tuasab_indytuasab_indy is a breakout strategy indicator that uses Bollinger Bands to identify support (lower band) and resistance (upper band). It shows dotted lines as breakout outlines to visually mark breakout zones.
It uses emoji signals to indicate swing breakouts:
🚀 Rocket signals a breakout below the swing low — prepare to enter a sell position.
🔨 Hammer signals a breakout above the swing high — prepare to enter a buy position.
The breakout percentage threshold is set by default at 30%, which can be increased to adjust sensitivity. The indicator supports layered entry orders at buy1 and buy2 lines for buying, as well as sell1 and sell2 lines for selling. It can also trigger alerts whenever a breakout occurs.
Ciclos
ECG chart - mauricioofsousaMGO Primary – Matriz Gráficos ON
The Blockchain of Trading applied to price behavior
The MGO Primary is the foundation of Matriz Gráficos ON — an advanced graphical methodology that transforms market movement into a logical, predictable, and objective sequence, inspired by blockchain architecture and periodic oscillatory phenomena.
This indicator replaces emotional candlestick reading with a mathematical interpretation of price blocks, cycles, and frequency. Its mission is to eliminate noise, anticipate reversals, and clearly show where capital is entering or exiting the market.
What MGO Primary detects:
Oscillatory phenomena that reveal the true behavior of orders in the book:
RPA – Breakout of Bullish Pivot
RPB – Breakout of Bearish Pivot
RBA – Sharp Bullish Breakout
RBB – Sharp Bearish Breakout
Rhythmic patterns that repeat in medium timeframes (especially on 12H and 4H)
Wave and block frequency, highlighting critical entry and exit zones
Validation through Primary and Secondary RSI, measuring the real strength behind movements
Who is this indicator for:
Traders seeking statistical clarity and visual logic
Operators who want to escape the subjectivity of candlesticks
Anyone who values technical precision with operational discipline
Recommended use:
Ideal timeframes: 12H (high precision) and 4H (moderate intensity)
Recommended assets: indices (e.g., NASDAQ), liquid stocks, and futures
Combine with: structured risk management and macro context analysis
Real-world performance:
The MGO12H achieved a 92% accuracy rate in 2025 on the NASDAQ, outperforming the average performance of major global quantitative strategies, with a net score of over 6,200 points for the year.
Advanced Market Predictor + Universal Stop-Hunt [Dow Presets]Dow presets for the advanced market predator for stop hunts
🤖 Advanced Market Predictor ML (FRD/FGD/3D) + News Sentimentshowcases stop hunts and market trends within any session
🤖 Advanced Market Predictor ML (FRD/FGD/3D) + News Sentimentshowcases market trends and stop hunts within the market
🤖 Advanced Market Predictor ML (FRD/FGD/3D) + News Sentimentshowcases market segments, stop hunts and trends in the market
🤖 Advanced Market Predictor ML (FRD/FGD/3D) + News Sentimentdetects stop hunts and detects volumes within the market
Bar Counts ProThis indicator counts and labels price bars within user-defined trading sessions.
It supports customizable sessions (Asia, Europe, US, or custom) with independent time zones, automatic session-based text coloring, and optional background shading for each market.
Opening and closing markers are plotted for each major session, and bar counts are displayed at a user-defined interval.
Useful for intraday traders tracking bar progress within specific time windows.
POC - Dudix(6h auto)The range of constant live volume from the last 6 hours allows us to see whose side the buyers or sellers are on, we try to trade in the direction when the POC is behind us
xmtr's session highs/lowsMarks Asia & London session highs/lows with precision + PDH/PDL for daily context. Fully customizable & perfect for all traders.
ETH/SOL 1D Dynamic Trend Core - STRATEGY v 45Overview
The Dynamic Trend Core is a sophisticated, multi-layer trading engine designed to identify high-probability, trend-following opportunities. Its core philosophy is rooted in confluence, meaning it requires multiple conditions across trend, momentum, and volume to align before generating a signal. This approach aims to filter out market noise and provide a clearer view of the underlying trend.
The script includes a comprehensive backtesting engine for strategy optimization and a rich, intuitive visual interface for real-time analysis.
How It Works: Core Logic
The engine validates signals through several sequential layers:
Primary Trend Analysis (SAMA): The foundation is a Self-Adjusting Moving Average (SAMA) that dynamically determines the primary market direction (Bullish, Bearish, or Consolidation).
Momentum Confirmation: Signals are then qualified using a blend of the Natural Market Slope and a Cyclic RSI to ensure momentum is firmly aligned with the established trend.
Advanced Filtering Suite: A suite of optional filters provides robust confirmation and allows for deep customization:
Volume & ADX: Confirms that trades are supported by sufficient market participation and trend strength.
Market Regime: Gauges broad market health (e.g., using TOTAL market cap) to avoid trading against the entire market.
Multi-Timeframe (MTF) Analysis: Aligns signals with the dominant trend on a higher timeframe (e.g., Weekly).
BTC Cycle Analysis: Positions trades within the context of historical Bitcoin cycles using models like the Halving Cycle or Mayer Multiple.
On-Chart Visuals & Features
The script provides full transparency into its logic with a powerful on-chart interface.
IMPORTANT: For the live visual elements to function correctly, you must enable "Recalculate on every tick" in the script's settings (Settings > Properties).
Power Core Gauge: Located at the bottom-center of the chart, this gauge is the heart of the system. It displays the number of filter conditions currently met (e.g., 5/6) and "powers up" by glowing brighter as more conditions align, indicating a fully confirmed signal is ready.
Live Conditions Panel: This panel in the bottom-right corner acts as a real-time pre-flight checklist. It shows the status (pass/fail) of every individual filter, so you know exactly why a signal is, or is not, being generated.
Energized Trendline: The primary SAMA trendline changes color and intensity based on the strength and direction of the trend, offering immediate visual context.
BTC Halving Cycle Visualizer: Provides a background color guide to the different phases of the Bitcoin halving cycle for macro context.
How to Use & Configure
Select Operation Mode:
Backtest Mode: Use this to test different settings on historical data and find optimal configurations for a specific asset and timeframe.
Alerts-Only Mode: Use this for live trading to generate alert signals without cluttering the chart with backtest data. (Contact publisher for access to this version)
Configure Your Filters:
Start with the default filter settings.
If a potential setup is missed, check the Live Conditions Panel to see which specific filter blocked the signal.
Enable, disable, or adjust filters in the script's settings to match your trading style and the asset's characteristics.
Manage Your Risk:
Go to the "Risk & Exit" settings to configure your Stop Loss and Take Profit parameters to match your personal risk tolerance.
Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
50 SMA 5-Candle Crossovercatching the cycle using very simple method. at your descrtion.
must know what you are doing.
this will work if you do not follow bindly.
Entropy (Fiedor/Kontoyiannis) - Part 2 of Fiedor's TheoryThis indicator estimates the Shannon entropy of a price series using a Markov chain model of binary returns, following the approach of Fiedor (2014) and Kontoyiannis (1997).
% of Max shows current entropy as a percentage of its theoretical maximum (1 bit for binary up/down moves).
Percentile ranks the current entropy against historical values in the chosen lookback window.
High entropy suggests price movement is less predictable by frequentist models; low entropy implies more structure and predictability.
Use this as an informational oscillator, not a trading signal.
This is a visualization of Part 1 of Fiedor's Theory. The same entropy logic is already embedded in Part 1 however the second pane is a nice reminder of why it works.
Flush with MOMO (repost)The Flush indicator highlights the possible turn of the market cyclical distribution , when a flush takes places within a pinzone there is a higher probability of the arrival of an informed trader. It can lead to a turn in price and if the flush fails it is also a high probability trade to buy/sell for continuation of the market cycle extending.
It is best to use this indicator with the spectrometer to fully understand the concept and to verify the flush as the flush has multiple nuances which can not be coded due to situational differences.
The momentum paddles of the indicator are based on 2 candle pullback which has failed to turn the gaussian cycle so it is unlikely that the price will keep turning so the continuation of the previous move is more probable.
You can change the timeframe of the indicator to track different time frame signals if desired.
Comp Angle Flush in pinzoneThis indicator highlights a combination of continuation and reversals of trends.
You may use this to find entries on a pull back of a trend or to incorporate other elements such as pivots , session high/low for fading.
It is based on the Gaussian curve of distribution.
Dragonview V3.3g]Real Fibonacci Entry Engine – BTC Exclusive
A high-precision Bitcoin-only indicator that combines logarithmic Fibonacci levels, swing points, and dynamic entry/exit zones.
It automatically displays buy/sell signals with stop-loss and take-profit lines, optimized for daily and hourly charts.
Perfect for traders who want clear entries without chart clutter.
Dragonview V3.3g]Real Fibonacci Entry Engine – BTC Exclusive
A high-precision Bitcoin-only indicator that combines logarithmic Fibonacci levels, swing points, and dynamic entry/exit zones.
It automatically displays buy/sell signals with stop-loss and take-profit lines, optimized for daily and hourly charts.
Perfect for traders who want clear entries without chart clutter.
Bullish Divergence SMI Base & Trigger with ATR FilterDescription:
A bullish divergence indicator combining the Stochastic Momentum Index (SMI) and Average True Range (ATR) to pinpoint high-probability entries:
1. Base Arrow (Orange ▲):
• Marks every SMI %K / %D bullish crossover where %K < –70 (deep oversold)—the first half of the divergence setup.
• Each new qualifying crossover replaces the previous base, continuously “arming” the divergence signal.
• Configurable SMI lookbacks, oversold threshold, and a base timeout (default 100 days) to clear stale bases.
2. Trigger Arrow (Green ▲):
• Completes the bullish divergence: fires on the next SMI bullish crossover where %K > –60 and price has dropped below the base arrow’s close by at least N × ATR (default 1 × 14-day ATR).
• A dashed green line links the base and trigger to visually confirm the divergence.
• Resets after triggering, ready for a new divergence cycle.
Inputs:
• SMI %K Length, EMA Smoothing, %D Length
• Oversold Base Level (–70), Trigger Level (–60)
• ATR Length (14), ATR Multiplier (1.0)
• Base Timeout (100 days)
Ideal for any market, this study highlights genuine bullish divergences—oversold momentum crossovers that coincide with significant price reactions—before entering long trades.
MNQ Gap-Fade (ETH) — RTH 08:30–15:00 CT, +/-3m refsStrategy overview
This strategy tests a gap-fade idea on MNQ when trading an ETH chart but referencing RTH timing. It measures the overnight move from 3 minutes before the prior RTH close (14:57 CT) to 3 minutes after today’s RTH open (08:33 CT). If that gap is big enough, it bets on mean reversion at the open:
Short after a large gap up
Long after a large gap down
How it works
Sampling windows (RTH, Chicago time):
Prev close sample: the 14:57 bar (3 min before 15:00 close)
Open sample: the 08:33 bar (3 min after 08:30 open)
These offsets help avoid opening/closing bar noise and ensure the bars have formed.
Overnight % move:
(OpenSample−PrevCloseSample)/PrevCloseSample × 100
Signals (at 08:33 pulse):
If gap % ≥ Gap-Up threshold → enter SHORT
If gap % ≤ −Gap-Down threshold → enter LONG
Risk management:
Per-trade TP and SL as percentages from entry (both adjustable)
If still in a position at 14:57, the strategy forces flat (closes all) before the RTH close
Plots & visibility:
Plots the computed Overnight Gap % line
Horizontal lines at your Gap-Up and Gap-Down thresholds for quick visual checks
Alerts:
alertcondition() events fire on:
the open-sample ready pulse,
gap-up short, and gap-down long conditions
(Pine requires static alert messages; the % gap itself is visible on the chart.)
Inputs you can adjust
Times (CT): RTH open/close and the ±3 min offsets (use different values if desired)
Gap thresholds (%): separate values for gap-up (short) and gap-down (long)
Take-profit / Stop-loss (%): per-side percentage targets from average entry price
Instrument & session notes
Designed for MNQ; works on an ETH chart while internally referencing CME/Chicago (CT) RTH times via 1-minute sampling.
If you prefer different markets or exact ET timestamps, change the time inputs accordingly.
Assumptions & limitations
This is a research/backtest tool for a simple gap-fade rule, not a complete trading system.
Slippage, fills, and overnight liquidity may differ from backtest assumptions.
Mean reversion can fail on trend days and during news events; use filters or wider thresholds if needed.
That should be everything reviewers and users need to understand what it does and how to tune it. Want me to add a short “Suggested defaults” block (e.g., 0.75–1.25% gaps, 1% TP/SL) or a “Known gotchas” section for ETH vs. RTH charts?
Ask ChatGPT
Sweep + Estructura + Pullback (Long & Short)Sweep + Estructura + Pullback (Long & Short)
EFECTIVO EN 5 MIN
Adaptive Correlation Engine (ACE)🧠 Adaptive Correlation Engine (ACE)
Quantify inter-asset relationships with adaptive lag detection and actionable insights.
📌 What is ACE?
The Adaptive Correlation Engine (ACE) is a precision tool for seeking to uncover meaningful relationships between two assets — not just raw correlation, but also lag dynamics, leader detection, and alignment vs. divergence classification.
Unlike static correlation tools, ACE intelligently scans multiple lag windows to find:
✅ The maximum correlation between the base asset and a comparison symbol
⏱️ The optimal lag (if any) at which the correlation is strongest
🧭 Whether the assets are Aligned (positive correlation) or Divergent (inverse)
🔁 Which symbol is leading, and by how many bars
📈 Actionable signal strength based on a user-defined correlation threshold
⚙️ How It Works
Correlation Scan:
For each bar, ACE checks the correlation between the charted asset (close) and a lagged version of the comparison asset across a sliding window of lookback periods.
Lag Optimization:
The engine searches from lag 0 up to your specified Max Lag to find where the correlation (positive or negative) is most significant.
Relationship Classification:
The indicator classifies the relationship as:
Aligned: Positive correlation above the threshold
Divergent: Negative correlation above the threshold
Synchronous: No lag detected
Low Signal: Correlation is weak or noisy
Visual & Tabular Insights:
ACE plots the highest detected correlation on the chart and shows an insight table displaying:
- Correlation value
- Detected lag
- Direction type (aligned/divergent)
- Leading asset
- Suggested action (e.g., “Likely continuation” or “Possible mean reversion”)
💡 How to Use It
Use ACE to identify leadership patterns between assets (e.g., ETH leads altcoins, SPX leads crypto, etc.)
Spot potential lagging trade setups where one asset’s move may soon echo in another
Confirm or challenge correlation-based trading assumptions with data
Combine with technical indicators or price action to time entries and exits more confidently
🔔 Alerts
Built-in alerts notify you when correlation strength crosses your actionable threshold, classified by alignment or divergence.
🛠️ Inputs
Compare Symbol: The asset to compare against (e.g., INDEX:ETHUSD)
Correlation Lookback: Rolling window for calculating correlation
Max Lag Bars: Maximum lag shift to test
Minimum Actionable Correlation: Signal threshold for trade-worthy insights
⚠️ Disclaimer
This tool is for research and informational purposes only. It does not constitute financial advice or a trading signal. Always perform your own due diligence and consult a financial advisor before making investment decisions.
MacD Alerts MACD Triggers (MTF) — Buy/Sell Alerts
What it is
A clean, multi-timeframe MACD indicator that gives you separate, ready-to-use alerts for:
• MACD Buy – MACD line crosses above the Signal line
• MACD Sell – MACD line crosses below the Signal line
It keeps the familiar MACD lines + histogram, adds optional 4-color histogram logic, and marks crossovers with green/red dots. Works on any symbol and any timeframe.
How signals are generated
• MACD = EMA(fast) − EMA(slow)
• Signal = SMA(MACD, length)
• Buy when crossover(MACD, Signal)
• Sell when crossunder(MACD, Signal)
• You can compute MACD on the chart timeframe or lock it to another timeframe (e.g., 1h MACD on a 4h chart).
Key features
• MTF engine: choose Use Current Chart Resolution or a custom timeframe.
• Separate alert conditions: publish two alerts (“MACD Buy” and “MACD Sell”)—ideal for different notifications or webhooks.
• Visuals: MACD/Signal lines, optional 4-color histogram (trend & above/below zero), and crossover dots.
• Heikin Ashi friendly: runs on whatever candle type your chart uses. (Tip below if you want “regular” candles while viewing HA.)
Settings (Inputs)
• Use Current Chart Resolution (on/off)
• Custom Timeframe (when the above is off)
• Show MACD & Signal / Show Histogram / Show Dots
• Color MACD on Signal Cross
• Use 4-color Histogram
• Lengths: Fast EMA (12), Slow EMA (26), Signal SMA (9)
How to set alerts (2 minutes)
1. Add the script to your chart.
2. Click ⏰ Alerts → + Create Alert.
3. Condition: choose this indicator → MACD Buy.
4. Options: Once per bar close (recommended).
5. Set your notification method (popup/email/webhook) → Create.
6. Repeat for MACD Sell.
Webhook tip: send JSON like
{"symbol":"{{ticker}}","time":"{{timenow}}","signal":"BUY","price":"{{close}}"}
(and “SELL” for the sell alert).
Good to know
• Symbol-agnostic: use it on crypto, stocks, indices—no symbol is hard-coded.
• Timeframe behavior: alerts are evaluated on bar close of the MACD timeframe you pick. Using a higher TF on a lower-TF chart is supported.
• Heikin Ashi note: if your chart uses HA, the calculations use HA by default. To force “regular” candles while viewing HA, tweak the code to use ticker.heikinashi() only when you want it.
• No repainting on close: crossover signals are confirmed at bar close; choose Once per bar close to avoid intra-bar noise.
Disclaimer
This is a tool, not advice. Test across timeframes/markets and combine with risk management (position sizing, SL/TP). Past performance ≠ future results.
Detector Mecha Profunda M20This indicator identifies a high-probability "Deep Wick Pattern" based on candlestick structure and volume analysis, filtered by the 20-period simple moving average (SMA). A buy signal is generated when the candle has a long lower wick, closes above the previous low, shows bullish structure, and is confirmed by increasing volume — all while the price is trading above the 20 SMA. A sell signal appears under the opposite conditions: a long upper wick, bearish candle closing below the previous high, with increased volume, and price trading below the 20 SMA. This tool helps traders spot potential reversals or continuations with added confirmation from trend direction and volume.