔ Adaptive “Fusion Squeeze” shading to highlight compression phases
✔ Optional visibility toggles for each SMA
✔ Lightweight, non-intrusive overlay
What this indicator is designed for
This tool helps traders quickly understand:
Trend alignment using the 21/50/100/200 SMAs
Volatility conditions around the Bollinger midline
Price compression and expansion
Early awareness of breakout environments
Clean visual structure without clutter
Everything is intentionally simple and transparent.
No predictions, no signals, no trading advice — just clean chart structure.
Why this version is unique
Instead of using standard Bollinger visuals, this Fusion edition uses subtle adaptive shading to show when the bands contract.
This makes compression zones instantly visible without overwhelming the chart.
The SMAs are fixed to widely-used trend levels, giving consistent readings across all markets and timeframes.
Who this is for
Newer traders who want a clear introduction to SMAs + Bollinger Bands
Experienced traders who want a lightweight visual tool
Anyone building structure-based strategies
Users of the VectorCoresAI suite who want a simple companion tool
Notes
This indicator is part of the VectorCoresAI Free Tools collection.
All logic is open-source and educational only.
More tools coming soon.
Universal Lot Size Calculator (Forex, Index, Metals)Multi-functional lot size calculator with support for various instruments
🎯 MAIN FEATURES:
Universal — works with Forex, indices, metals, and custom instruments
Auto-detect — automatically detects instrument type by ticker
Precise position sizing - considering risk and currency conversions
Currency conversion — automatic conversion between deposit currencies
Advanced visualization — entry, stop-loss, take-profit lines
Smart table — convenient display of all parameters
⚙️ SETTINGS GROUPS:
📈 Instrument Settings
Instrument Type — selection: Auto, Forex, Index, Metals, Custom
Custom Contract Size — manual contract size configuration
Use Manual Exchange Rate — manual rate for currency conversion
💰 Account & Risk Settings
Deposit Currency — account currency (USD, EUR, GBP, CHF, JPY)
Account Size — deposit amount
Risk in % — risk percentage from deposit
🎯 Price Levels
Entry Price — entry price
Stop Price — stop-loss price
Target Price — take-profit price
Color settings for each line
📊 Risk/Reward Settings
Manual Target Price — manual TP setting
Show R Levels — display profit levels in R multiples
Show only last R level — show only the last R level
Number of R Levels — number of R levels (1-10)
🎨 Line Styles & Table Appearance
Line style settings (solid, dashed, dotted)
Line width
Table position and size
Color schemes
📈Supported instrument types:
Forex — standard lot 100,000
Indices — E-mini futures (US100=20, SP500=50, US30=5, DAX=25)
Metals — Gold=100 oz, Silver=5000 oz
Custom — user-defined contract size
📱 KEY FEATURES:
- Auto instrument detection:
Indices: US100, SP500, US30, DAX
Metals: XAUUSD (Gold), XAGUSD (Silver)
Forex: all currency pairs
- Smart table with key parameters:
Instrument type and contract size
Account size and risk
Entry/exit prices
Calculated lot size
- Visual elements:
Dynamic level lines
Labels with profit/loss calculations
R-levels for target prices
- Currency conversion:
Automatic rate fetching
Support for USD, EUR, GBP, CHF, JPY
Manual rate setting when needed
⚠️ IMPORTANT NOTES:
Contract sizes may vary between brokers
For CFD brokers use Custom type with Contract Size = 1
During weekends currency rates may be unavailable — use manual rate
When trading in different currencies verify conversion accuracy
🚀 HOW TO USE:
Select instrument type (Auto for auto-detection)
Set deposit size and account currency
Define risk percentage (1-100%)
Specify prices for entry, stop-loss, and take-profit
Use calculated lot to open positions
⚠️ RESETTING CALCULATIONS:
To reuse the calculator with new price levels, you need to:
Right-click on the indicator's table/chart
Select "Reset Points" from the context menu
OR manually update all three price levels (Entry, Stop Loss, Take Profit) in the settings
Currency Strength Meter (8 Majors) — invincible3
📊 Currency Strength Meter (8 Majors) — Description
The Currency Strength Meter (8 Majors) calculates the relative performance of the major global currencies — USD, EUR, GBP, JPY, AUD, NZD, CAD, CHF — using aggregated logarithmic returns across all major FX pairs. Strength values are normalized on every bar, allowing users to quickly identify the strongest and weakest currencies at any moment in time.
Each currency’s strength is computed from a basket of 7 related currency pairs, smoothed with EMA, converted into z-scores, and finally normalized to a 0–100 scale for easy comparison.
A built-in table displays the real-time strength for all currencies, along with bar-to-bar delta and directional arrows.
🔶 SETTINGS
General
Broker Prefix
Select the broker symbol prefix used for pair requests (e.g., OANDA:, FX_IDC:).
Calculation Timeframe
Timeframe used to calculate the log returns of currency pairs.
Higher timeframes reduce noise, lower timeframes increase sensitivity.
Lookback Bars
Number of bars (on the calculation timeframe) used to measure logarithmic performance.
Smoothing (EMA)
Smooths currency strength with an EMA of selectable length.
Plot Lines
Option to display the normalized strength of each currency (0–100) directly on the chart.
🔹 Strength Meter Table
Show Table
Enables the on-chart strength meter table.
Show ▲▼ Delta Arrows
Displays directional arrows indicating bar-over-bar momentum:
▲ increasing strength
▼ decreasing strength
• neutral
Size
Controls the table text size (Tiny → Huge).
Layout
Shows:
Currency name & flag
Strength (0–100)
Delta (current – previous bar)
🔶 USAGE
This indicator helps traders quickly determine which currencies are strong and which are weak , and how that strength evolves over time.
Because currencies are evaluated relative to one another , trend strength becomes easier to identify across FX pairs.
Use cases include:
Finding strong vs. weak currency pair combinations
Confirming trend continuation or exhaustion
Identifying momentum shifts through the delta column
Spotting early reversals when strength begins to diverge
Comparing currency performance over multiple timeframes
📈 Example Interpretation
If the USD shows:
Strength = 82
Delta = +3 (▲)
…USD is not only strong, but also getting stronger relative to the previous bar.
If AUD shows:
Strength = 22
Delta = -5 (▼)
…AUD is weak and weakening further.
This makes strong/weak pairing intuitive:
Prefer strong vs weak pairs (e.g., USD/AUD if USD strong & AUD weak)
Avoid neutral or mixed-strength pairs
🔶 DETAILS
Currency Strength Calculation
For each currency pair, the indicator calculates the log-return over the selected lookback window.
Each currency aggregates 7 major related pairs to form a composite strength value.
The aggregated value is smoothed using EMA.
All 8 currencies are converted into z-scores, then normalized to a 0–100 scale for cross-sectional comparison.
A bar-to-bar delta is computed to reveal strengthening or weakening momentum.
This structure ensures the indicator remains stable, consistent, and highly responsive for intraday and higher-timeframe trading.
FX OSINT - Institutional Midnight Intelligence For ForexFX OSINT — Institutional Midnight Intelligence For Forex
See Your FX Charts Like an Intelligence Briefing, Not a Guess
If you’ve ever stared at EURUSD or GBPJPY and thought:
Where is the real liquidity?
Is this move sponsored by smart money or just noise?
Am I buying into premium or discount?
…then FX OSINT is designed for you.
FX OSINT (Forex Open Source Intelligence) treats the FX market the way an analyst treats an investigation:
Collect open‑source signals from price, time, and volatility.
Map out liquidity, structure, and sessions in a repeatable way.
Present them in a clean, non‑cluttered dashboard so you can read context quickly.
No rainbow spaghetti. No 12 indicators stacked on top of each other. Just structured information, midnight visuals, and a clear read on what the market is doing right now.
Why FX OSINT Exists
Many FX traders run into the same problems:
Overloaded charts – multiple indicators fighting for space, none talking to each other.
Signals with no context – arrows that ignore structure, sessions, and liquidity.
Tools not tuned for FX – generic indicators that don’t care what pair you are on.
FX OSINT brings this together into one FX‑focused framework that:
Understands structure : BOS/CHOCH, swings, and trend across multiple timeframes.
Respects liquidity : sweeps, order blocks, and FVGs with controlled visibility.
Reads volatility & ADR : how far today’s range has developed.
Knows the clock : London, New York, and key killzones.
Scores confluence : a 0–100 engine that summarizes how much is lining up.
FX OSINT is built for traders who want structured, institutional‑style logic with a disciplined, midnight‑themed UI —not flashing buy/sell buttons.
1. Midnight Dashboard — Top‑Right Intelligence Panel
This panel acts as your compact “situation room”:
CONFLUENCE — 0–100 score blending trend alignment, volatility regime, sessions, liquidity events, order blocks, FVGs, and ADR context.
REGIME — Low / Building / Normal / Expansion / Extreme, driven by ATR relationships, so you know if you’re in chop, trend, or expansion.
HTF / MTF / LTF TREND — Higher‑, medium‑, and current‑timeframe bias in one place, so you see if you are trading with or against the larger flow.
ADR USED — How much of today’s typical range has already been consumed in percentage terms.
PIP VALUE — Approximate pip size per pair, including JPY‑style pairs.
Everything is bold, legible, and color‑coded, but the layout stays minimal so you can:
Look once → understand the context.
2. Structure, BOS, CHOCH — Smart‑Money‑Style Skeleton
FX OSINT tracks swing highs and lows, then shows how structure evolves:
Trend logic based on evolving swings, not just a moving average cross.
BOS (Break of Structure) when price expands in the direction of trend.
CHOCH (Change of Character) when behavior flips and the market structure changes.
Labels are selective, not spammy . You don’t get a tag on every minor wiggle—only when structure meaningfully shifts, so it’s easier to answer:
"Are we continuing the current leg, or did something actually change here?"
3. Liquidity Sweeps, Order Blocks & FVGs — The OSINT Layer
FX OSINT treats liquidity as a key information layer:
Liquidity sweeps — Detects when price spikes through recent highs/lows and then snaps back, flagging potential stop runs.
Order blocks — The last opposite candle before a displacement move, drawn as controlled boxes with limited lifespan to avoid clutter.
Fair Value Gaps (FVGs) — Three‑candle imbalances rendered as precise zones with a cap on how many can exist at once.
Under the hood, boxes are managed so your chart does not become a wall of old zones:
// Draw Order Blocks with overlap prevention
if isBullishOB and showOrderBlocks
if array.size(obBoxes) >= maxBoxes
oldBox = array.shift(obBoxes)
box.delete(oldBox)
newBox = box.new(bar_index , low , bar_index + obvLength, high ,
border_color = bullColor, bgcolor = bullColorTransp,
border_width = 2, extend = extend.none)
array.push(obBoxes, newBox)
Box limits keep the number of zones under control.
Borders and transparency are tuned so you still see price clearly.
You end up with a curated liquidity map , rather than a chart buried under every level price has ever touched.
4. Volatility, ADR & Sessions — Time and Range Intelligence
FX OSINT runs a Volatility Regime Analyzer and an ADR engine in the background:
Volatility regime — Five states (Low → Extreme) derived from fast vs. slow ATR.
ADR bands — Daily high/mid/low projected from the current daily open.
ADR used % — How far today’s move has traveled relative to its typical range.
On the time side:
Asia, London, New York sessions are softly highlighted with a single active background to avoid overlapping colors.
Killzones (e.g., London and New York opens) can be emphasized when you want to focus on where significant moves often begin.
Together, this helps you answer:
"What time is it in the trading day?"
"How stretched are we?"
"Is expansion just starting, or are we late to the move?"
5. ICT‑Style Add‑Ons — BOS/CHOCH, Premium/Discount, and Confluence
For modern FX / ICT‑inspired workflows, FX OSINT includes:
BOS / CHOCH labels — Clear structural shifts based on swings.
Premium / Discount zones — 25%, 50%, 75% levels of the daily range, so you know if you are buying discount in an uptrend or selling premium in a downtrend.
Confluence score — A single number summarizing how many conditions line up in the current context.
Instead of replacing your plan, FX OSINT compresses your checklist into the chart:
Structure
Liquidity
Session / Time
Volatility / ADR
Higher‑timeframe alignment
When these agree, the dashboard reflects it. When they don’t, it stays neutral and lets you see the conflict.
How To Use FX OSINT
FX OSINT is not a signal bot. It is an information engine that organizes context so you can apply your own plan.
A typical workflow might look like:
Start on higher timeframes (e.g., H4/D1) to form directional bias from structure, volatility regime, and ADR context.
Move to intraday timeframes (e.g., M15/H1) around your chosen sessions (London and/or New York).
Look for confluence :
HTF / MTF / LTF trends aligned.
Price in discount for longs or premium for shorts.
Recent liquidity sweep into a meaningful OB or FVG.
Confluence score at or above a level you consider significant.
Then refine entries using BOS/CHOCH on lower timeframes according to your own risk and execution rules.
FX OSINT aims to make sure you do not enter a trade without seeing:
Where you are in the day (ADR and sessions).
Where you are in the volatility cycle (regime).
Who currently appears in control (structure and trend).
Which liquidity was just targeted (sweeps and zones).
Design Choices and Scope
FX OSINT was designed around a few clear constraints:
FX‑focused — Logic and filters tuned for FX majors, minors, exotics, and metals. It is intended for FX markets, not for every possible asset class.
Open‑source — The full Pine Script code is available so you can read it, learn from it, and adapt it to your own workflow if needed.
Clear themes — Two main visual styles (e.g., dark institutional “midnight” and a lighter accent variant) with a focus on readability, not visual noise.
Chart‑friendly — Panels use fixed areas, session highlights avoid overlapping, and boxes are capped/pruned so the chart remains usable.
FX OSINT is for only Forex pairs, not anything else!
Hope you enjoyed and remember your Open Source Intelligence Matters 😉!
-officialjackofalltrades
AI Chakra for Global Markets by Pooja🌐 AI Chakra for Global Markets by Pooja
⚡ Advanced Multi-Signal Trading Framework for Forex & Crypto
AI Chakra is a complete institutional-grade market analysis system, combining
Trend + Structure + Momentum + Volatility + Breakouts + Multi-TF Context + Smart Levels
into a single clean and powerful charting tool.
Designed especially for Forex and Crypto, where speed, precision and clarity matter most.
✨ Key Features
1️⃣ 🎯 Smart Auto Buy/Sell Signal System
Signals appear only when multiple conditions align:
✔️ Buy Sell Signals include:
🟢 Supertrend in bullish zone
💪 RSI momentum in upper strength zone
🔄 CHoCH or BOS supporting upward shift
🚀 Breakout above key levels (Prev-Day High)
⚙️ Optional filters: ADX-Volatility + RSI-MA Protection
✔️ Sell Signals include:
🔴 Supertrend bearish
📉 RSI in weakness zone
🔄 CHoCH/BOS supporting downward structure
🕳️ Breakout below previous-day low
⚙️ Optional filters for momentum validation
📌 Signals are printed as clean labels — visually distinct and easy to interpret.
2️⃣ 🧠 Smart Money Concepts (SMC Suite)
Built-in structural analysis for professional traders:
🔶 CHoCH (Change of Character)
🔷 BOS (Break of Structure)
Every CHoCH/BOS is plotted with:
Horizontal structural level
Precision labels
ATR-adjusted spacing to avoid overlap
Perfect for identifying:
✔️ Trend reversals
✔️ Continuation breaks
✔️ Manipulation zones
✔️ Smart entry areas
3️⃣ 📊 Multi-Timeframe Trend Dashboard (Top-Down View)
A clean institutional-level dashboard across:
1m ▸ 5m ▸ 15m ▸ 30m ▸ 1H ▸ 4H ▸ 1D ▸ 1W ▸ 1M
Each timeframe evaluates:
EMA alignment
VWAP alignment
Supertrend direction
Shows 🔵 Bullish, 🔴 Bearish, ⚪ Neutral
in a visually intuitive format.
4️⃣ 📐 Auto Trendline System + Breakout Detection (Optional Module)
When enabled:
Detects swing highs/lows automatically
Draws dynamic support/resistance trendlines
Uses ATR / Stdev / Linear Regression slopes
Extends lines into future
Marks Breakout events with labels
Ideal for:
✔️ Crypto volatility
✔️ Forex swings
✔️ Breakout traders
✔️ Channel/wedge detection
5️⃣ 🏛️ Institutional Levels – Traditional Pivot Points
Includes complete dynamic Support/Resistance map:
Daily / Weekly / Monthly
Quarterly / Yearly
Multi-Year levels
Adjustable:
Line width
Line color
Price labels (Left/Right)
Works perfectly for:
XAUUSD
GBPJPY
EURUSD
BTCUSDT
NAS100
US30
📌 6. Volatility & Momentum Safety Filters (Optional)
ADX Filter
Allows signals only when volatility/trend strength is acceptable
Avoids signals in low-volatility sideways markets
RSI-MA Filter
Detects fake breakouts
Evaluates RSI displacement & momentum slope
Keeps only reliable directional conditions
These filters help refine signals for Forex (high-flow sessions) and Crypto (high-volatility assets).
📌 7. Previous-Day High/Low Break Detection
A pure price-action breakout feature tuned for global markets:
Detects clean breaks of yesterday’s high (bullish strength)
Detects breaks of yesterday’s low (bearish weakness)
Auto-avoids duplicate prints
Works extremely well in:
XAUUSD
GBPJPY
BTCUSDT
ETHUSDT
Indices like NAS100 or US30
6️⃣ 📡 JSON-Ready Alerts (Webhook Compatible)
Send signals directly to:
Telegram bots
Discord servers
Custom trading bots
Automation platforms
Every Buy/Sell alert includes JSON payload support.
🌍 Optimized for Global Markets
Forex
EURUSD • GBPJPY • XAUUSD • USDJPY • GBPUSD • AUDUSD
Majors, minors, exotics supported.
Crypto
BTC • ETH • SOL • BNB • XRP • Futures & Spot.
Timeframes Supported
Scalping: 1m–15m
Intraday: 30m–4H
Swing: 1D–1W–1M
⚠️ Policy-Safe Disclaimer
This script is a technical analysis tool, not financial advice.
It does not guarantee profits or automate trading decisions.
Always verify signals with your own strategy and risk management.
🌟 Final Summary
AI Chakra unifies:
📈 Trend
🧠 Structure
🎯 Signals
💹 Momentum
🔥 Breakouts
🏛️ Institutional Levels
🧩 Multi-TF Logic
🔐 ACCESS
This version is an Invite-Only Script.
Access is granted manually.
🛡 Support
This is an invite-only indicator.
Approved users may contact the author via the “Author’s Instructions” section on TradingView for help or usage guidance.
Finlu Momentum PRO What it does
Finlu Momentum PRO analyzes real price momentum and shows when the market is entering or leaving extreme zones, highlighting potential reversals or continuations with confirmation. It plots clean visual signals and can trigger real-time alerts.
Who it’s for
Traders who want to improve their entry and exit timing while avoiding the noise of traditional oscillators.
Recommended timeframes
15 min, 1 h, 4 h
Markets
Forex, indices, gold and cryptocurrencies.
Includes
Invite-only indicator: Finlu Momentum PRO
10-minute quick-start video guide
Risk management template
How to get access
Purchase access on the official page: finlutrading.systeme.io and enter your exact TradingView username at checkout.
Alternatively, you can send me a DM on Instagram @finlu_trading with the message “Finlu Momentum PRO access” to get the instructions.
Notes
Educational use only. Single-user license. Source code is not disclosed. Redistribution or reselling is strictly prohibited.
ATM PROThe world’s strongest indicator that combines multiple indicators together, providing you with entry points, targets, and stop-loss levels with extreme accuracy. You can adjust its inputs to suit Forex and crypto pairs according to your needs. It contains these tools, and you can modify them based on your requirements.
المؤشر الاقوى عالميا الذي جمع عدة مؤشرات معا , من خلاله سيعطيك نقاط ( دخول واهداف وايقاف خسارة ) بدقة متناهية وتستطيع ان تعدل المدخلات ليتناسب مع ازواج الفوركس والكريبتو بشكل يتناسب مع ما تحتاجه
يحتوي على هذه الادوات ويمكنك تعديلها حسب متطلباتك
SHORT EMA
LONG EMA
TREND EMA
MACD SHORT
MACD LONG
MACD SIGNAL
RSI LENGTH
ATR LENGTH
VOLUME MULTIPLIER
ATR TARGET 1.2.3.4.5
STOP LOSS MULTIPLIER
BY ATM TEAM
FusionFlow Pro – Trend & Regime🌀 FusionFlow Pro — Trend & Regime
Introduction
FusionFlow Pro is a visual trend-and-regime map designed for traders who prefer clarity over noise.
It blends multiple concepts—trend direction, volatility, volume behavior, higher-timeframe bias, and a smooth neon-gradient ribbon—into a single, readable structure.
This tool was built over many revisions and experiments, and it’s offered freely for the community. The goal is simple: provide a clean way to understand market context without overwhelming the chart.
About the Indicator
FusionFlow Pro combines several market components into one display:
• Trend Engine
Two adaptive moving averages form the core directional structure. Their separation, strength, and interaction define whether the market is leaning bullish, bearish, or neutral.
• Regime Classifier
The script can interpret either ADX or Choppiness Index to determine whether conditions favor trending behavior or range-bound phases.
• Volume & Momentum Influence
Volume expansion and short-term momentum add additional context, helping highlight when market participation is rising or cooling.
• Higher-Timeframe Bias (HTF)
The option to reference a larger timeframe gives users a broader directional backdrop while still trading on their preferred interval.
• Neon Ribbon Visualization
The slow MA forms the backbone of a multi-gradient, distance-based ribbon.
When price hugs the ribbon, the fill becomes subtle and transparent; as price moves away, the ribbon becomes more visible.
This creates an intuitive sense of distance, pressure, and trend engagement.
• HUD Panel
A compact top-right panel summarizes the current trend state, regime, volume condition, HTF bias, and most recent event.
It acts as a quick reference so the chart stays readable even at fast timeframes.
Color Interpretation
FusionFlow Pro uses color to convey structure at a glance:
Ribbon Line:
• Uptrend: green-cyan tone
• Downtrend: soft red-magenta tone
• Neutral: cool gray-blue
Ribbon Fill:
A neon gradient cycles from lime → aqua → blue → violet → soft red.
The specific color is determined by the slow MA’s position inside a 50-bar normalization window.
Opacity Behavior:
• Near the ribbon: color is more pronounced
• Approaching the candles: the fill fades smoothly
• At the extremes: almost fully transparent
This tapered fade is intentional—it helps the shape remain visible without overwhelming the candles underneath.
HUD Colors:
Each HUD value shifts based on conditions—bullish, bearish, neutral, trending, choppy, strong volume, etc.—making it easy to read with peripheral vision.
Settings & Customization
FusionFlow Pro allows users to customize its behavior without assuming any specific market or style.
Different symbols—indices, crypto, commodities, forex, individual stocks—can have very different volatility and rhythm. Because of that, many traders tweak the MA lengths, ATR multiplier, volume factor, and regime settings depending on the symbol or timeframe they prefer.
Shorter lengths generally create a more reactive environment; longer lengths smooth out noise. ATR buffer and volume requirements can be increased or reduced depending on how tightly or loosely the user wants FusionFlow Pro to respond.
Instead of prescribing “best settings,” FusionFlow Pro stays neutral and flexible.
Experimenting with adjustments is part of the workflow, and finding a comfortable configuration is encouraged.
Disclaimer
This script is published purely for chart visualization and educational use.
It does not provide financial advice, does not guarantee outcomes, and should not be used as a sole basis for trading decisions.
Users remain responsible for their own analysis and risk management.
