Buy Sell Signal Pro New (iqraa888)Buy Sell Signal Pro New • by iqraa888
This indicator generates BUY/SELL signals based on EMA trend change and includes ATR-based risk management levels.
Key Features
Trend logic: Fast EMA vs Slow EMA (trend flip detection)
Optional candle confirmation (bullish candle for BUY / bearish candle for SELL)
Automatic SL/TP using ATR with configurable Risk:Reward
Intermediate target levels (TP1, TP2, …) and final TP
Right-side TP number boxes beside each target line
Yellow diamond shows invalidation when an opposite signal appears while in a position
Alerts: BUY, SELL, TP hit, SL hit, Invalidation
Notes
Designed for intraday timeframes (15/30/45 min).
Not financial advice. Always backtest and manage risk.
Indicadores e estratégias
Anya1This script is a **Trend-Following Momentum Strategy** specifically designed for **Gold (XAUUSD)** but applicable to other assets. It combines an oscillator (to find entry points) with two moving averages (to ensure you are trading with the trend).
Here is a breakdown of how the logic works and how to read the signals on your chart.
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### 1. The Strategy "Gears" (The Filters)
The script uses a "triple-filter" system. A signal is only generated when all three of these conditions click into place at the exact same time:
* **Gear 1: Momentum (Cipher Twister):** This oscillator looks for "turning points." It identifies when the market is exhausted.
* **Buy:** The momentum lines cross while **below the zero line** (recovering from oversold).
* **Sell:** The momentum lines cross while **above the zero line** (dropping from overbought).
* **Gear 2: Medium-Term Trend (MA 25):** The price must be on the "correct" side of the **Yellow Line**. This ensures that the immediate price action is moving in your favor.
* **Gear 3: Macro Trend (MA 150):** This is the final gatekeeper (the **White Line**). You are forbidden from buying if the price is below this line, and forbidden from selling if it is above. This keeps you on the right side of the "Big Picture."
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### 2. How to Read the Signals
| Signal | Chart Visual | Rule |
| --- | --- | --- |
| **BUY** | **Green "BUY" Label** | Price is above the Yellow & White lines + Oscillator crossed below zero. |
| **SELL** | **Red "SELL" Label** | Price is below the Yellow & White lines + Oscillator crossed above zero. |
**Visual Confirmation:** The script will also highlight the background in **Lime** for a Buy and **Red** for a Sell to make it impossible to miss.
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### 3. Risk Management (The Exit)
This version is built as a **Strategy**, meaning it has a built-in "Exit Plan" for every trade:
* **Stop Loss (SL):** 100 Pips ($10.00 move in Gold).
* **Take Profit (TP):** 120 Pips ($12.00 move in Gold).
When a trade is entered, TradingView will automatically track the price. If it hits your target, the trade closes in profit. If it hits your stop, it closes to protect your capital.
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### 5. Best Use Cases
* **Trending Markets:** This script thrives when Gold is in a clear uptrend or downtrend.
* **Timeframes:** It is most effective on the **15-minute (15M)** or **1-hour (1H)** charts. Lower timeframes (like the 1M) may hit the Stop Loss too frequently due to market noise.
**Would you like me to add a "Trailing Stop" feature, so the strategy locks in profits automatically as the price moves in your favor?**
VIOP Scalping - ATR SNIPERVIOP Scalping – ATR SNIPER is a momentum-based scalping strategy designed to capture short, high-probability moves while keeping risk strictly defined using ATR-based stop-loss and fixed risk/reward targets. The strategy trades only when trend direction, momentum, and strength are aligned.
This script is provided for educational and testing purposes only. It does not guarantee profitability and must be used with proper risk management.
Core Idea
Trade in the direction of the dominant trend, confirm momentum acceleration, and manage risk using ATR-based dynamic stops and targets.
How the Strategy Works
The main trend is defined using a Weighted Moving Average (WMA).
Momentum is measured by the distance and direction between a fast EMA and a slow EMA.
Trend strength is confirmed using ADX.
RSI is used as a filter to avoid weak or overextended market conditions.
Entries are blocked during a predefined no-trade time window to avoid high-noise periods.
Long Entry Conditions
Fast EMA is above Slow EMA and the EMA difference is greater than the minimum threshold.
EMA momentum is increasing compared to the previous bar.
RSI is within the user-defined long range.
Current close is higher than the previous close.
ADX is above the minimum strength threshold.
Price is above the WMA trend line.
The current bar is not inside the no-trade session.
Short Entry Conditions
Fast EMA is below Slow EMA and the EMA difference is below the negative threshold.
Bearish EMA momentum is increasing.
RSI is within the user-defined short range.
Current close is lower than the previous close.
ADX is above the minimum strength threshold.
Price is below the WMA trend line.
The current bar is not inside the no-trade session.
Risk Management – ATR Sniper Logic
Stop-loss distance is calculated as ATR multiplied by the ATR Multiplier.
Take-profit distance is calculated using the defined Risk/Reward ratio.
Stop-loss and take-profit levels are dynamically calculated per trade.
Only one position can be open at any given time.
What You See on the Chart
Weighted Moving Average (WMA) trend line.
Fast EMA and Slow EMA lines.
Dynamic stop-loss line during active trades.
Dynamic take-profit line during active trades.
Recommended Use
Intraday scalping on VİOP instruments.
Momentum-based short-term trading.
Traders who prefer rule-based systems with strict risk control.
Always backtest and forward-test on your own instruments and timeframes before using this strategy in live markets.
APC HIRO Proxy Flow PressureAP Capital – HIRO Proxy (Flow Pressure)
AP Capital – HIRO Proxy is a price- and volume-based flow pressure oscillator designed to approximate institutional hedging / directional pressure using only native chart data.
⚠️ This is a proxy model. It does not use options-market data or real SpotGamma HIRO feeds.
🔍 What this indicator does
The indicator measures directional efficiency × volume pressure on every bar, accumulates it intraday, and then normalizes the result using a Z-score so it adapts cleanly across symbols and timeframes.
The output is displayed as candle-style pressure bars, making momentum shifts and pressure flips visually obvious.
🧠 Core Logic
Directional Efficiency
Measures how effectively price closes within its candle range
Strong closes near highs/lows increase pressure
Volume Weighting
Pressure is weighted by volume (optionally logarithmic)
Prevents single spikes from distorting the signal
Cumulative Flow
Pressure accumulates bar-by-bar
Optional daily reset for intraday trading
Z-Score Normalization
Normalizes pressure relative to recent history
Allows consistent thresholds across assets
📊 How to read the indicator
Green candles above zero
→ Net bullish pressure (buyers in control)
Red candles below zero
→ Net bearish pressure (sellers in control)
Zero line
→ Neutral balance / transition zone
±1 / ±2 Z-Bands
→ Elevated or extreme pressure conditions
Triangle signals
▲ Up Pressure → Z-score crosses above positive threshold
▼ Down Pressure → Z-score crosses below negative threshold
⚙️ Inputs & Controls
Core
Smoothing length
Z-score lookback
Log-volume weighting
Daily reset toggle
Filters
ATR-based dead-market filter
ATR length
Display
Zero line on/off
Z-score bands on/off
Signal threshold control
📈 Best use cases
Intraday momentum confirmation
Detecting pressure shifts before breakouts
Trend continuation filtering
Compression → expansion environments
Pairing with structure, VWAP, EMAs, or session levels
🚫 What this indicator is NOT
Not real options flow
Not SpotGamma HIRO
Not predictive on its own
This tool is designed to support decision-making, not replace risk management.
⚠️ Disclaimer
This indicator is provided for educational purposes only.
No financial advice. Trading involves risk.
Algomist - Adaptive Velocity Cross🚀 Algomist: The Adaptive Velocity Cross (AVC)
Automate Your Edge
This strategy transcends the limitations of classic Moving Average (MA) crossovers. The Adaptive Velocity Cross (AVC) is a state-of-the-art trend-following system designed for automated execution, filtering out low-probability whipsaws and prioritizing high-momentum breakouts in volatile markets.
It's not just a signal generator; it's a fully automated, risk-managed trading plan that delivers structured trade signals directly to your Algomist account.
🔥 Key Features & Technology
Adaptive Hull Moving Averages (HMA): Utilizes the Hull MA to significantly reduce lag compared to standard EMAs and SMAs. The faster and slower HMAs provide a highly responsive gauge of short-term and medium-term trend direction.
Multi-Layer Volatility Filtering: Trades are strictly prohibited during flat, low-volatility market conditions.
Current Timeframe Filter (ATRMinFilter): Ensures trades only fire when current market momentum is strong enough to carry the trend.
Higher Timeframe Filter: Checks the ATR on a higher timeframe (e.g., 1H) to confirm the structural trend strength, preventing entries during tight squeezes.
Visual Trend Velocity: The space between the Fast (Blue) and Slow (Pink) HMAs is colored and filled, providing an immediate visual cue for trend direction and strength (width of the band).
Asymmetric Risk Management: Uses the dynamic Average True Range (ATR) to calculate Stop Loss and Take Profit levels, ensuring risk and reward are proportional to current market volatility.
⚙️ How It Works (The Logic)
The AVC only executes a trade when all three high-conviction criteria are met:
Trend Signal: The Fast $\text{HMA}$ crosses the Slow $\text{HMA}$ (Crossover).
Volatile Market Confirmation: The market must be sufficiently volatile on both the current timeframe and the higher structural timeframe ($\text{ATR}$ filters passed).
Risk Management: A defined $\text{SL}$ (Stop Loss) and $\text{TP}$ (Take Profit) are calculated based on the current market $\text{ATR}$ to manage the position before entry.
🤖 Automation Ready
The strategy is built with automation as the priority. Upon a confirmed entry, the script sends a cleanly formatted JSON string via a TradingView Webhook alert to Algomist. Create your account and get your own web hook @ www.algomist.app
Example Alert Output:
{
"symbol": "ETHUSDC",
"side": "LONG",
"entry_price": 67500.0,
"stop_loss": 66000.0,
"take_profit": 70000.0,
"timestamp": 1766715660462
}
This signal is ready for immediate consumption by your Algomist execution engine, ensuring lightning-fast and error-free order placement.
📊 Recommended Use
Asset Class: Highly effective on high-liquidity, high-volatility assets (e.g., Crypto Majors, Forex Pairs, Indices).
Timeframes: Works best on 1m to 15 min charts.
Risk Profile: Medium-to-High frequency trend-following system.
Disclaimer: The strategy code provided is for informational and educational purposes. Past performance is not indicative of future results. Always backtest and forward-test any automated strategy extensively before using real capital.
Wyckoff v1.3: Effort vs ResultThis script helps a trader know the actions of smart money - clearly differentiating between valid and in-valid price moves. It is a not script that'll give you buy/sell signals, but in a very Wyckoff way give you the essentials of tape reading of the current chart.
Code Algo: From current candle to previous N candles (N is variable), it calculates a parameter called R = (high-low)/volume; for each candle, hence forming a distribution of R's. Hence, parameter R takes into account the price-volume relationship together, combined which is paramount for Wyckoff reading. Then it calculates mean (M) and standard deviation (sigma) of all those R's. Hence, M denotes the regular price movements expected from a given volume, which will also be a 'valid' move. Then we calculate ranges M-x*sigma and M+x*sigma (where x is a constant) for 3 values of x: 0.5, 1.5 and 2.2. These ranges give us deviations from M, split into 3 different levels. 1st range (E1) is closer to M, 2nd range (E2) is slightly more deviated from M, 3rd range (E3) includes large deviations and 4th range (E4) gives us largest deviations (highest Wyckoff invalidation). Henceforth, we can assess the current candles R value and check which range does it fall into. This gives us the validation degree of this current candle's move in perspective of how the market behaved previously. We assign symbol '+' for this current candle if R>M (hence showing exhaustion) or '-' if R
The Setup Factory BreadthThe Setup Factory Breadth
Layer 1: Participation (Adv-Decl Issues)
Calculation: It takes the number of NYSE stocks currently going up and subtracts the number of stocks currently going down.
Layer 2: Conviction (Up - Down Volume)
Calculation: It takes the total volume of all stocks moving up and subtracts the volume of all stocks moving down.
Layer 3: Diversification (The Sector Count)
Calculation: It looks at the 11 S&P 500 Sector ETFs (XLK for Tech, XLF for Banks, etc.). It checks if each one is trading higher than its previous day’s close.
It is updated live intraday.
Forex Supertrend 15m Entry + 1H EMA200 Filterworks well for trend trading using superttend 1h and 15 m
Liquidation Map [Alpha Extract]A sophisticated liquidity distribution visualization system that identifies potential liquidation zones through pivot-based detection and renders them as an interactive histogram with cumulative distance-to-liquidation curves. Utilizing multi-exchange volume aggregation and ATR-scaled pocket detection, this indicator delivers institutional-grade liquidity mapping with real-time histogram display showing relative concentration of long and short liquidation levels across configurable price ranges. The system's box-based rendering architecture combined with cumulative distribution overlays provides comprehensive visual assessment of asymmetric liquidity positioning for strategic trade planning.
🔶 Advanced Multi-Exchange Aggregation Framework
Implements intelligent ticker detection and multi-source volume aggregation across major exchanges including Binance, Bybit, KuCoin, OKX, and MEXC for accurate liquidity weight calculations. The system automatically identifies base currency (BTC, ETH, SOL) from chart ticker, retrieves volume data from matching perpetual contracts across multiple venues, and aggregates into composite volume metric for enhanced pocket weighting accuracy.
🔶 Pivot-Based Liquidation Pocket Detection
Features sophisticated swing point identification using configurable pivot width with ATR-scaled vertical zone construction for volatility-adaptive pocket sizing. The system detects pivot highs for short liquidation zones (placed above swing) and pivot lows for long liquidation zones (placed below swing), applying 200-period ATR with percentage multipliers to determine pocket heights that adjust to market volatility conditions.
🔶 Interactive Histogram Visualization Engine
Provides real-time box-based histogram rendering in indicator pane with configurable bin counts (up to 400 columns) and adjustable height, displaying liquidity concentration across fixed percentage range above and below current price. The system calculates bin sizes from view range, accumulates pocket weights into price bins, and renders vertical bars with gradient color intensity reflecting relative liquidity concentration at each price level.
🔶 Cumulative Distance Overlay System
Implements innovative cumulative distribution curves showing aggregate liquidity distance from current price for both long (left) and short (right) positions. The system calculates running totals of pocket weights from current price outward in both directions, normalizes against maximum span, and overlays line segments showing how much total liquidity exists at various distances, enabling instant assessment of liquidation cascade potential.
🔶 Dynamic Price Range Adaptation
Features fixed percentage-based view window that maintains consistent price range visualization across all timeframes and instruments, automatically centering histogram on current price with configurable +/- percentage bounds. The system recalculates histogram bins and pocket distributions on each bar close, ensuring visualization adapts to price movement while maintaining interpretable scale regardless of volatility regime.
🔶 Touch Detection and Weight Adjustment
Provides intelligent pocket state tracking that identifies when price trades through liquidation zones and applies configurable weight multipliers to touched pockets for historical context. The system monitors price interaction with pocket midpoints, marks pockets as "hit" when violated, and optionally increases their visual weight (default 5x) to emphasize historical liquidation levels while distinguishing from untouched future zones.
🔶 Gradient Intensity Color System
Implements sophisticated color gradient engine that modulates bar opacity from transparent to opaque based on relative liquidity concentration within each bin. The system normalizes bin values against maximum liquidity, applies color interpolation from faded to vivid hues, and distinguishes long liquidation zones (cyan) from short liquidation zones (yellow/gold) with current price column highlighted in red for instant orientation.
🔶 Performance-Optimized Rendering Architecture
Utilizes efficient box and line object management with dynamic allocation based on histogram configuration, implementing intelligent cleanup and reuse to maintain smooth performance. The system includes adaptive line budget calculations that adjust segment density for cumulative curves based on available object limits, ensuring consistent operation even with maximum histogram resolution settings.
🔶 Asymmetric Distribution Analysis
Calculates separate cumulative distributions for long and short liquidation zones split at current price, enabling identification of imbalanced liquidity positioning. The system normalizes distributions against respective maximums and overlays both curves on single histogram, allowing traders to instantly assess whether more liquidation risk exists above (shorts vulnerable) or below (longs vulnerable) current price levels.
🔶 Configurable Label and Scale System
Provides price axis labeling with adjustable frequency to reduce clutter while maintaining reference points, displaying price values at regular column intervals with configurable offset positioning. The system includes current price label showing exact value and percentile position within view range, offering both absolute price reference and relative positioning context for distribution interpretation.
🔶 Historical Pocket Persistence Framework
Maintains rolling window of liquidation pockets up to 3000 bars with automatic expiration management and optional preservation of touched zones for historical analysis. The system tracks pocket creation time, monitors age against lookback limits, and manages array cleanup to prevent memory overflow while retaining relevant historical liquidation levels for pattern recognition and support/resistance validation.
This indicator delivers sophisticated liquidity distribution analysis through histogram visualization and cumulative distance curves that reveal asymmetric positioning of potential liquidation levels. Unlike simple liquidation heatmaps that show absolute levels, the Liquidation Map's cumulative distribution overlays instantly communicate how much total liquidity exists at various distances from current price, enabling assessment of cascade potential. The system's multi-exchange volume aggregation, touch-weighted historical zones, and fixed-range visualization make it essential for traders seeking strategic positioning around institutional liquidity clusters in cryptocurrency futures markets. The histogram format enables instant identification of price levels where concentrated liquidations may trigger significant volatility or reversal events, while the asymmetric distribution curves reveal whether market structure favors upside or downside cascades.
Trend Table (Gradient Pill)Single-row layout with each timeframe as a "pill" cell (label + arrow combined)
Background color changes to teal green for bullish, coral red for bearish
White text on colored backgrounds for better contrast
Cleaner arrows (▲/▼) instead of emoji arrows
Transparent outer frame with subtle border
30bb//@version=5
indicator("BB Open SMA 30 (2.5 / 1.5)", overlay=true)
// 공통 설정
length = 30
src = open
// 중심선 계산 (표시는 안 함)
basis = ta.sma(src, length)
// 표준편차
dev = ta.stdev(src, length)
// BB 2.5
upper_25 = basis + dev * 2.5
lower_25 = basis - dev * 2.5
// BB 1.5
upper_15 = basis + dev * 1.5
lower_15 = basis - dev * 1.5
// 선 그리기
u25 = plot(upper_25, title="Upper 2.5", color=color.new(color.red, 0))
l25 = plot(lower_25, title="Lower 2.5", color=color.new(color.red, 0))
u15 = plot(upper_15, title="Upper 1.5", color=color.new(color.blue, 0))
l15 = plot(lower_15, title="Lower 1.5", color=color.new(color.blue, 0))
// 음영 처리
fill(u25, l25, color=color.new(color.red, 85))
fill(u15, l15, color=color.new(color.blue, 85))
Yield Spread [Breakout Fixed]This is an indicator used to view interest rate spread（mainly 5-year yield spread）. It simply draws a Turtle Channel breakout (a channel of the highest high and lowest low over the past X days).
The logic behind this indicator is that interest rate differentials serve as an important reference for global capital in currency trading. A very famous example is the Yen carry trade. If the interest rate of a currency pair breaks out ahead of its price chart, it might be worth considering the broader macro trend. (Of course, this isn’t always accurate—it’s just for reference.)
The main data source is from TradingView.
这是一个用来查看利率差的指标。简单的画了海龟突破（过去X天最高和最低的通道）
这个指标的逻辑是，利率差是全球资金对于外汇交易的重要参考。非常著名的就是日元套息交易。如果一个货币对的利率先于图形突破了，那可能得思考一下宏观大方向。（当然这不一定对，只是参考）
主要用的数据源是tradingview上面找的。
Inside and Outside Bar@55Explanation
Definition of Inside Bar:
Loose Definition: The high and low of the current candlestick are both within the high and low range of the previous candlestick.
Strict Definition: One extreme value (either high or low) of the current candlestick is equal to that of the previous candlestick, while the other extreme value falls within the range of the previous candlestick.
Definition of Outside Bar:
Loose Definition: The high of the current candlestick is higher than that of the previous candlestick, and the low of the current candlestick is lower than that of the previous candlestick.
Strict Definition: One extreme value (either high or low) of the current candlestick is equal to that of the previous candlestick, while the other extreme value breaks through the range of the previous candlestick.
plotshape Function: If an inside bar or outside bar is detected, the letter i (for inside bar) or o (for outside bar) will be displayed above the corresponding candlestick.
Parameters:
tightInside: When this toggle is enabled, the definition of an inside bar will be more strict, meaning one extreme value equals that of the previous candlestick and the other extreme value stays within the range of the previous candlestick.
tightOutside: When this toggle is enabled, the definition of an outside bar will be more strict, meaning one extreme value equals that of the previous candlestick and the other extreme value breaks through the range of the previous candlestick.
CAP - CSI [Auto-MTF]The CAP - CSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." While traditional oscillators often fail in trending markets by staying "pinned" at extremes, the CSI uses a recursive dual-thrust processor to isolate the underlying market rhythm, helping traders identify when a cycle is genuinely exhausted.
Core Methodology
This script implements a Cycle Swing Momentum processor. It calculates the difference between short-term and long-term "thrusts" to extract the dominant cycle from price action. Unlike static indicators, it uses Dynamic Percentile Banding to adapt its overbought and oversold levels based on the market's recent "cyclic memory."
Key Features
Pivot Point Detection: Identifies exhaustion when the CSI extends outside its dynamic bands and begins to pivot back toward the mean.
Trend-Aware Coloring: The area fill uses slope-based logic to differentiate between "Rising/Falling" momentum and "Bullish/Bearish" strong zones.
HTF (5x): Built-in logic to define the larger cycle trend. I recommend using a 5x multiplier (e.g., viewing 4H cycles on a 1H chart) to ensure you are trading with the macro flow.
Zero Line Equilibrium: Clear visualization of the cycle's position relative to its center-point to determine the current market regime.
The "Trending" Challenge
A common pitfall with DSP-based cycle tools is that they can generate "phantom" signals during powerful, linear trending conditions. This script is my attempt to solve that by integrating HTF confluence and slope-based filtering. It is specifically optimized for:
Futures: ES, NQ, RTY, and GC.
US Equities: (NVDA, TSLA, etc.).
Additional tip, search for Strong relative strength Symbols, I've created this script : CAP - Mansfield Relative Strength, but there are many there "Mansfield Relative Strength" indicators available.
Why I am sharing this
This is an ongoing project. I am releasing this to the public to connect with other traders interested in Lars von Thienen’s work or John Ehlers’ DSP techniques. My goal is to collaborate with the community to refine the processor further and build a consistent, profitable system that can distinguish between a cycle turn and a trend continuation.
mk bollinger bands signals - free overly trueThis is the FREE version of MK Bollinger Bands Signals.
A clean and simple Bollinger Bands indicator designed to keep the chart clear.
It provides basic Buy & Sell signals for educational and intraday use.
This version is intended as a free release.
Advanced features and a PRO version may be released separately.
MTF Dynamic MA TrackerThis indicator allows you to track the behavior of price relative to a key Moving Average across up to 9 different timeframes simultaneously.
The idea behind this tool is to see what your favourite MA is doing at various TFs while solving the problem of "chart clutter." Plotting 9 different Moving Averages on a single chart usually results in a messy interface that is hard to read. This script solves that using Dynamic Dimming.
Default Settings:
By default, the script is configured to track the EMA 200 (Exponential Moving Average). However, this is for illustration purposes only. You can fully customize the indicator to track your preferred Moving Average Type (EMA, SMA, HMA, WMA, or RMA) and your preferred Length (e.g., 50, 100, 200) in the settings menu.
Key Features:
Multi-Timeframe Tracking:
Monitor your chosen Moving Average across 9 user-defined timeframes (e.g., 1m, 5m, 15m, 1H, 4H, Daily, etc.) directly on your current chart.
Dynamic Visibility (Dimming):
By default, the MA lines remain transparent (dimmed) to keep your chart clean.
The lines automatically brighten (light up) only when the price comes within a specific proximity of the MA. This highlights immediate Support or Resistance levels without visual noise.
You can customize the "Proximity Method" using either a Percentage of price or an ATR multiplier.
Tag Detection & Alerts:
The script detects "Tags"—moments where price interacts with a Moving Average (e.g., wicks into it and closes back above/below).
Bull Tag (Support): Price dips into the MA but closes above it.
Bear Tag (Resistance): Price spikes into the MA but closes below it.
You can set alerts to trigger whenever these interactions occur on any monitored timeframe.
Dashboard (Nexus):
A status table displays "Clusters" (when price is near multiple MAs simultaneously) and lists any active Bull/Bear tags occurring on the current bar.
Customization:
MA Type: Choose between EMA, SMA, HMA, WMA, or RMA.
MA Length: Input any length (Default: 200).
Timeframes: Individually enable/disable and select up to 9 specific timeframes.
Dimming: Adjust the transparency for "dimmed" vs "bright" states.
Strategy MTF ScannerDescription:
Stop guessing which timeframe is best for your strategy. This tool performs a "Top-Down Analysis" instantly by running a unified strategy simulation across 5 different timeframes simultaneously.
Why Use This?
A strategy that fails on the 1-Hour chart might print massive returns on the 4-Hour chart due to reduced noise. This scanner calculates the Equity Curve, Max Drawdown, and Win Rate for 15m, 1H, 4H, Daily, and Weekly charts (customizable) and presents the winner in a dashboard.
Features:
Simultaneous Backtesting: Runs 5 independent simulations inside request.security.
Equity & Drawdown Tracking: See not just how much you make, but how much risk is required on each timeframe.
Instant Comparison: Identify "Fractal Resonance" where multiple timeframes align in profitability.
Strategy Logic (Fully Customizable):
The default entry logic is a generic EMA 9/21 Crossover with a Trend Filter.
Note: This is an open-source framework. You can modify the calc_strategy_results function in the source code to substitute the crossover with your own custom entry conditions (RSI, Stochastic, Price Action, etc.).
Workflow:
Load this scanner to identify the dominant timeframe (e.g., 4H).
Switch your chart to the 4H timeframe.
Use the Strategy Grid Optimizer to fine-tune the specific EMA and ATR settings for that timeframe.
Intervalo de la confianza 10 Bollinger Bands y IC-FUD12 Y 14Este Intervalo de la Confianza= IC-10 Bollinger Bands les puede ser una herramienta para
ver donde se encuentra el precio si en FOMO o FUD
Analicen la parte de abajo del Bollinger Bands, donde IC-10 FUD cruza arriba de IC-14 FUD.
Esta herramienta no es in ningun momento una forma de consejo de inversion ni de trading.
Cada quien va con sus propios riesgo en perdidas porque en ganancias nadie comparte sus ganancias nadie comparte sus perdidas.
This Confidence Interval (CI-10) Bollinger Bands can be a tool to help you see where the price is in terms of FOMO or FUD. Analyze the lower part of the Bollinger Bands, where the CI-10 FUD crosses above the CI-14 FUD.
This tool is not, under any circumstances, investment or trading advice. Everyone assumes their own risk of loss, because no one shares their profits or losses.
Strategy Grid Optimizer (Trend & Risk)Description:
This tool transforms your chart into a powerful backtesting engine that runs hundreds of simulations per second. It is designed to solve the "Parameter Stability" problem: finding the settings that work robustly, rather than curve-fitting to a single number.
How It Works:
Instead of testing one setting at a time, this script uses Pine Script Arrays to run a "Grid Search" on your chart history:
Trend Filter: It iterates through a range of EMA Lengths (e.g., 20, 30, 40... to 200).
Risk Management: It iterates through a range of ATR Multipliers (e.g., 1.0, 1.5, 2.0...) for the trailing stop.
The Result: It ranks every combination based on Net Profit, Drawdown, and Win Rate, instantly highlighting the "Sweet Spot" for the current asset.
Strategy Logic (Fully Customizable):
By default, this script demonstrates a standard EMA 9/21 Crossover.
Developers & Traders: This script is designed as a Template. You can easily open the Source Code and replace the entry_signal logic with any strategy you wish (e.g., RSI, MACD, Bollinger Bands, or your own proprietary logic). The optimizer engine will work with whatever signal you provide.
Workflow:
Use the MTF Scanner to find the best Timeframe.
Load this Grid Optimizer on that timeframe.
Adjust the "Start" and "End" ranges in settings.
The table will reveal the optimal Trend/Risk combination for your strategy.
CAP - cRSI cyclic smoothed [MTF]Introduction This indicator is a Multi-Timeframe (MTF) adaptation of the Cyclic Smoothed RSI (cRSI), based on the foundational work of Lars von Thienen and his book "Decoding The Hidden Market Rhythm". It allows traders to visualize cyclic momentum and identify potential turning points by adapting standard RSI calculations to a dominant market cycle.
How It Works Unlike a standard RSI which uses fixed periods, the cRSI uses "cyclic memory" to adjust its sensitivity:
Cyclic Smoothing: It smooths the RSI based on a user-defined Dominant Cycle Length (default: 20 bars).
Dynamic Bands: Instead of static overbought/oversold levels (like 70/30), this script calculates dynamic upper and lower bands that adapt to recent volatility and cyclic distribution.
MTF Capability: You can view the cRSI of a higher timeframe (e.g., Daily) while looking at a lower timeframe chart (e.g., H1) to align your entries with the broader trend.
My Trading Strategy & Context I am sharing this to start a conversation on how to optimize cyclic tools for Equity markets. My current workflow is:
- Timeframe: I analyze Daily candles for the main trend but look for entries on Intraday (H1).
- Confluence: I combine this cRSI with the CSP - CSI (Cyclic Swing Indicator).
- Momentum & Trend: I use Williams %R to read immediate momentum, and check trend direction using EMA9 and SMA30.
- Entries: On the H1 chart, I look for VWAP interactions to trigger the entry once the Daily cRSI confirms the cycle low/high.
Let's Collaborate I am looking for constructive feedback to refine this strategy. Please leave a comment below regarding:
- Settings: Have you found a Dominant Cycle Length other than 20 that works better for Crypto or FX volatility?
- Filtering: What filters do you use to avoid "catching a falling knife" when the bands widen significantly?
- Backtesting: If you have visual backtest results using this with VWAP, please share your findings.
Note: This script is for educational purposes and collaborative research. Please backtest all strategies before live trading.
#Cycles, #RSI, #Momentum, #Lars von Thienen, #MTF
Whale Hunter PRO - TOMGOODCAR V1 Signals, Entry Trigger Conditions, Interpretation, and Labels on the Chart:
WHALE BUY: zUp (Standard Price Accumulation) crosses above 3.5, indicating very strong accumulation or buying pressure, which is 3.5 standard deviations above the historical average (50 candlesticks). WHALE BUY (Explosive Power)
WHALE SELL: -zDn (Negative Standard Price Distribution) crosses below -3.5, indicating very strong distribution or selling pressure, which is 3.5 standard deviations above the historical average (50 candlesticks). WHALE SELL (Smash Down)
XRP Cycle Timing 42XRP Cycle Timing (42) is a time-based market structure indicator designed to visualize recurring cycle behavior using evenly spaced timing nodes. It focuses on when potential structural transitions occur rather than predicting price direction outright.
The indicator projects repeating cycle points across past, current, and future market phases, allowing traders to study rhythm, symmetry, and temporal alignment in price action.
How It Works
The script divides market activity into repeating cycles of fixed length (default: 42 bars) and marks six internally consistent timing points within each cycle. These points are plotted as vertical guides and labeled numerically (1–6).
Optional timing windows highlight tolerance zones around each cycle point, helping users observe how price interacts with these recurring time intervals.
In addition, the indicator can display HIT markers when short-term momentum conditions align with a cycle point. These events are intended as contextual confirmations, not trade signals.
Intended Use
This indicator is best used to:
Study market rhythm and repetition
Compare current price behavior to prior cycles
Identify late-cycle vs early-cycle conditions
Provide time-based context alongside other tools such as trend, momentum, or volatility indicators
It is not a standalone trading system and should be used in conjunction with other forms of analysis.
Asset-Specific Settings (Important)
⚠️ Current default settings are optimized specifically for XRP.
The cycle length, internal timing points, and momentum sensitivity were calibrated using XRP historical behavior.
While the indicator can be applied to other assets, optimal results typically require manual adjustment of:
Cycle length
Timing point spacing
Momentum confirmation settings
Different assets often exhibit different temporal structures, so users are encouraged to experiment and adapt settings accordingly.
Customization
Users can:
Adjust cycle length and timing points
Toggle past, current, and future cycle projections
Enable or disable timing windows
Enable or disable HIT confirmations
Modify visual styling for clarity
These options allow the indicator to be adapted to different timeframes, market conditions, and personal workflows.
Notes
This script focuses on time structure, not price targets.
Future cycle projections are for visual reference only and do not imply future price direction.
All drawings update dynamically with new market data.
Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice. Trading involves risk, and users are responsible for their own decisions.
Multi-DMA % Relationships (v6)This script helps determine the momentum of stock and early rise detection. Uses the %gap between multiple moving averages like 20,50,200 . These are user configurable.
current close Vs 20 gap %, 20 vs 50 DMA gap % and 50 vs 200 DMA gap %. The higher the faster DMA % the higher the momentum. Use lower % for close Vs 20 DMA gap to pick early trends of uptrend.
This script also has a Vol. spike detection (user configurable) to add confidence to the DMA spike before taking initial positions.
