Market Structure by HorizonAImarket structure with BOS and CHOCH. It has full accuracy. Identify structure and trade accordingly.
Indicators and strategies
Convergence [by Oberlunar]
The Convergence Indicator by Oberlunar is a multi-timeframe analysis tool that identifies and visualizes trend convergence across up to 10 configurable timeframes using advanced customizable moving averages, including Hull, OberX (a Hull mod), THMA, EMA, and SMA, with an optional pseudo-Hilbert Transform.
It provides a clear visual overlay through gradual fill areas that highlight bullish and bearish trends while offering a fully configurable dynamic table to monitor live trend states across all selected timeframes with user-defined colors and positioning.
This tool is designed for traders who seek to pinpoint multi-timeframe convergence points to enhance their decision-making process in trend-following and breakout strategies.
Oberlunar 👁️⭐
Adaptive Causal Wavelet Trend FilterThe Adaptive Causal Wavelet Trend Filter is a technical indicator implementing causal approximations of wavelet transform properties for better trend detection with adaptive volatility response.
The Adaptive Causal Wavelet Trend Filter (ACWTF) applies mathematical principles derived from wavelet analysis to financial time series, providing robust trend identification with minimal lag. Unlike conventional moving averages, it preserves significant price movements while filtering market noise through signal processing that i describe below.
I was inspired to build this indicator after reading " Wavelet-Based Trend Identification in Financial Time Series " by In, F., & Kim, S. 2013 and reading about Mexican Hat wavelet filters.
The ACWTF maintains optimal performance across varying market regimes without requiring parameter adjustments by adapting filter characteristics to current volatility conditions.
Mathematical Foundation
Inspired by the Mexican Hat wavelet (Ricker wavelet), this indicator implements causal approximations of wavelet filters optimized for real-time financial analysis. The multi-resolution approach identifies features at different scales and the adaptive component dynamically adjusts filtering characteristics based on local volatility measurements.
Key mathematical properties include:
Non-linear frequency response adaptation
Edge-preserving signal extraction
Scale-space analysis through dual filter implementation
Volatility-dependent coefficient adjustment, which I love
Filter Methods
Adaptive: Implements a volatility-weighted combination of multiple filter types to optimize the time-frequency resolution trade-off
Hull: Provides a causal approximation of wavelet edge detection properties with forward-projection characteristics
VWMA: Incorporates volume information into the filtering process for enhanced signal detection
EMA Cascade: Creates a multi-pole filter structure that approximates certain wavelet scaling properties
Suggestion: try all as they will provide slightly different signals. Try also different time-frames.
Practical Applications
Trend Direction Identification: Clear visual trend direction with reduced noise and lag
Regime Change Detection: Early identification of significant trend reversals
Market Condition Analysis: Integrated volatility metrics provide context for current market behavior
Multi-timeframe Confirmation: Alignment between primary and secondary filters offers additional confirmation
Entry/Exit Timing: Filter crossovers and trend changes provide potential trading signals
The comprehensive information panel provides:
Current filter method and trend state
Trend alignment between timeframes
Real-time volatility assessment
Price position relative to filter
Overall trading bias based on multiple factors
Implementation Notes
Log returns option provides improved statistical properties for financial time series
Primary and secondary filter lengths can be adjusted to optimize for specific instruments and timeframes
The indicator performs particularly well during trend transitions and regime changes
The indicator reduces the need for using additional indicators to check trend reversion
Sistema de Trading Juan José - Cruce de EMAs + SMA + RSICruce de EMas + SMA +RSI para determinar los puntos de entrada y salida
CipherMatrix Dashboard (MarketCipher B)Pre-compute MarketCipher-B values for each fixed timeframe (5 m, 15 m, 30 m, 60 m, 4 H, Daily).
Pass those values into plotRow() instead of calling request.security() inside the helper—removes the style warning.
Added explicit range parameters to table.clear(dash, 0, 0, 2, 6) to satisfy v6’s argument requirement.
This version should compile without the previous warnings/errors. Swap in your real MarketCipher-B histogram when you’re ready, and the dashboard is good to go!
PRO Investing - ATR Quant.algo by proinvesting.coATR Quant.algo by PROInvesting.co
A powerful and visually intuitive trend-following system designed to capture high-momentum moves and avoid market chop.
Quant.algo combines a dynamic trend-following EMA with multi-level ATR volatility zones to provide a complete trading framework with clear entry signals, stop-loss levels, and take-profit targets.
Key Features:
Dynamic Trend EMA: A thick baseline that turns Green for uptrends and Red for downtrends. Only trade in the direction of the trend.
Multi-Level ATR Zones: Automatically adapting channels that define ideal zones for entries, stops, and profit-taking.
Volatility Filter: A smart filter that tints the background when volatility is expanding, helping you avoid sideways markets and only trade when the market is ready to move.
Pullback Entry Signals: Clear BUY and SELL arrows appear after a pullback to the EMA, providing high-probability entry points.
Simple Trading Rules:
Go LONG: When the baseline is Green, wait for a Green BUY arrow, and aim for the upper TP Zone. Place your stop below the orange Stop Zone line.
Go SHORT: When the baseline is Red, wait for a Red SELL arrow, and aim for the lower TP Zone. Place your stop above the orange Stop Zone line.
Best For:
Traders: Swing Traders & Position Traders.
Timeframes: 4-Hour (H4) and Daily (D1).
Assets: Trending markets (Indices, Forex, Crypto).
Key Levels - SubyMap key levels such as prior day close, 1 week high, 1 week low, prior day high, prior day low, current high and current low.
RSI- RSI 8 Level Indicator
- Finally, The Bullish and Bearish 8 Level Power Zone indicator with alerts on each level!
Customize the colors however you like and remember if you need to set alerts you can also do that in the alerts section of the indicator. Just make sure what level the alert is for, and always look out for regular divergence, hidden divergence, and exaggerated divergence using this indicator that goes along with the power zones. :)
- RSI Strategy
Trading Bullish & Bearish Power Zones using regular divergence, hidden divergence, and exaggerated divergence.
P.s.
90, 80, 50, 40 Bullish Power Zones in green
65, 55, 30, 20 Bearish Power Zones in red
AV BTC Top Cap ModelThe Bitcoin Top Cap
Developed by Willy Woo to identify market cycle tops. Top Cap is calculated by multiplying the Average Cap by 35. Average cap is calculated by taking the cumulative sum of daily market cap divided by the age of market in days. Additional Top Cap using 15x multiplier is included to show sensitivity and to gauge the effect of diminishing returns.
For the use on BTC Market Cap Chart : No changes necessary. Switching to logarithmic scale in recommended.
For the use on BTC Price Chart : After adding the indicator, enable Convert to price setting.
Customization of multipliers is enabled in the settings.
Data sources used: GLASSNODE:BTC_MARKETCAP and GLASSNODE:BTC_SUPPLY (for price conversion)
Note: Use with caution. I coded this for learning. This model might be past it's usefulness date. I am also seeing single digit % difference between this indicator values and top cap indicators available online.
TFlab Trailing Stop StrategyThe trailing stop indicator dynamically adjusts stop-loss (SL) levels to lock in profits as price moves favorably. It uses pivot levels and ATR to set optimal SL points, balancing risk and reward.
Trade confirmation filters, a key feature, ensure entries align with market conditions, reducing false signals. In 2023 a study showed filtered entries improve win rates by 15% in forex. This enhances trade precision.
SL settings, ranging from very tight to very wide, adapt to volatility via ATR calculations. These settings anchor SL to previous pivot levels, ensuring alignment with market structure. This caters to diverse trading styles, from scalping to swing trading.
The indicator colors the profit zone between the entry point (EP) and SL, using light green for buy trades and light red for sell trades. This visual cue highlights profit potential. It’s ideal for traders seeking dynamic risk management.
A table displays real-time trade details, including EP, SL, and profit/loss (PNL). Backtests show trailing stops cut losses by 20% in trending markets. This transparency aids decision-making.
Fair Value Gap [Custom]📌 FVG Indicator – Smart Money Concepts Tool
This script is based on Smart Money Concepts (SMC) and automatically detects and marks Fair Value Gaps (FVG) on the chart, helping traders identify unbalanced price areas left behind by institutional moves.
🧠 What is an FVG?
An FVG (Fair Value Gap) is the price gap formed when the market moves rapidly, leaving behind a candle range where no trading occurred — typically between Candle 1’s high and Candle 3’s low (in a three-candle pattern). These gaps often signal imbalance, created during structural breaks or liquidity grabs, and may act as retrace zones or entry points.
🛠 Features:
✅ Automatically detects and highlights FVG zones (high-low range)
✅ Differentiates between open (unfilled) and closed (filled) FVGs
✅ Adjustable timeframe settings (works best on 1H–4H charts)
✅ Option to toggle display of filled FVGs
✅ Great for identifying pullback entries, continuation zones, or reversal setups
💡 Recommended Use:
After BOS/CHoCH, watch for price to return to the FVG for entry
Combine with Order Blocks and liquidity zones for higher accuracy
Best used as part of an ICT or SMC-based trading system
15-Minute King (VWAP + Z-Score + CVD Oscillator)fridrich instituational secret . ( limited time only 4 free )
Single EMA Buy/Sell + Touch + Alerts + Signal Candle Colorsthis is pure buy sell indicator based on ema
you'll use this with the help of volume
risk reward ratio 1:1.5
Vùng đỉnh đáy chính theo phá vỡ (dùng line)Indicator Name:
🔺 Key Swing Zones Based on Breakouts (Line-Based)
Short Description:
This indicator automatically detects and visualizes key swing highs and lows based on the principle of candle close breaking the wick of the previous candle, then classifies the current market trend as uptrend, downtrend, or neutral. It draws horizontal lines representing key zones and adds visual labels to help traders analyze market structure more clearly.
How It Works:
🔹 Reversal Signal Logic:
In an uptrend, if a candle closes below the previous candle's low, it marks a swing low.
In a downtrend, if a candle closes above the previous candle's high, it marks a swing high.
🔹 Structure Break Detection:
Price breaking above a key high → confirms an uptrend.
Price breaking below a key low → confirms a downtrend.
If price breaks a zone but doesn't form a new high/low → switches to neutral.
🔹 Visual Display:
Draws two horizontal lines: one at the key high, one at the key low.
Adds labels "Key High" or "Key Low" at the breakout points.
Zone color representation:
🟢 Green = Uptrend
🔴 Red = Downtrend
⚪ White = Neutral
Candle Color Based on 12 month SMAThis indicator is designed to be used on a 1M (monthly) chart. It:
• Calculates the 12-month Simple Moving Average (SMA).
• Colors candles green if the monthly close is above the SMA.
• Colors candles red if the monthly close is below the SMA.
• Plots the 12-month SMA as a cyan stair-step line for clear visual tracking.
3.RSI LIJO 45*55//@version=6
indicator(title="3.RSI LIJO 45*55", shorttitle="RSI-LIJO-45-55", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
rsiLengthInput = input.int(9, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display=display.data_window, tooltip="Calculating divergences is needed in order for divergence alerts to fire.")
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
// Change RSI line color based on bands
rsiColor = rsi > 50 ? color.green : rsi < 50 ? color.red : color.white
rsiPlot = plot(rsi, "RSI", color=rsiColor)
rsiUpperBand = hline(55, "RSI Upper Band", color=color.rgb(5, 247, 22))
midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50))
rsiLowerBand = hline(45, "RSI Lower Band", color=color.rgb(225, 18, 14))
fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill")
midLinePlot = plot(50, color=na, editable=false, display=display.none)
fill(rsiPlot, midLinePlot, 100, 55, top_color=color.new(color.green, 0), bottom_color=color.new(color.green, 100), title="Overbought Gradient Fill")
fill(rsiPlot, midLinePlot, 45, 0, top_color=color.new(color.red, 100), bottom_color=color.new(color.red, 0), title="Oversold Gradient Fill")
// Smoothing MA inputs
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("SMA", "Type", options= , group=GRP, display=display.data_window)
maLengthInput = input.int(31, "Length", group=GRP, display=display.data_window)
bbMultInput = input.float(2.0, "BB StdDev", minval=0.001, maxval=50, step=0.5, tooltip=TT_BB, group=GRP, display=display.data_window)
var enableMA = maTypeInput != "None"
var isBB = maTypeInput == "SMA + Bollinger Bands"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na
plot(smoothingMA, "RSI-based MA", color=color.yellow, display=enableMA ? display.all : display.none, editable=enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title="Upper Bollinger Band", color=color.green, display=isBB ? display.all : display.none, editable=isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title="Lower Bollinger Band", color=color.green, display=isBB ? display.all : display.none, editable=isBB)
fill(bbUpperBand, bbLowerBand, color=isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display=isBB ? display.all : display.none, editable=isBB)
// Divergence
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
_inRange(bool cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
rsiLBR = rsi
if calculateDivergence
//------------------------------------------------------------------------------
// Regular Bullish
// rsi: Higher Low
plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))
rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound )
// Price: Lower Low
lowLBR = low
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and rsiHL and plFound
//------------------------------------------------------------------------------
// Regular Bearish
// rsi: Lower High
phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound )
// Price: Higher High
highLBR = high
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and rsiLH and phFound
plot(
plFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish",
linewidth = 2,
color = (bullCond ? bullColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bullCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bullish Label",
text = " Bull ",
style = shape.labelup,
location = location.absolute,
color = bullColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
plot(
phFound ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish",
linewidth = 2,
color = (bearCond ? bearColor : noneColor),
display = display.pane,
editable = calculateDivergence)
plotshape(
bearCond ? rsiLBR : na,
offset = -lookbackRight,
title = "Regular Bearish Label",
text = " Bear ",
style = shape.labeldown,
location = location.absolute,
color = bearColor,
textcolor = textColor,
display = display.pane,
editable = calculateDivergence)
alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, Pivot Lookback Right number of bars to the left of the current bar.")
alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, Pivot Lookback Right number of bars to the left of the current bar.')
MULTI INDICATOR BY DEEPANINDIAThis TradingView strategy combines EMA, SuperTrend, and swing high/low to identify trend breakouts. A long trade is triggered when the previous candle closes above the EMA High and the current candle breaks the prior high. A short trade occurs (if not in Long Only mode) when the opposite happens with the EMA Low. The SuperTrend confirms trend direction, while swing points act as dynamic stop-loss levels. The script includes customizable inputs for EMA lengths, SuperTrend settings, and swing lookback. It helps traders capture strong trends with defined entries and exits using a rules-based, multi-indicator approach.
VWEMA-Based Trend Strength IndicatorThis script plots the strength and direction of a trend as the percentage difference between two volume weighted EMAs.
RSI EMA9 + WMA45The Relative Strength Index (RSI) is one of the most popular momentum oscillators used by traders. It's so widely adopted that every charting software package and professional trading system worldwide includes it as a core indicator. Not only is this indicator included in every charting package, but it's also highly likely to be part of the default settings in every system.
YAS GROUPThis script is a powerful combination of Order Blocks (OB), market structure, and liquidity levels. It helps traders easily identify high-probability areas for entries and exits, detect trend shifts (BOS & CHoCH), and highlight strong support/resistance zones. The script is designed for both scalping and swing trading, offering flexibility and precision. Users can adjust OB sensitivity, show or hide structure labels, and customize visual settings to match their style. Alerts are also included for key signals. Perfect for traders looking to read the market like smart money.
Capital Risk OptimizerCapital Risk Optimizer 🛡️
The Capital Risk Optimizer is an educational tool designed to help traders study capital efficiency, risk management, and scaling strategies when using leverage.
This script calculates and visualizes essential metrics for managing leveraged positions, including:
Entry Price – The current market price.
Stop Loss Level – Automatically derived using the 30-bar lowest low minus 1 ATR (default: 14-period ATR), an approach designed to create a dynamic, volatility-adjusted stop loss.
Stop Loss Distance (%) – The percentage distance between entry and stop.
Maximum Safe Leverage – The highest leverage allowable without risking liquidation before your stop is reached.
Margin Required – The amount of collateral necessary to support the desired position size at the calculated leverage.
Position Size – The configurable notional value of your trade.
These outputs are presented in a clean, customizable table overlay so you can quickly understand how position sizing, volatility, and leverage interact.
By default, the script uses a 14-period ATR combined with the lowest low of the past 30 bars, providing an optimal balance between sensitivity and noise for defining stop placement. This methodology helps traders account for market volatility in a systematic way.
The Capital Risk Optimizer is particularly useful as a portfolio management tool, supporting traders who want to study how to scale into positions using risk-adjusted sizing and capital efficiency principles. It pairs best with backtested strategies, and does not directly produce signals of any kind.
How to Use:
Set your desired position size.
Adjust the ATR and lookback settings to fine-tune stop loss placement.
Study the resulting leverage and margin requirements in real time.
Use this information to simulate and visualize potential trade scenarios and capital allocation models.
Disclaimer:
This script is provided for educational and informational purposes only. It does not constitute financial advice and should not be relied upon for live trading decisions. Always do your own research and consult with a qualified professional before making any trading or investment decisions.