iGTR_DailyDaily TF chart setup for index. Use it wisely with MACD or Alpha on same TF for a bigger momentum.
Based on multi TF analysis of BB & MA.
Dönemler
Baseline Entry + RSI Divergence Exit + Triangle+DiamondThis strategy focuses on low-frequency trades with high win factor and winning probability.
It uses momentum to enter trades, which is combined with moving averages and volume. It exits based on partial profit booking and when the momentum turns to the opposite direction. It can also exit on RSI divergences. First, check the backtest result for it.
I like to use it on Flockusdt.p with the parameters Stop loss—1.2, Take profit—10,10, Ema—8 42, 9, 44, while keeping the normal CVD off.
It has fantastic risk management, a Win rate of 56.52%, a win factor of 41 on a 4-hour time frame at 1000 capital, and a 0.05% commission on flockusdt on Blofin.
Session RangeThis Indicator Shows you the high, low and the midpoint for a chosen session and displays them on the chart.
You can make the following inputs:
Timezone: Choose your time zone (in UTC) to display the session correctly
Session Time: Choose the start time and end time of the session you want to have displayed.
Show Session Midpoint: Choose between displaying or not displaying the midpoint of the sessions high and low.
Extend Session Values until next Session: Choose this option if you want to display the sessions range until the next session starts. The midpoint will only be displayed if you chose "yes" at "Show Session Midpoint?"
Maximum number of bars between sessions: This is needed to ensure the correct display of the extended lines. Also this will affect the running speed of the script.
Limitations:
A higher number between bars slows down the script. What does that mean practically? If you choose to not have the sessions values displayed until the next session you can set this to 1 and the script will run as fast as it can. If you choose to display all the values until the next session you have to make sure that the number you put in is higher than the number of bars between the sessions. Otherwise the lines will be displayed backwards. As this affects the calculation speed you want to keep the number as low as possible. The default setting is 300 which is fine for 5 minute charts. On a 1 minute chart you will have to use something around 5000 depending on how long your session is.
Also the script will only run correctly if the start time of your session can be divided by the timeframe you are using. Example: you can use a 1min, 3min, 5min, or 15min chart on all sessions as they can only start every 15 minutes and 15 can be divided by all these numbers. A 2 minute timeframe will only work on sessions that start at minute 00 or 30, as 15 and 45 can not be divided by 2.
Customization and Alerts:
You can change the color of the sessions high, low, midpoint and background filling. The line style can also be changed but this might lead to a faulty display of the session.
The style of the extension lines can not be altered.
Alerts can be added for crossing the sessions high or low (after the session is finished). You do not have to display the extension lines in order to set an alert.
credit: The inspiration (especially for the look of this indicator) comes from the Asian Range by Nico948 indicator.
iFVG Pro ToolkitThe iFVG Pro Toolkit is a collaboration with @TIMELESS1_ to bring you a one stop indicator giving you the ability to filter iFVGs with things like:
- The number of max number of candles allowed before an inversion is considered invalid.
- ATR filter to filter out smaller FVGs.
- Session Filter to show only iFVGs in your trading window.
- Historical iFVGs allowed to plot.
- iFVG Entry type.
- Complete color customization
- Automated Customizable MTF Liquidity Levels.
- Liquidity Timeframe Info Table
- Toggles to enable and disable Lines, FVGs, and Entries
- SMT Divergences with a validation filter
- Alerts for iFVGs and SMTs
A little bit about iFVGs:
Inversion Fair Value Gaps occur when a previous bullish or bearish Fair Value Gap is closed through hence the 'Inversion' aspect.
This can be a very strong sign that price may reverse and sweep the opposing liquidity.
Its a great visual way to see order flow when you inverse the opposite bias momentum within just a few candles.
Waiting for a sweep of BSL or SSL and an iFVG to occur after the fact can be a strong sign that we will reverse and sweep opposing liquidity before pushing higher or lower.
A little bit about Liquidity Levels:
Liquidity levels also know as Buyside Liquidity (BSL) and Sellside Liquidity (SSL) is commonly used as targets to take profit or to look for entries due to most traders and institutions having large blocks of orders sitting in those areas which can act as a magnet for price.
A little bit about SMT Divergence:
SMT Divergences occur daily in the market.
This is when a ticker like SEED_ALEXDRAYM_SHORTINTEREST2:NQ and NYSE:ES are doing the opposite of each other.
Making the opposite highs and/or lows.
When SMTs are forming on the lows it is considered Bullish SMT Divergence which can be strong confluence to enter a long trade when an iFVG is formed before or after a sweep of liquidity or FVG.
When SMTs are forming on the highs it is considered Bearish SMT Divergence which can be strong confluence to enter a short trade when an iFVG is formed before or after a sweep of liquidity of FVG.
Box Lunedi BT (Ultimo visibile)Indicator that shows in a box the Monday's movement and marks 50% of it and can be used for a possible intraday strategy
استراتجية متوسط 50This strategy focuses on identifying precise swing highs and lows, which are treated as key horizontal levels
These levels are integrated with the 50-period moving average, and horizontal lines are automatically drawn at the intersection points between the MA and the swing levels.
The goal is to highlight critical zones where potential reversals or trend continuations may occur, helping traders make more accurate entry and exit decisions based on price behavior and structure
Fair Value Trend Model [SiDec]ABSTRACT
This pine script introduces the Fair Value Trend Model, an on-chart indicator for TradingView that constructs a continuously updating "fair-value" estimate of an asset's price via a logarithmic regression on historical data. Specifically, this model has been applied to Bitcoin (BTC) to fully grasp its fair value in the cryptocurrency market. Symmetric channel bands, defined by fixed percentage offsets around this central fair-value curve, provide a visual band within which normal price fluctuations may occur. Additionally, a short-term projection extends both the fair-value trend and its channel bands forward by a user-specified number of bars.
INTRODUCTION
Technical analysts frequently seek to identify an underlying equilibrium or "fair value" about which prices oscillate. Traditional approaches-moving averages, linear regressions in price-time space, or midlines-capture linear trends but often misrepresent the exponential or power-law growth patterns observable in many financial markets. The Fair Value Trend Model addresses this by performing an ordinary least squares (OLS) regression in log-space, fitting ln(Price) against ln(Days since inception). In practice, the primary application has been to Bitcoin, aiming to fully capture Bitcoin's underlying value dynamics.
The result is a curved trend line in regular (price-time) coordinates, reflecting Bitcoin's long-term compounding characteristics. Surrounding this fair-value curve, symmetric bands at user-specified percentage deviations serve as dynamic support and resistance levels. A simple linear projection extends both the central fair-value and its bands into the immediate future, providing traders with a heuristic for short-term trend continuation.
This exposition details:
Data transformation: converting bar timestamps into days since first bar, then applying natural logarithms to both time and price.
Regression mechanics: incremental (or rolling-window) accumulation of sums to compute the log-space fit parameters.
Fair-value reconstruction: exponentiation of the regression output to yield a price-space estimate.
Channel-band definition: establishing ±X% offsets around the fair-value curve and rendering them visually.
Forecasting methodology: projecting both the fair-value trend and channel bands by extrapolating the most recent incremental change in price-space.
Interpretation: how traders can leverage this model for trend identification, mean-reversion setups, and breakout analysis, particularly in Bitcoin trading.
Analysing the macro cycle on Bitcoin's monthly timeframe illustrates how the fair-value curve aligns with multi-year structural turning points.
DATA TRANSFORMATION AND NOTATION
1. Timestamp Baseline (t0)
Let t0 = timestamp of the very first bar on the chart (in milliseconds). Each subsequent bar has a timestamp ti, where ti ≥ t0.
2. Days Since Inception (d(t))
Define the “days since first bar” as
d(t) = max(1, (t − t0) / 86400000.0)
Here, 86400000.0 represents the number of milliseconds in one day (1,000 ms × 60 seconds × 60 minutes × 24 hours). The lower bound of 1 ensures that we never compute ln(0).
3. Logarithmic Coordinates:
Given the bar’s closing price P(t), define:
xi = ln( d(ti) )
yi = ln( P(ti) )
Thus, each data point is transformed to (xi, yi) in log‐space.
REGRESSION FORMULATION
We assume a log‐linear relationship:
yi = a + b·xi + εi
where εi is the residual error at bar i. Ordinary least squares (OLS) fitting minimizes the sum of squared residuals over N data points. Define the following accumulated sums:
Sx = Σ for i = 1 to N
Sy = Σ for i = 1 to N
Sxy = Σ for i = 1 to N
Sx2 = Σ for i = 1 to N
N = number of data points
The OLS estimates for b (slope) and a (intercept) are:
b = ( N·Sxy − Sx·Sy ) / ( N·Sx2 − (Sx)^2 )
a = ( Sy − b·Sx ) / N
All‐Time Versus Rolling‐Window Mode:
All-Time Mode:
Each new bar increments N by 1.
Update Sx ← Sx + xN, Sy ← Sy + yN, Sxy ← Sxy + xN·yN, Sx2 ← Sx2 + xN^2.
Recompute a and b using the formulas above on the entire dataset.
Rolling-Window Mode:
Fix a window length W. Maintain two arrays holding the most recent W values of {xi} and {yi}.
On each new bar N:
Append (xN, yN) to the arrays; add xN, yN, xN·yN, xN^2 to the sums Sx, Sy, Sxy, Sx2.
If the arrays’ length exceeds W, remove the oldest point (xN−W, yN−W) and subtract its contributions from the sums.
Update N_roll = min(N, W).
Compute b and a using N_roll, Sx, Sy, Sxy, Sx2 as above.
This incremental approach requires only O(1) operations per bar instead of recomputing sums from scratch, making it computationally efficient for long time series.
FAIR‐VALUE RECONSTRUCTION
Once coefficients (a, b) are obtained, the regressed log‐price at time t is:
ŷ(t) = a + b·ln( d(t) )
Mapping back to price space yields the “fair‐value”:
F(t) = exp( ŷ(t) )
= exp( a + b·ln( d(t) ) )
= exp(a) · ^b
In other words, F(t) is a power‐law function of “days since inception,” with exponent b and scale factor C = exp(a). Special cases:
If b = 1, F(t) = C · d(t), which is an exponential function in original time.
If b > 1, the fair‐value grows super‐linearly (accelerating compounding).
If 0 < b < 1, it grows sub‐linearly.
If b < 0, the fair‐value declines over time.
CHANNEL‐BAND DEFINITION
To visualise a “normal” range around the fair‐value curve F(t), we define two channel bands at fixed percentage offsets:
1. Upper Channel Band
U(t) = F(t) · (1 + α_upper)
where α_upper = (Channel Band Upper %) / 100.
2. Lower Channel Band
L(t) = F(t) · (1 − α_lower)
where α_lower = (Channel Band Lower %) / 100.
For example, default values of 50% imply α_upper = α_lower = 0.50, so:
U(t) = 1.50 · F(t)
L(t) = 0.50 · F(t)
When “Show FV Channel Bands” is enabled, both U(t) and L(t) are plotted in a neutral grey, and a semi‐transparent fill is drawn between them to emphasise the channel region.
SHORT‐TERM FORECAST PROJECTION
To extend both the fair‐value and its channel bands M bars into the future, the model uses a simple constant‐increment extrapolation in price space. The procedure is:
1. Compute Recent Increments
Let
F_prev = F( t_{N−1} )
F_curr = F( t_N )
Then define the per‐bar change in fair‐value:
ΔF = F_curr − F_prev
Similarly, for channel bands:
U_prev = U( t_{N−1} ), U_curr = U( t_N ), ΔU = U_curr − U_prev
L_prev = L( t_{N−1} ), L_curr = L( t_N ), ΔL = L_curr − L_prev
2. Forecasted Values After M Bars
Assuming the same per‐bar increments continue:
F_future = F_curr + M · ΔF
U_future = U_curr + M · ΔU
L_future = L_curr + M · ΔL
These forecasted values produce dashed lines on the chart:
A dashed segment from (bar_N, F_curr) to (bar_{N+M}, F_future).
Dashed segments from (bar_N, U_curr) to (bar_{N+M}, U_future), and from (bar_N, L_curr) to (bar_{N+M}, L_future).
Forecasted channel bands are rendered in a subdued grey to distinguish them from the current solid bands. Because this method does not re‐estimate regression coefficients for future t > t_N, it serves as a quick visual heuristic of trend continuation rather than a precise statistical forecast.
MATHEMATICAL SUMMARY
Summarising all key formulas:
1. Days Since Inception
d(t_i) = max( 1, ( t_i − t0 ) / 86400000.0 )
x_i = ln( d(t_i) )
y_i = ln( P(t_i) )
2. Regression Summations (for i = 1..N)
Sx = Σ
Sy = Σ
Sxy = Σ
Sx2 = Σ
N = number of data points (or N_roll if using rolling‐window)
3. OLS Estimator
b = ( N · Sxy − Sx · Sy ) / ( N · Sx2 − (Sx)^2 )
a = ( Sy − b · Sx ) / N
4. Fair‐Value Computation
ŷ(t) = a + b · ln( d(t) )
F(t) = exp( ŷ(t) ) = exp(a) · ^b
5. Channel Bands
U(t) = F(t) · (1 + α_upper)
L(t) = F(t) · (1 − α_lower)
with α_upper = (Channel Band Upper %) / 100, α_lower = (Channel Band Lower %) / 100.
6. Forecast Projection
ΔF = F_curr − F_prev
F_future = F_curr + M · ΔF
ΔU = U_curr − U_prev
U_future = U_curr + M · ΔU
ΔL = L_curr − L_prev
L_future = L_curr + M · ΔL
IMPLEMENTATION CONSIDERATIONS
1. Time Precision
Timestamps are recorded in milliseconds. Dividing by 86400000.0 yields days with fractional precision.
For the very first bar, d(t) = 1 ensures x = ln(1) = 0, avoiding an undefined logarithm.
2. Incremental Versus Sliding Summation
All‐Time Mode: Uses persistent scalar variables (Sx, Sy, Sxy, Sx2, N). On each new bar, add the latest x and y contributions to the sums.
Rolling‐Window Mode: Employs fixed‐length arrays for {x_i} and {y_i}. On each bar, append (x_N, y_N) and update sums; if array length exceeds W, remove the oldest element and subtract its contribution from the sums. This maintains exact sums over the most recent W data points without recomputing from scratch.
3. Numerical Robustness
If the denominator N·Sx2 − (Sx)^2 equals zero (e.g., all x_i identical, as when only one day has passed), then set b = 0 and a = Sy / N. This produces a constant fair‐value F(t) = exp(a).
Enforcing d(t) ≥ 1 avoids attempts to compute ln(0).
4. Plotting Strategy
The fair‐value line F(t) is plotted on each new bar. Its color depends on whether the current price P(t) is above or below F(t): a “bullish” color (e.g., green) when P(t) ≥ F(t), and a “bearish” color (e.g., red) when P(t) < F(t).
The channel bands U(t) and L(t) are plotted in a neutral grey when enabled; otherwise they are set to “not available” (no plot).
A semi‐transparent fill is drawn between U(t) and L(t). Because the fill function is executed at global scope, it is automatically suppressed if either U(t) or L(t) is not plotted (na).
5. Forecast Line Management
Each projection line (for F, U, and L) is created via a persistent line object. On successive bars, the code updates the endpoints of the same line rather than creating a new one each time, preserving chart clarity.
If forecasting is disabled, any existing projection lines are deleted to avoid cluttering the chart.
INTERPRETATION AND APPLICATIONS
1. Trend Identification
The fair‐value curve F(t) represents the best‐fit long‐term trend under the assumption that ln(Price) scales linearly with ln(Days since inception). By capturing power‐law or exponential patterns, it can more accurately reflect underlying compounding behavior than simple linear regressions.
When actual price P(t) lies above U(t), it may be considered “overextended” relative to its long‐term trend; when price falls below L(t), it may be deemed “oversold.” These conditions can signal potential mean‐reversion or breakout opportunities.
2. Mean‐Reversion and Breakout Signals
If price re‐enters the channel after touching or slightly breaching L(t), some traders interpret this as a mean‐reversion bounce and consider initiating a long position.
Conversely, a sustained move above U(t) can indicate strong upward momentum and a possible bullish breakout. Traders often seek confirmation (e.g., price remaining above U(t) for multiple bars, rising volume, or corroborating momentum indicators) before acting.
3. Rolling Versus All‐Time Usage
All‐Time Mode: Captures the entire dataset since inception, focusing on structural, long‐term trends. It is less sensitive to short‐term noise or volatility spikes.
Rolling‐Window Mode: Restricts the regression to the most recent W bars, making the fair‐value curve more responsive to changing market regimes, sudden volatility expansions, or fundamental shifts. Traders who wish to align the model with local behaviour often choose W so that it approximates a market cycle length (e.g., 100–200 bars on a daily chart).
4. Channel Percentage Selection
A wider band (e.g., ±50 %) accommodates larger price swings, reducing the frequency of breaches but potentially delaying actionable signals.
A narrower band (e.g., ±10 %) yields more frequent “overbought/oversold” alerts but may produce more false signals during normal volatility. It is advisable to calibrate the channel width to the asset’s historical volatility regime.
5. Forecast Cautions
The short‐term projection assumes that the last single‐bar increment ΔF remains constant for M bars. In reality, trend acceleration or deceleration can occur, rendering the linear forecast inaccurate.
As such, the forecast serves as a visual guide rather than a statistically rigorous prediction. It is best used in conjunction with other momentum, volume, or volatility indicators to confirm trend continuation or reversal.
LIMITATIONS AND CONSIDERATIONS
1. Power‐Law Assumption
By fitting ln(P) against ln(d), the model posits that P(t) ≈ C · ^b. Real markets may deviate from a pure power‐law, especially around significant news events or structural regime changes. Temporary misalignment can occur.
2. Fixed Channel Width
Markets exhibit heteroskedasticity: volatility can expand or contract unpredictably. A static ±X % band does not adapt to changing volatility. During high‐volatility periods, a fixed ±50 % may prove too narrow and be breached frequently; in unusually calm periods, it may be excessively broad, masking meaningful variations.
3. Endpoint Sensitivity
Regression‐based indicators often display greater curvature near the most recent data, especially under rolling‐window mode. This can create sudden “jumps” in F(t) when new bars arrive, potentially confusing users who expect smoother behaviour.
4. Forecast Simplification
The projection does not re‐estimate regression slope b for future times. It only extends the most recent single‐bar change. Consequently, it should be regarded as an indicative extension rather than a precise forecast.
PRACTICAL IMPLEMENTATION ON TRADINGVIEW
1 Adding the Indicator
In TradingView’s “Indicators” dialog, search for Fair Value Trend Model or visit my profile, under "scripts" add it to your chart.
Add it to any chart (e.g., BTCUSD, AAPL, EURUSD) to see real‐time computation.
2. Configuring Inputs
Show Forecast Line: Toggle on or off the dashed projection of the fair‐value.
Forecast Bars: Choose M, the number of bars to extend into the future (default is often 30).
Forecast Line Colour: Select a high‐contrast colour (e.g., yellow).
Bullish FV Colour / Bearish FV Colour: Define the colour of the fair‐value line when price is above (e.g., green) or below it (e.g., red).
Show FV Channel Bands: Enable to display the grey channel bands around the fair‐value.
Channel Band Upper % / Channel Band Lower %: Set α_upper and α_lower as desired (defaults of 50 % create a ±50 % envelope).
Use Rolling Window?: Choose whether to restrict the regression to recent data.
Window Bars: If rolling mode is enabled, designate W, the number of bars to include.
3. Visual Output
The central curve F(t) appears on the price chart, coloured green when P(t) ≥ F(t) and red when P(t) < F(t).
If channel bands are enabled, the chart shows two grey lines U(t) and L(t) and a subtle shading between them.
If forecasting is active, dashed extensions of F(t), U(t), and L(t) appear, projecting forward by M bars in neutral hues.
CONCLUSION
The Fair Value Trend Model furnishes traders with a mathematically principled estimate of an asset’s equilibrium price curve by fitting a log‐linear regression to historical data. Its channel bands delineate a normal corridor of fluctuation based on fixed percentage offsets, while an optional short‐term projection offers a visual approximation of trend continuation.
By operating in log‐space, the model effectively captures exponential or power‐law growth patterns that linear methods overlook. Rolling‐window capability enables responsiveness to regime shifts, whereas all‐time mode highlights broader structural trends. Nonetheless, users should remain mindful of the model’s assumptions—particularly the power‐law form and fixed band percentages—and employ the forecast projection as a supplemental guide rather than a standalone predictor.
When combined with complementary indicators (e.g., volatility measures, momentum oscillators, volume analysis) and robust risk management, the Fair Value Trend Model can enhance market timing, mean‐reversion identification, and breakout detection across diverse trading environments.
REFERENCES
Draper, N. R., & Smith, H. (1998). Applied Regression Analysis (3rd ed.). Wiley.
Tsay, R. S. (2014). Introductory Time Series with R (2nd ed.). Springer.
Hull, J. C. (2017). Options, Futures, and Other Derivatives (10th ed.). Pearson.
These references provide background on regression, time-series analysis, and financial modeling.
MestreDoFOMO RENKO Sushy System v6🔍 What is this script?
The MestreDoFOMO RENKO Sushy System is a visual tool developed to help traders better interpret the market trend based on a Renko logic adapted to traditional candlestick charts.
It does not use TradingView's native Renko chart, but rather a simulation of Renko behavior, calculated dynamically in real time, adapting to the percentage movement of the price.
🧠 How does it work?
The script uses a Renko simulation with an adjustable percentage base (Renko Size), allowing the trader to define the size of the virtual "blocks" or "bricks" in % of the price. This logic creates a dynamic trend line that changes direction only when there is a sufficient variation in the price — filtering out noise and helping to focus on the prevailing direction.
When a change in direction occurs, a visual signal is displayed on the chart:
💲 Buy signal, when the trend changes from bearish to bullish
👹 Sell signal, when the trend changes from bullish to bearish
These signals are not automatic trading alerts, but rather visual periodic signals based on the internal logic of the system.
📈 Why do we include EMAs (20, 50 and 200)?
Exponential moving averages (EMAs) are widely used in technical analysis as supporting tools for understanding market structure:
EMA 20: A short-term indicator, useful for capturing recent movements.
EMA 50: Considered an interactive trend average, often used as dynamic support/resistance.
EMA 200: A long-term reference, often used to identify the "bigger direction" of the market.
EMAs are indicated in the script and can be enabled or disabled according to the user's preference. They are not part of the signal logic — they serve only as visual and contextual support to assist the trader's manual analysis.
📋 Included features
✅ Renko logic adapted to the candlestick chart, with sensitivity control in %
✅ Trend line based on the current Renko direction
✅ Visual signals of trend change (buy/sell)
✅ Option to enable/disable EMAs 20, 50 and 200
✅ Information panel with trend status, EMA values and current parameters
✅ Customizable trend change alerts
✅ Background color to strengthen the direction (green = high, red = low)
🛠 How to use?
Choose the timeframe: Works best on timeframes longer than 1 hour (e.g. 1H, 4H, Daily).
Adjust the Renko size (%): Try starting with 1% and adjusting according to the asset (crypto, forex, etc.).
Decide whether to use EMAs: Only activate if you want additional context.
Observe the signals and the trend line: They are useful for detecting possible reversals or confirmations of movement.
Combine with other elements: This system is a support tool. For best results, use it in conjunction with price action, liquidity zones or other complementary indicators.
⚠️ Important notice
This script does not execute orders or make automatic decisions. It is an educational and visual tool created to help read the trend in a clean and simple way.
No guarantee of past or future performance is provided. Use is at the sole risk of the user.
Xzoneia ORBs Pre & OpenXzoneia ORBs Pre & Open
Clean, Multi-Session Opening Range Boxes for Any Market
The Xzoneia ORBs Pre & Open indicator automatically plots Opening Range Boxes (ORBs) for major global trading sessions, including Market Open, Pre-Asian, Asian, Pre-London, London, Pre-NY, and NY.
It highlights each session’s high/low range with customizable colors and session timing, adapting perfectly for Forex, Gold, Indices, and Crypto—including full BTC support even at extreme prices.
All ORB label positions are auto-optimized for every asset, so your session names are always clearly visible, no matter what you trade.
Key Features:
Multi-session ORB plotting (Pre & Open for all regions)
Smart color, extension, and label logic per session
Full support for high-value assets (BTC, indices)
Clean, non-intrusive overlays with adaptive label placement
“Set and forget”—no user input required
Perfect for:
London/NY/Asia session traders
Opening Range and volatility setups
Gold, Forex, BTC, and synthetic markets
RL Finder Version 2 with Past Move Filterrl indicator
filtered
default settings
These are used as support and resistance levels use them on the 30,1hr,2hr,3hr,4hr daily time frames
UTC Day SeparatorsGlobally consistent back-tests: When you anchor indicators (VWAP, ADR, supply/demand boxes) to daily boundaries, basing them on UTC avoids daylight-saving mismatches between exchanges.
Quick regime inspection: You can eyeball overnight gaps or Asia/Europe/US session overlaps by seeing how price behaves relative to successive UTC days.
Chart cleanliness: Because the line is dotted and low-contrast, it gives a subtle reference grid without overwhelming candles or other plots.
New York Midnight Day SeparatorThis Pine Script indicator draws vertical separator lines on the chart at midnight in the New York timezone (Eastern Time). The lines mark the start of each new trading day from Monday to Friday, helping traders visually distinguish daily sessions based on New York market time. The separator lines are rendered as slightly transparent gray lines spanning the full price range of each midnight candle, providing a clean and unobtrusive visual aid for session tracking.
Ai BTC Signal Sell & Whales / liquidation - Strategy [Ai Whales]Dear trader,
Professional analysts participated in the development and artificial intelligence was introduced to adapt Sell signals to the modern, constantly changing and highly volatile BTCUSD market, as well as taking into account the presence and actions of large institutional players - the so-called "sales whales". This strategy is an analogue and continuation of another script for buying Bitcoin (Ai BTC Signals Buy & Whales / Liquidation - Strategy ), only this script shows only signals for selling / manipulations and liquidating traders who opened short positions. The strategy allows you to instantly evaluate any configuration that you set in the indicator and see the results reflected in professional performance indicators corresponding to the strategy you have chosen.
The indicator displays several signals on the chart:
1) Sell signal (not buy signals)
2) Take profit line and price
3) Stop loss line and price
4) Manipulations and liquidations observed in the market
5) Whale activity - sell with small, medium and large volumes
The indicator does not repaint, since it is based on displaying signals only after the candle closes, so the calculations are correct and not distorted.
Recommended pair: BTCUSD ; BTCUSDT ; BTCUSDTP etc. The indicator can show R / R - 0.5:1 1:1 1:2 1:3 1:4
Recommended timeframes for use: from 4 hours to 1 week, ideally - 1 day. However, you can experiment with other close timeframes.
Possible trading modes: spot or futures.
Some methods used in the calculations of the indicator:
- statistical patterns that have the ability to repeat in the future. Bitcoin cycles in different market phases, which also have the ability to repeat and are included in the indicator,
- miner capitulation and hash rate are also taken into account by the indicator,
- candle volumes and their deltas are taken into account in the calculations,
- as well as other bases such as RSI and its divergence, EMA crossing of various configurations, etc.
**How the strategy calculates positions:**
The position is opened at the Sell signal level and is fixed at the level of the thick blue line, which serves as the main target of the take profit. Pyramiding (adding to positions) can be enabled in the settings.
The size of each position is adjusted through the settings. It is important that each signal creates its own take profit lines. When pyramiding is enabled, all positions are eventually closed at the nearest take profit level generated by any of the pyramiding signals. This approach minimizes potential losses if the price does not reach the initially set maximum take profit levels; the strategy closes positions at the nearest available take profit level. This conservative method of the strategy reduces risk, although ideally each position in the pyramid should be closed at an individual take profit level, which will lead to even better results with deep backtesting.
The strategy includes alerts that can be customized depending on the capabilities of your platform. Alerts are triggered on the chart when Sell or Whale signals are detected.
**Settings overview:**
- Inside the strategy: default platform settings.
- Inside the indicator there are several filters:
1) allows traders to choose display modes
2) enter positions based on the market phase - rising or falling
3) can also choose whether to trade after manipulations and liquidations
4) can also choose whether to trade after whale activity (small, medium or large number of selling whales).
You can manually adjust the take profit and stop loss levels with simple method selections, making them flexible yet user-friendly. The indicator offers three main styles:
- "Universal" (standard levels)
- "Aggressive"
- "Conservative"
**Results and caveats:**
Deep backtesting from the first day of Bitcoin listing on various exchanges under certain conditions (no liquidations, certain settings) showed a maximum drawdown of about 4-15%, with the final return approaching more than 7000% and a WinRate of 95-100%. However, it is important to understand that such impressive past results do not guarantee future results.
If you are serious about your investments, remember that geopolitical events, institutional shifts, or other unforeseen factors can significantly affect the price of Bitcoin or even its existence. Unfortunately, the AI has not yet learned to fully take these macroeconomic conditions into account in its adaptive mechanisms.
Trade wisely and use this powerful tool responsibly.
Best wishes,
Demand & Supply Zones with all zonesi classifies the candles into low probability and high probability zones which are used to identify the big players money in the charts
TYSON / Risk EndThis indicator is specific to Risk End
The indicator highlights
1- Showing entry signals at reversals and after the completion of the candlesticks
2- Helps the trader to determine the immediate direction of the candles
3- Helps the trader to determine the safest entry areas (where the stop loss is small compared to the take profit) Ratio 3-1
Description
1- You can wait for the entry signal to appear (whether it is a buy or sell)
If the signal is consistent with your personal analysis, you can enter and commit to the goals and stop the loss
2- The indicator appears as an information panel on the right of the screen - showing you the general status of the indicator at every moment
3- When the buy or sell signal appears "This suggests that the accumulation process or the sideways trend has begun to end"
Here the seller or buyer will prevail by moving the candles
Settings
1- The default settings for buy and sell signals cannot be controlled
2- The indicator user can enable and disable some or all strategies
3- You can go into the settings and set the capital and specify the contract size and the dashboard will display
A study of the profit or loss that occurred during a specific previous period
This gives the trader a real-time study of the previous market movement
Recommendation
1- Remember that financial markets and trading are full of risks, so be careful in managing your capital and managing risks when executing any deal
2- You can rely on indicator signals, but the most important thing is commitment and then capital management
Comments
1- The free indicator works on the currency pair (EUR USD) ONLY
2- There is a paid version of the indicator that works on all Pairs, Commodities and Indices And it has many features
3- You can analyze the results on all pairs, commodities and indices on the free version.
(You can contact technical support)
For more information
warning
This indicator should not be relied upon only in trading (It only helps the trader to see the chart more clearly)
1- This indicator of buying and selling should not be relied upon only in trading (It only helps the trader to see sell signals , buy signals, momentum and liquidity)
Notes
1- The indicator is subject to continuous updating. “You will be notified in the event of any update.”
Alpha Trader University - Fractals & PivotsAlpha Trader University - Fractals & Pivots Indicator
A comprehensive TradingView indicator that identifies key market structure points:
• Fractals: Marks swing highs and lows with red triangles (resistance) and green triangles (support)
• Pivot Points: Labels market structure as HH (Higher High), LH (Lower High), LL (Lower Low), and HL (Higher Low)
• Customizable: Toggle fractals/pivots on/off, choose 3-bar or 5-bar fractal filtering, and customize colors
• Overlay: Plots directly on price chart for easy market structure analysis
Perfect for identifying trend changes, support/resistance levels, and market structure breaks in any timeframe.
Asian, London, New York SessionHey traders! If you trade SPX500 or NASDAQ100, timing is everything.
I created a Session Time Interval Indicator that marks the key market sessions – Asian, London, and New York – right on your chart.
It also places red vertical lines at 3 important times:
🕕 06:00 AM – Start of the Asian session
🕒 15:00 PM – Start of the London session
🕤 21:30 PM – New York Stock Exchange open
All based on UTC+8 Singapore time.
These times are when volatility hits. The red lines help you spot key breakouts, reversals, or momentum shifts — especially on US indexes like SPX500 and NASDAQ100."
This tool helps you trade smarter — not harder.
Get better entries, avoid fake moves, and stay in sync with the global market flow.
Check out the Session Time Indicator for SPX500 and NASDAQ100 today.
Dynamic Auto RangesBrief Overview:
The "Dynamic Auto Ranges" indicator automatically detects and displays dynamic price range levels around the current market price. This indicator was initially designed and optimized for price movements on Nasdaq, but may also be useful for other instruments with input adjustments. Its purpose is to help traders identify potential support/resistance zones or other key price levels in an adaptive manner. All range lines and their labels are displayed in red for clear visibility.
Key Features:
Automatic Main Range Detection: The indicator intelligently calculates a primary price range block (e.g., 21600-21800) based on the real-time price.
Adjustable Main Range Block Size: Users can select the size of this main range block via settings (e.g., 50, 100, 200, 500 points, etc.), allowing flexibility for various instruments and trading styles.
Automatic Subdivisions: Within the detected dynamic main range, the indicator automatically draws subdivision lines at intervals that are also user-configurable (e.g., every 25 points).
Full Horizontal Lines: All range lines are displayed as full horizontal lines extending to both the left and right sides of the chart (extend.both), providing a clear visualization of levels across history and into the future.
Informative Price Labels: Each subdivision line is accompanied by a clear price label, positioned below the line for easy readability. The label text size has also been adjusted to be larger and more visible (size.small).
Contrasting Red Visuals: Lines and price label text are displayed in red to ensure they stand out on your chart.
Line Style Configuration: Users can customize the line style (Solid, Dashed, Dotted) and the line width for general subdivisions, as well as for the main boundaries of the range block.
Real-time Updates: The range levels and their subdivisions will automatically shift and update as the market price moves into new main range blocks.
How to Use:
Add the "Dynamic Auto Ranges" indicator to your chart (optimized for Nasdaq, but can be tested on other instruments).
Open the indicator's settings (the gear icon next to the indicator name).
Adjust the "Main Range Block Size" to determine how large you want the primary range block to be around the current price.
Set the "Subdivision Step" to determine the interval for the lines within that main range.
Use the displayed lines as a reference for your price action analysis.
Customizable Settings:
Main Range Block Size: Choose the size of the main range block.
Subdivision Step: Set the interval for subdivision lines.
Style: Select the line style (Solid, Dashed, Dotted).
Width: Set the line width for subdivisions.
Main Boundary Width: Set a specific width for the main range block boundary lines.
Note:
This indicator is designed to provide visual guidance based on mathematical calculations of price movements. Like all trading tools, it should be used as part of a comprehensive trading strategy and not as the sole basis for making trading decisions.
Buysell Martingale Signal - CustomBuysell Martingale Signal - Custom Indicator
Introduction:
This indicator provides a dynamic buy and sell signal system incorporating an adaptive Martingale logic. Built upon the signalLib_yashgode9/2 library, it is designed for use across various markets and timeframes.
Key Features:
Primary Buy & Sell Signals: Identifies initial buy and sell opportunities based on directional changes derived from the signalLib.
Martingale Signals:
For Short (Sell) Positions: A Martingale Sell signal is triggered when the price moves against the existing short position by a specified stepPercent from the last entry price, indicating a potential opportunity to average down or increase position size.
For Long (Buy) Positions: Similarly, a Martingale Buy signal is triggered when the price moves against the existing long position by a stepPercent from the last entry price.
On-Chart Labels: Displays clear, customizable labels on the chart for primary Buy, Sell, Martingale Buy, and Martingale Sell signals.
Customizable Colors: Allows users to set distinct colors for primary signals and Martingale signals for better visual distinction.
Adjustable Sensitivity: Features configurable parameters (DEPTH_ENGINE, DEVIATION_ENGINE, BACKSTEP_ENGINE) to fine-tune the sensitivity of the underlying signal generation.
Webhook Support (Static Message Alerts): This indicator provides alerts with static messages for both primary and Martingale buy/sell signals. These alerts can be leveraged for automation by external systems (such as trading bots or exchange-provided Webhook Signal Trading services).
Important Note: When using these alerts for automation, an external system is required to handle the complex Martingale logic and position management (e.g., tracking steps, PnL calculation, hedging, dynamic quantity sizing), as this indicator solely focuses on signal generation and sending predefined messages.
How to Use:
Add the indicator to your desired chart.
Adjust the input parameters in the indicator's settings to match your specific trading symbol and timeframe.
For automation, you can set up TradingView alerts for the Buy Signal (Main/Martingale) and Sell Signal (Main/Martingale) conditions, pointing them to your preferred Webhook URL.
Configurable Parameters:
DEPTH_ENGINE: (e.g., 30) Controls the depth of analysis for the signal algorithm.
DEVIATION_ENGINE: (e.g., 5) Defines the allowable deviation for signal generation.
BACKSTEP_ENGINE: (e.g., 5) Specifies the number of historical bars to look back.
Martingale Step Percent: (e.g., 0.5) The percentage price movement against the current position that triggers a Martingale signal.
Labels Transparency: Adjusts the transparency of the on-chart signal labels.
Buy-Color / Sell-Color: Sets the color for primary Buy and Sell signal labels.
Martingale Buy-Color / Martingale Sell-Color: Sets the color for Martingale Buy and Sell signal labels.
Label size: Controls the visual size of the labels.
Label Offset: Adjusts the vertical offset of the labels from the candlesticks.
Risk Warning:
Financial trading inherently carries significant risk. Martingale strategies are particularly high-risk and can lead to substantial losses or even complete liquidation of capital if the market moves strongly and persistently against your position. Always backtest thoroughly and practice with a demo account, fully understanding the associated risks, before engaging with real capital.
5th Candle Breakout (Selected Date)✅ How to Use
🔁 Set the targetDate input to any date you want to test the setup on.
🕒 Use this on 30-minute timeframe.
📊 Works great on NIFTY, BANKNIFTY, or any F&O instrument.
📌 Uses body-close breakout during 6th or 7th candle.
🎯 Plots real entry, SL, and 1x target.
Sniper vX∞.2.M.1 — Elite UX EditionThis is part 2z
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SNIPER vX.Ω.∞ — VISUALIZER GOD MODEThis is only a test.
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