Market Performance by Yearly Seasons [LuxAlgo]The Market Performance by Yearly Seasons tool allows traders to analyze the average returns of the four seasons of the year and the raw returns of each separate season.
🔶 USAGE
By default, the tool displays the average returns for each season over the last 10 years in the form of bars, with the current session highlighted as a bordered bar.
Traders can choose to display the raw returns by year for each season separately and select the maximum number of seasons (years) to display.
🔹 Hemispheres
Traders can select the hemisphere in which they prefer to view the data.
🔹 Season Types
Traders can select the type of seasons between meteorological (by default) and astronomical.
The meteorological seasons are as follows:
Autumn: months from September to November
Winter: months from December to February
Spring: months from March to May
Summer: months from June to August
The astronomical seasons are as follows:
Autumn: from the equinox on September 22
Winter: from the solstice on December 21
Spring: from the equinox on March 20
Summer: from the solstice on June 21
🔹 Displaying the data
Traders can choose between two display modes, average returns by season or raw returns by season and year.
🔶 SETTINGS
Max seasons: Maximum number of seasons
Hemisphere: Select NORTHERN or SOUTHERN hemisphere
Season Type: Select the type of season - ASTRONOMICAL or METEOROLOGICAL
Display: Select display mode, all four seasons, or any one of them
🔹 Style
Bar Size & Autofit: Select the size of the bars and enable/disable the autofit feature
Labels Size: Select the label size
Colors & Gradient: Select the default color for bullish and bearish returns and enable/disable the gradient feature
Multitimeframe
Power Trend [MacAlgo]Description:
The Power Trend Indicator is a sophisticated technical analysis tool that overlays on your trading charts to identify prevailing market trends. It utilizes a combination of ATR-based trend calculations, moving averages, volume analysis, and momentum indicators to generate reliable buy and sell signals. Additionally, it offers customizable settings to adapt to various trading styles and timeframes.
Key Features:
Adaptive ATR Calculation: Automatically adjusts the ATR (Average True Range) period and multiplier based on the selected timeframe for more accurate trend detection.
Dynamic Trend Lines: Plots continuous trend lines with color-coded bars to visually represent bullish and bearish trends.
Buy/Sell Signals: Generates standard and power buy/sell signals to help you make informed trading decisions.
Volume Analysis: Incorporates average buy and sell volumes to identify strong market movements.
Multiple Timeframe Support: Automatically adjusts the indicator's timeframe or allows for manual selection to suit your trading preferences.
Highlighting: Highlights trending bars for easy visualization of market conditions.
Alerts: Customizable alert conditions to notify you of potential trading opportunities in real-time.
How it Works:
1. ATR-Based Trend Calculation:
ATR Period & Multiplier: Calculates ATR based on user-defined periods and multipliers, dynamically adjusting according to the chart's timeframe.
Trend Determination: Identifies trends as bullish (1) or bearish (-1) based on price movements relative to ATR-based upper (up) and lower (dn) trend lines.
2. Moving Averages:
EMA & SMA: Calculates exponential and simple moving averages to smooth price data and identify underlying trends.
AlphaTrend Line: Combines a 50-period EMA and a 30-period SMA on a 4-hour timeframe to create the AlphaTrend line, providing a robust trend reference.
3. Volume Analysis:
Buy/Sell Volume: Differentiates between buy and sell volumes to gauge market strength.
Average Volume: Compares current volume against average buy/sell volumes to detect significant market movements.
4. Momentum Indicators:
RSI, MACD, OBV: Incorporates Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and On-Balance Volume (OBV) to assess momentum and confirm trend strength.
5. Signal Generation:
Standard Signals: Basic buy and sell signals based on trend crossovers.
Power Signals: Enhanced signals requiring multiple conditions (e.g., increased volume, momentum confirmation) for higher confidence trades.
Customization Options:
Tailor the Power Trend Indicator to your specific trading needs with the following settings:
ATR Period: Set the period for ATR calculation (default: 8).
ATR Multiplier: Adjust the ATR multiplier to fine-tune trend sensitivity (default: 3.0).
Source: Choose the price source (e.g., HL2, Close) for calculations.
Change ATR Calculation Method: Toggle between different ATR calculation methods.
Show Buy/Sell Signals: Enable or disable the display of buy and sell signals on the chart.
Highlighting: Turn on or off the bar highlighting feature.
Timeframe Adjustment: Choose between automatic timeframe adjustment or manually set
the indicator's timeframe.
Manual Indicator Timeframe: If manual adjustment is selected, specify the desired timeframe (default: 60 minutes).
Visual Components:
Trend Lines: Continuous lines representing the current trend, color-coded for easy identification (green for bullish, red for bearish, orange for neutral).
Bar Coloring: Bars are colored based on the current trend and its relationship to the AlphaTrend line.
Buy/Sell Triangles: Triangular markers appear on the chart to indicate buy and sell signals.
Power Signals: Larger triangles highlight strong buy and sell opportunities based on multiple confirming factors.
Highlighting: Transparent overlays highlight trending areas to enhance visual clarity.
Alerts:
Stay informed with customizable alerts that notify you of important market movements:
SuperTrend Buy/Sell: Alerts when standard buy or sell signals are generated.
Power Buy/Sell Alerts: Notifications for strong buy or sell signals based on comprehensive conditions.
Trend Direction Change: Alerts when the trend changes from bullish to bearish or vice versa.
How to Use:
Add to Chart: Apply the Power Trend Indicator to your preferred trading chart on TradingView.
Configure Settings: Adjust the input parameters to match your trading style and the timeframe you are analyzing.
Analyze Trends: Observe the trend lines, bar colors, and AlphaTrend line to understand the current market trend.
Follow Signals: Look for buy and sell signals or power signals to identify potential entry and exit points.
Set Alerts: Enable alerts to receive real-time notifications of significant trading opportunities.
Adjust as Needed: Fine-tune the settings based on market conditions and your trading experience.
Important Notes:
Backtesting: While the Power Trend Indicator is built using robust technical analysis principles, it's essential to backtest and validate its performance within your trading strategy.
Market Conditions: The indicator performs best in trending markets. In sideways or highly volatile markets, signal reliability may vary.
Risk Management: Always employ proper risk management techniques when trading based on indicator signals to protect your capital.
Disclaimer:
This indicator is intended for educational purposes only and does not provide financial advice or guarantee future performance. Trading involves risk, and past results are not indicative of future outcomes. Always conduct your own analysis and risk management.
Previous HTF Highs, Lows & Equilibriums [ᴅᴀɴɪ]#Previous HTF Highs, Lows & Equilibriums
Indicator Description
This powerful and user-friendly indicator is designed to help traders visualize key levels from multiple higher timeframes directly on their chart. It plots the previous session's high, low, and equilibrium (EQ) levels for up to 4 customizable timeframes, allowing you to analyze price action across different time horizons simultaneously.
Key Features
#1 Multi-Timeframe Support:
Choose up to 4 higher timeframes (e.g., 1H, 4H, 1D, 1W) to plot levels on your chart.
Each timeframe's levels are displayed with clear, customizable lines.
#2 Previous Session Levels:
Plots the previous session's high, low, and EQ (EQ = (high + low) / 2) for each selected timeframe.
Levels are dynamically updated at the start of each new session.
#3 Customizable Line Styles:
Choose between solid, dashed, or dotted lines for each level.
Customize colors for high, low, and EQ levels to suit your preferences.
#4 Dynamic Labels:
Each level is labeled with the corresponding timeframe (e.g., "1D - H" for daily high, "4H - L" for 4-hour low).
Labels are positioned dynamically to avoid clutter and ensure readability.
#5 Toggle On/Off:
Easily toggle the visibility of all levels with a single button, making it simple to declutter your chart when needed.
#6 Compatible with All Markets:
Works seamlessly across all instruments (stocks, forex, crypto, futures, etc.) and timeframes.
How to Use?
1. Add the indicator to your chart.
2. Select up to 4 higher timeframes to plot levels.
3. Customize line styles and colors to match your trading style.
4. Toggle levels on/off as needed to keep your chart clean and focused
Disclaimer
This indicator is not a trading signal generator . It does not predict market direction or provide buy/sell signals. Instead, it is a tool to help you visualize key levels from higher timeframes, enabling you to make more informed trading decisions. Always combine this tool with your own analysis, risk management, and trading strategy.
Thank you for choosing this indicator! I hope it becomes a valuable part of your trading toolkit. Remember, trading is a journey, and having the right tools can make all the difference. Whether you're a seasoned trader or just starting out, this indicator is designed to help you stay organized and focused on what matters most—price action. Happy trading, and may your charts be ever in your favor! 😊
SmartVeiwSmartView – Advanced Indicator for Smart Money & Price Action Traders
🔹 Introduction
SmartView is a professional-grade trading indicator designed specifically for Smart Money Concepts (SMC) and Price Action strategies. It helps traders identify liquidity zones, institutional orders, valid breakouts, and market-maker movements to achieve precise entries and optimal exits.
🔹 Key Features:
✅ Liquidity Analysis & Institutional Order Blocks
Detect Order Blocks (Institutional Orders) to identify potential market-maker activity
Recognize Liquidity Sweeps & Stop Hunts to avoid false breakouts
Identify Breaker Blocks & Flip Zones to confirm structural reversals
✅ Order Flow & Market Structure Insights
Visualize buy and sell order accumulation to track institutional decisions
Analyze Premium & Discount Zones to locate optimal entry and exit points
✅ Volume Data & Buy/Sell Pressure Analysis
Color-coded candles based on actual buying and selling pressure
Identify price reactions at key liquidity zones for high-probability trades
✅ Market Structure & Breakout Validation
Highlight Change of Character (CHoCH) & Break of Structure (BOS) for trend confirmation
Detect true vs. false breakouts for refined trade execution
✅ Fully Customizable Interface
Adjust colors, zones, display direction, and sizing preferences
Enable/disable smooth bands, buy/sell pressure visualization, and liquidity mapping
📈 How to Use in Smart Money & Price Action Strategies
🔸 Trade Entries with Order Blocks & CHoCH:
Look for Order Blocks that align with Change of Character (CHoCH) and Break of Structure (BOS) to confirm institutional entries.
🔸 Avoid False Moves with Liquidity Sweeps:
Wait for liquidity grabs where price hunts stop losses before making a genuine move, then enter with candle confirmation.
🔸 Optimal Entries in Premium & Discount Zones:
In uptrends, enter below the 50% Fibonacci retracement (Discount Zone), and in downtrends, enter above 50% (Premium Zone).
🔸 Multi-Timeframe Confirmation (MTF):
Use higher timeframes for macro confirmation and refine entries on lower timeframes for precise execution.
📊 Who is SmartView for?
✅ Price Action & Smart Money Traders
✅ Scalpers & Swing Traders
✅ Institutional & Prop Firm Traders Focused on Liquidity
✅ Traders Looking for Data-Driven Strategies
🚀 With SmartView, trade like an institution and leverage liquidity to your advantage!
BINANCE:BTCUSDT BINANCE:SOLUSDT BINANCE:ADAUSDT
Strategy: RSI, EMA, FVGRemoved Duplicate Indicator: Consolidated all components into single script
Fixed Plot Conflicts:
Removed separate RSI plot (use dedicated RSI indicator instead)
Organized visual elements hierarchically
Optimized FVG Logic:
Added both bullish/green and bearish/red FVG zones
Clearer 3-candle imbalance detection
Improved Swing Low Detection:
Now requires confirmation bar after swing low
Multi-Timeframe Handling:
Proper separation of daily conditions (RSI, EMA)
Current timeframe calculations (MACD, VWMA)
ORB with Adjustable High/LowThe indicator plots two lines - one at the predefined points above the high and other at the same predefined points below the low of the first predefined period candle viz. 5 Min, 15 Min. etc.
Percent Change HistogramThis indicator shows you percent changes in a super visual way using a color-coded histogram.
Here's how the colors work:
🟩 Dark green = percent change is growing stronger
🟢 Light green = still positive but losing steam
🟥 Dark red = getting more negative
🔴 Light red = negative but improving
The cool part? You can set any lookback period you want. For example:
24 periods on 1H chart = last 24 hours
30 periods on daily = last month
7 periods on daily = last week
Pro tip: You're not locked to your chart's timeframe! Want to see monthly changes while trading on 5min?
No problem.
You can even stack multiple indicators to watch different intervals simultaneously (daily, weekly, monthly) - super helpful for multi-timeframe analysis.
Perfect for spotting momentum shifts across different timeframes without switching between charts.
Directional High-Low Volatility It calculates the volatility of the asset.
It provides a table for the historical values and the used defined range too.
Multi-Timeframe RSI Grid Strategy with ArrowsKey Features of the Strategy
Multi-Timeframe RSI Analysis:
The strategy calculates RSI values for three different timeframes:
The current chart's timeframe.
Two higher timeframes (configurable via higher_tf1 and higher_tf2 inputs).
It uses these RSI values to identify overbought (sell) and oversold (buy) conditions.
Grid Trading System:
The strategy uses a grid-based approach to scale into trades. It adds positions at predefined intervals (grid_space) based on the ATR (Average True Range) and a grid multiplication factor (grid_factor).
The grid system allows for pyramiding (adding to positions) up to a maximum number of grid levels (max_grid).
Daily Profit Target:
The strategy has a daily profit target (daily_target). Once the target is reached, it closes all open positions and stops trading for the day.
Drawdown Protection:
If the open drawdown exceeds 2% of the account equity, the strategy closes all positions to limit losses.
Reverse Signals:
If the RSI conditions reverse (e.g., from buy to sell or vice versa), the strategy closes all open positions and resets the grid.
Visualization:
The script plots buy and sell signals as arrows on the chart.
It also plots the RSI values for the current and higher timeframes, along with overbought and oversold levels.
How It Works
Inputs:
The user can configure parameters like RSI length, overbought/oversold levels, higher timeframes, grid spacing, lot size multiplier, maximum grid levels, daily profit target, and ATR length.
RSI Calculation:
The RSI is calculated for the current timeframe and the two higher timeframes using ta.rsi().
Grid System:
The grid system uses the ATR to determine the spacing between grid levels (grid_space).
When the price moves in the desired direction, the strategy adds positions at intervals of grid_space, increasing the lot size by a multiplier (lot_multiplier) for each new grid level.
Entry Conditions:
A buy signal is generated when the RSI is below the oversold level on all three timeframes.
A sell signal is generated when the RSI is above the overbought level on all three timeframes.
Position Management:
The strategy scales into positions using the grid system.
It closes all positions if the daily profit target is reached or if a reverse signal is detected.
Visualization:
Buy and sell signals are plotted as arrows on the chart.
RSI values for all timeframes are plotted, along with overbought and oversold levels.
Example Scenario
Suppose the current RSI is below 30 (oversold), and the RSI on the 60-minute and 240-minute charts is also below 30. This triggers a buy signal.
The strategy enters a long position with a base lot size.
If the price moves against the position by grid_space, the strategy adds another long position with a larger lot size (scaled by lot_multiplier).
This process continues until the maximum grid level (max_grid) is reached or the daily profit target is achieved.
Key Variables
grid_level: Tracks the current grid level (number of positions added).
last_entry_price: Tracks the price of the last entry.
base_size: The base lot size for the initial position.
daily_profit_target: The daily profit target in percentage terms.
target_reached: A flag to indicate whether the daily profit target has been achieved.
Potential Use Cases
This strategy is suitable for traders who want to combine RSI-based signals with a grid trading approach to capitalize on mean-reverting price movements.
It can be used in trending or ranging markets, depending on the RSI settings and grid parameters.
Limitations
The grid trading system can lead to significant drawdowns if the market moves strongly against the initial position.
The strategy relies heavily on RSI, which may produce false signals in strongly trending markets.
The daily profit target may limit potential gains in highly volatile markets.
Customization
You can adjust the input parameters (e.g., RSI length, overbought/oversold levels, grid spacing, lot multiplier) to suit your trading style and market conditions.
You can also modify the drawdown protection threshold or add additional filters (e.g., volume, moving averages) to improve the strategy's performance.
In summary, this script is a sophisticated trading strategy that combines RSI-based signals with a grid trading system to manage entries, exits, and position sizing. It includes features like daily profit targets, drawdown protection, and multi-timeframe analysis to enhance its robustnes
MTF EMA crossover Sentiment - SimplifiedMTF EMA crossover Sentiment Exponential Moving Average (EMA full form in stock market) is a kind of moving average that places a greater weight and importance on the most current data points. It is used for evaluating the bullish and bearish trends in securities over a certain span of duration.
Rolling 1H RSI (14) on 5M ChartThis indicator displays the 1 Hour RSI on 5 Minutes Chart on rolling basis
Buy/Sell AlgoThis script is an advanced trading software that harnesses real-time price data to provide the most accurate and timely buy signals:
📊 Real-Time Data: Continuously processes live market data to track price movements and identify key trends.
🔄 Advanced Algorithm: Leverages a dynamic crossover strategy between two moving averages (9-period short MA and 21-period long MA) to pinpoint optimal entry points with precision.
📍 Buy Signals: Automatically generates “BUY” signals when the short-term moving average crosses above the long-term moving average, reflecting a high-probability trend reversal to the upside.
🟩 Visual Indicators: Candle bars are dynamically colored green during bullish signals, providing clear visual confirmation for buyers.
7 Trading Setups with Codesit uses 7 indicator breakouts for trading , RSI SMA ORB TRIPLE TOP AND BOTTOM
Advanced Multi-Strategy Trading SystemTrade with the trend: The strategy uses EMAs, RSI, and MACD to identify the trend and momentum, helping you enter trades that align with the broader market movement.
Risk management: You can control your risk with dynamic position sizing, stop loss, and take profit levels. The trailing stop ensures that you lock in profits as the market moves in your favor.
Strategy Execution: When the buy or sell signals appear, the strategy will automatically enter trades for you. The script calculates optimal position sizes and manages the trades based on your predefined risk parameters.
Squeeze Pro Multi Time-Frame Analysis V2See all table time frames no matter what time frame chart you are on.
Buy Signal with FVG Confirmation (1h,15m,5m)Key Changes:
FVG Conditions Added to buySignal:
The buy signal now requires FVGs on all three timeframes (1h, 15m, 5m) in addition to your original criteria.
buySignal = ... and fvg1h and fvg15m and fvg5m
Simplified FVG Detection:
The detectFVG function now only returns the fvgBullish boolean (no need to return price levels).
How to Use:
Apply to 1-Hour Chart:
The script works best on a 1-hour chart since it combines daily, hourly, and lower timeframe (15m/5m) logic.
Interpret Signals:
A green triangle appears below the price bar when all conditions align, including FVGs on 1h, 15m, and 5m.
Use the shaded FVG zones (teal, orange, purple) to visually confirm gaps.
Set Alerts:
Create an alert in TradingView to notify you when the buySignal triggers.
Important Notes:
Multi-Timeframe Limitations:
Lower timeframe FVGs (15m/5m) are fetched using request.security, which may cause slight repainting on the 1-hour chart.
FVGs are evaluated based on the most recent completed bar in their respective timeframes.
Strategy Strictness:
Requiring FVGs on three timeframes makes the signal very selective. Adjust the logic (e.g., fvg1h or fvg15m) if you prefer fewer restrictions
Multi-indicator Signal Builder [Skyrexio]Overview
Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis, making it a powerful toolkit for technical traders.
Indicators Overview
1. RSI (Relative Strength Index)
Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale.
2. Ultimate Oscillator (UO)
Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences.
3. Bollinger %B
Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold).
4. Moving Average (MA)
Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers.
5. ADX (Average Directional Index)
Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend.
6. Stochastic
Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals.
7. MACD (Moving Average Convergence/Divergence)
Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers.
8. PSAR (Parabolic SAR)
Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR.
9. MFI (Money Flow Index)
Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold.
10. CCI (Commodity Channel Index)
Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe.
11. Heikin Ashi
A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends.
12. TV Screener
A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired.
Unique Features
1. Multi-Indicator Entry and Exit
You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers.
2. Single-Entry / Single-Exit with Intrabar SL/TP
The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets.
3. Time Window Filter
Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading.
4. Condition Table and Statistics
A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc.
5. Seamless Alerts and Automation
Configure alerts in TradingView using “Any alert() function call.”
The script sends JSON alert messages you can route to your own webhook.
The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges
6. Optional MA/PSAR Plots
For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators.
Methodology
1. Multi-Indicator Entry Logic
When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers.
2. Single-Entry Intrabar SL/TP
One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close.
Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end.
3. Exit Logic
All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close.
4. Time Filter
Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval.
Justification of Methodology
Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals.
Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios.
Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots).
Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods.
How to Use
1. Add the Script to Your Chart
In TradingView, open Indicators , search for “Multi-indicator Signal Builder”.
Click to add it to your chart.
2. Configure Inputs
Time Filter: Set a start and end date for trades.
Alerts Messages: Input any JSON or text payload needed by your external service or bot.
Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry.
Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels.
3. Set Up Alerts
In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script.
Entry Alert: Triggers on the script’s entry signal.
Close Alert: Triggers on the script’s close signal (or if SL/TP is hit).
Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker).
4. Visual Reference
A condition table at the bottom summarizes active signals.
Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics.
Backtesting Guidelines
Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing.
Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions.
Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance.
Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability.
Example of statistic calculation
Test Period: 2023-01-01 to 2025-12-31
Initial Capital: $1,000
Commission: 0.1%, Slippage ~5 ticks
Trade Count: 468 (varies by strategy conditions)
Win rate: 76% (varies by strategy conditions)
Net Profit: +96.17% (varies by strategy conditions)
Disclaimer
This indicator is provided strictly for informational and educational purposes .
It does not constitute financial or trading advice.
Past performance never guarantees future results.
Always test thoroughly in demo environments before using real capital.
Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
SM Concepts: FVG, BOS, CHOCH, S/R1. *Fair Value Gaps (FVG)* - Plots triangles below/above bars when FVG forms
2. *Break of Structure (BOS)* - Arrows showing trend continuation signals
3. *Change of Character (CHOCH)* - X marks showing potential trend reversals
4. *Support/Resistance* - Dynamic levels based on recent price extremes
5. *Smart Money* - Purple circles indicating high volume activity
Features:
- Customizable parameters in settings
- Visual alerts for BOS signals
- Multiple time frame support
- Clean visual presentation with different colors/shapes
Note: This is a conceptual script - always test strategies before live trading. These concepts work best when combined with proper risk management and market context analysis.
Trading Sessions IndicatorTrading Sessions Indicator simple way
show ny london asia session
also nyse open
Real-Time Data Error Check _byMDKTests back if there was missing data/bar with respect to selected timeframe and source.
Experienced red data (no-real time data is available) so i come up with the idea.
Regards.
i.redd.it
Fractal Time/Price Scaling Invariance//@version=6
indicator("Fractal Time/Price Scaling Invariance", overlay=true, shorttitle="FTSI v1.2")
// Zeitliche Oktaven-Konfiguration
inputShowTimeOctaves = input(true, "Zeit-Oktaven anzeigen")
inputBaseTime1 = input.int(8, "Basisintervall 1 (Musikalische Oktave)", minval=1)
inputBaseTime2 = input.int(12, "Basisintervall 2 (Alternative Sequenz)", minval=1)
// Preis-Fraktal-Konfiguration
inputShowPriceFractals = input(true, "Preis-Fraktale anzeigen")
inputFractalDepth = input.int(20, "Fraktal-Betrachtungstiefe", minval=5)
// 1. Zeitliche Fraktale mit skaleninvarianter Oktavstruktur
if inputShowTimeOctaves
// Musikalische Oktaven (8er-Serie)
for i = 0 to 6
timeInterval1 = inputBaseTime1 * int(math.pow(2, i))
if bar_index % timeInterval1 == 0
line.new(bar_index, low - syminfo.mintick, bar_index, high + syminfo.mintick, color=color.new(color.blue, 70), width=2)
// Alternative Sequenz (12er-Serie)
for j = 0 to 6
timeInterval2 = inputBaseTime2 * int(math.pow(3, j))
if bar_index % timeInterval2 == 0
line.new(bar_index, low - syminfo.mintick, bar_index, high + syminfo.mintick, color=color.new(color.purple, 70), width=2)
// 2. Korrigierte Preis-Fraktal-Erkennung
var fractalHighArray = array.new_line()
var fractalLowArray = array.new_line()
if inputShowPriceFractals
// Fractal Detection (korrekte v6-Syntax)
isFractalHigh = high == ta.highest(high, 5)
isFractalLow = low == ta.lowest(low, 5)
// Zeichne dynamische Fraktal-Linien
if isFractalHigh
line.new(bar_index , high , bar_index + inputFractalDepth, high , color=color.new(color.red, 80), style=line.style_dotted)
if isFractalLow
line.new(bar_index , low , bar_index + inputFractalDepth, low , color=color.new(color.green, 80), style=line.style_dotted)
// Array-Bereinigung
if array.size(fractalHighArray) > 50
array.remove(fractalHighArray, 0)
if array.size(fractalLowArray) > 50
array.remove(fractalLowArray, 0)
// 3. Dynamische Übergangszonen (Hesitationsbereiche)
transitionZone = ta.atr(14) * 2
upperZone = close + transitionZone
lowerZone = close - transitionZone
plot(upperZone, "Upper Transition", color.new(color.orange, 50), 2)
plot(lowerZone, "Lower Transition", color.new(color.orange, 50), 2)
// 4. Skaleninvariante Alarmierung
alertcondition(ta.crossover(close, upperZone), "Breakout nach oben", "Potenzielle Aufwärtsbewegung!")
alertcondition(ta.crossunder(close, lowerZone), "Breakout nach unten", "Potenzielle Abwärtsbewegung!")
