AM Range Sniper [jmaxxx]AM Range Sniper
Overview
AM Range Sniper is a sophisticated morning session trading strategy designed for Micro E-mini Nasdaq-100 Index Futures (MNQ). This strategy capitalizes on the critical 8:30-9:30 AM EST range formation period, implementing precise entry and exit mechanics with advanced risk management.
Key Features
🕐 Time-Based Range Analysis
Range Definition: Automatically identifies and tracks the 8:30-9:30 AM EST range
Trading Window: Active trading from 9:30 AM to 11:00 AM EST (extended for second chance trades)
Session Management: Daily reset ensures clean state for each trading session
🎯 Multiple Entry Patterns
Breakthrough/Retest: Captures price breakthroughs above range with retest opportunities
Long/Short Opportunities: Comprehensive coverage of both directional moves
Breakdown: Identifies bearish breakdowns below range support
Break Up: Detects bullish breakups above range resistance
Range Sweeps: Monitors for range high/low sweeps with reversal entries
⚡ Advanced Risk Management
Configurable Stop Losses: Tick-based stop losses for each trade type
Take Profit Targets: Automatic target calculations based on range size
Hard Close Protection: Automatic position closure at 4 PM EST
Second Chance Feature: Optional second trade opportunity if first trade loses
🔧 Professional Features
Visual Stop Loss Lines: Real-time stop loss visualization on chart
Debug Information Panel: Comprehensive status monitoring
Alert Integration: Customizable alert messages for entries/exits
Flexible Time Settings: Adjustable for different timezones
Strategy Logic
Range Formation (8:30-9:30 AM)
The strategy monitors the first hour of trading to establish the day's range. This range serves as the foundation for all subsequent trading decisions.
Entry Conditions
Breakthrough: Price breaks above range high with retest rejection
Breakdown: Price breaks below range low with confirmed bearish momentum
Break Up: Price breaks above range high with strong bullish confirmation
Sweep Entries: Range high/low sweeps followed by reversal signals
Risk Management
Stop Loss: Configurable tick-based stops for each trade type
Take Profit: 1.5x range size targets for breakdown/breakup trades
Position Sizing: Percentage-based position sizing
Session Limits: Maximum 2 trades per session (with second chance feature)
Settings & Customization
Core Parameters
Enable/disable individual entry patterns
Configurable stop loss levels (1-500 ticks)
Second chance feature toggle
Previous day level integration
Visual Customization
Customizable stop loss colors and widths
Debug panel visibility
Range line styling
Alert Configuration
Custom entry/exit alert messages
***** Automate With *****
APEX
NinjaTrader
Crosstrade.io ( promo code JMAXXX )
Performance & Reliability
Precision Focused: Waits for high-probability setups
Risk-Aware: Comprehensive stop loss and position management
Session-Based: Clean daily resets prevent carryover issues
Professional Grade: Designed for serious traders
Ideal For
Day Traders: Morning session specialists
Futures Traders: MNQ and similar instruments
Range Traders: Traders who capitalize on range breakouts
Risk-Conscious Traders: Those who prioritize risk management
Disclaimer
This strategy is for educational and informational purposes. Past performance does not guarantee future results. Always test thoroughly on historical data and paper trading before live implementation. Risk management is crucial - never risk more than you can afford to lose.
Created by jmaxxx - Professional trading strategy developer
For questions, feedback, or customization requests, please leave a comment below.
Indicators and strategies
Investor Tool - Z ScoreThe Investor Tool is intended as a tool for long term investors, indicating periods where prices are likely approaching cyclical tops or bottoms. The tool uses two simple moving averages of price as the basis for under/overvalued conditions: the 2-year MA (green) and a 5x multiple of the 2-year MA (red).
Price trading below the 2-year MA has historically generated outsized returns, and signalled bear cycle lows.
Price trading above the 2-year MA x5 has been historically signalled bull cycle tops and a zone where investors de-risk.
Just like the Glassnode one, but here on TV and with StDev bands
Now with Z-SCORE calculation:
The Z-Score is calculated to be -3 Z at the bottom bands and 3 Z at the top bands
mean = (upper_sma + bottom_sma) / 2
bands_range = upper_sma - bottom_sma
stdDev = bands_range != 0 ? bands_range / 6 : 0
zScore = stdDev != 0 ? (close - mean) / stdDev : 0
Created for TRW
Linear SD BandsThis powerful trend following volatility indicator combines a linear regression with Standard Deviation bands.
It's designed to catch clear trends without having too much false signals along the way
Disclaimer :
This indicator does not constitute financial advice, investing is a risky activity, never invest any money that you cannot afford to lose!
Bitcoin Cycle Master Z-ScoreThe "Bitcoin Cycle Master Z-Score" indicator is designed for in-depth, long-term analysis of Bitcoin's price cycles, using several key metrics to track market behavior and forecast potential price tops and bottoms. The indicator integrates multiple moving averages and on-chain metrics, offering a comprehensive view of Bitcoin’s historical and projected performance. Each of its components plays a crucial role in identifying critical cycle points.
The Z-Score is calculated between the 3 lower bands and the 2 upper bands
top_bands = (DeltaTop() + TerminalPrice())/2
bottom_bands = (BalancedPrice() + CVDD() + RealizedPrice())/3
The Z-Score is calculated to be -3 Z at the bottom bands and 3 Z at the top bands
mean = (top_bands + bottom_bands) / 2
bands_range = top_bands - bottom_bands
stdDev = bands_range != 0 ? bands_range / 6 : 0
zScore = stdDev != 0 ? (close - mean) / stdDev : 0
Created for TRW
Historical Year OverlayThis script allows you to simply source any historical calendar year and overlay it over any other year (usually a historical year overlaying a year in the future). It was made using an LLM for coding help and logic.
It is great for working out potential pivots and it also maps the previous profit/loss from the source year over the plot year so that we can see the connection to price levels throughout the plot year and also with the yearly close (we get a horizontal line for the close).
It uses the year open as a price reference to plot the P&L over the plot year (if use plot year option is selected).
if the year has not started yet you can use the "manual opening price" OR it will auto set to the current price (great for "replay mode", it will catch the actual opening price once it happens).
The settings are self explanatory. Choose a source year and plot year.
Choose a multiplier if you'd like (it simply multiplies the plot year P&L by that number; ie: 1 means the same as it was, 0.5 means half of what is was, 2 means 2x the source P&L)
The resolution is max default 50 line segments but you can simplify if you'd like.
I've released the code open-source so you can see what it is doing.
Please update it with all the enhancements you can think of.
Please let me know if you do this as I will be very interested!
Quantum Range Filter by MRKcoin### Quantum Range Filter by MRKcoin
**Overview**
This indicator is a sophisticated range detection tool designed based on the principles of quantitative multi-factor models. Instead of relying on a single condition, it assesses the market from three different dimensions to provide a more robust and reliable identification of range-bound (sideways) markets.
When the background is highlighted in red, it indicates that the market is likely in a range phase, suggesting that trend-following strategies may be less effective, and mean-reversion (range trading) strategies could be more suitable.
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**Core Logic: A Multi-Factor Approach**
The filter evaluates the market state using the following three independent factors:
1. **Momentum Volatility (RSI Bollinger Bandwidth):**
* **Question:** Is the momentum of the market contracting?
* **Method:** It measures the width of the Bollinger Bands applied to the RSI. A narrow bandwidth suggests that momentum is consolidating, which is a common characteristic of a range market.
2. **Price Volatility (ATR Ratio):**
* **Question:** Is the actual price movement shrinking?
* **Method:** It calculates the Average True Range (ATR) as a percentage of the closing price. A low ratio indicates that the price volatility itself is low, reinforcing the case for a range environment.
3. **Absence of Trend (ADX):**
* **Question:** Is there a lack of a clear directional trend?
* **Method:** It uses the Average Directional Index (ADX), a standard tool for measuring trend strength. A low ADX value provides active confirmation that the market is not in a trending phase.
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**How to Use**
1. **Range Detection:** The primary use is to identify ranging markets. The red highlighted background serves as a visual cue.
2. **Strategy Selection:**
* **Inside the Red Zone:** Consider using range-trading strategies (e.g., buying at support, selling at resistance, using oscillators like RSI or Stochastics for overbought/oversold signals). Avoid using trend-following indicators like moving average crossovers, as they are prone to generating false signals in these conditions.
* **Outside the Red Zone:** The market is likely trending. Trend-following strategies are more appropriate.
3. **Parameter Tuning (In Settings):**
* **This is the key to adapting the filter to any market or timeframe.** Different assets (like BTC vs. ETH) and different timeframes have unique volatility characteristics. Don't hesitate to adjust the parameters to fit the specific chart you are analyzing.
* **Range Detection Score:** This is the most important setting. It determines how many of the three factors must agree to classify the market as a range. The default is `2`, which provides a good balance.
* If the filter seems **too sensitive** (highlighting too often), increase the score to `3`.
* If the filter seems **not sensitive enough** (missing obvious ranges), decrease the score to `1`.
* **Factor Thresholds:** For fine-tuning, adjust the thresholds for each factor.
* **`RSI BB Width Threshold`:** If you want to detect even tighter momentum consolidations, *decrease* this value.
* **`ATR Ratio Threshold`:** If you want to be stricter about price volatility, *decrease* this value.
* **`ADX Threshold`:** To be more lenient on what constitutes a "trendless" market, *increase* this value (e.g., to 30). To be stricter, *decrease* it (e.g., to 20).
* **Pro Tip:** Use the Debug Table (uncomment it in the script's code) to see the live values of each factor. This will give you a clear idea of how to set the thresholds for the specific asset you are trading.
**Disclaimer**
This indicator is a tool to assist in market analysis and should not be used as a standalone signal for making financial decisions. Always use it in conjunction with your own trading strategy, risk management, and analysis. Past performance is not indicative of future results.
**Credits**
* **Concept & Vision:** MRKcoin
FFT Signal AnalyzerFFT Signal Analyzer
The FFT Signal Analyzer uses a simplified Fast Fourier Transform (FFT) approach to extract dominant cyclical components from price data. By detrending and applying adaptive smoothing, the indicator highlights frequency-driven signals that traditional indicators often miss.
This tool is ideal for traders who want to visualize cyclical market behavior, identify turning points, and confirm entries/exits with frequency-based momentum signals.
How it works:
Removes price trend via detrending (moving average subtraction)
Applies a bandpass filter (EMA) to isolate dominant frequency components
Normalizes the signal using a z-score for consistent visibility
Amplifies the signal for easy interpretation
Highlights slope changes with background coloring (green = rising, red = falling)
Use Cases:
Use zero-line crosses to detect cycle shifts or momentum pivots
Combine with trend filters (e.g., GRJMOM) for high-probability setups
Ideal for detecting underlying rhythm in sideways or oscillating markets
Best for:
Swing traders, scalpers, and cycle analysts looking for frequency-aware confirmation signals
Works on all timeframes and asset classes
HHT Signal Analyzer (Refined)HHT Signal Analyzer
The HHT Signal Analyzer provides a real-time, smoothed approximation of the Hilbert-Huang Transform (HHT), designed to reveal adaptive cycles and phase changes in price action. It emulates Intrinsic Mode Functions (IMFs) using a double exponential moving average (EMA) filter to extract short-term oscillatory signals from price.
This indicator is helpful for identifying subtle shifts in market behavior, such as when a trend is transitioning or weakening, and is especially effective when paired with trend-based tools like GRJMOM.
How it works:
Applies a double EMA to the price (EMA of EMA)
Calculates the difference between the fast and slow EMA to emulate IMF behavior
Amplifies the signal for clear visual feedback
Highlights cycle slope changes with background coloring (green = rising, red = falling)
Use Cases:
Use slope direction to detect early phase shifts in the market
Combine with trend indicators to confirm or fade moves
Helps visualize when the market is entering a cycle crest or trough
Best for:
Traders looking to capture short-term reversals, cycle timing, or divergence with smooth and adaptive signals
Can be used on any timeframe
GRJMOM - Risk-Adjusted MomentumGRJMOM – Risk-Adjusted Momentum
GRJMOM stands for Generalized Risk-Adjusted Momentum. This indicator adjusts traditional momentum by dividing it by realized volatility over the same formation period. The result is a cleaner, more risk-sensitive momentum signal designed to avoid momentum crashes and volatility-driven false breakouts.
How it works:
Calculates raw momentum: Close - Close
Computes realized volatility using standard deviation of log returns
Outputs a risk-adjusted momentum score (Momentum / Volatility)
Optional smoothing can be applied to reduce short-term noise
Background coloring highlights bullish (green) and bearish (red) regimes
Use Cases:
GRJMOM > 0 suggests a bullish risk-adjusted trend
GRJMOM < 0 indicates a weakening or bearish trend
Can be used as a trend confirmation filter
Pairs well with cycle indicators like HHT or FFT for timing
Best for:
Swing traders, trend followers, and systematic strategy builders looking for smarter momentum signals with built-in risk awareness
EMA 10/20/50/100/200plot 10, 20, 50,100,200 EMA on the chart. can be used to determine on any timeframe EMA
RSI Cloud Zones (by AButterfly)RSI instruction: Uptrend market only. LONG only. Should use only when SPY and QQQ are above 50 SMA and 200 SMA, and the 50sma is above 200sma, and RSI(14) is above 50 ............... BUY only in the GREEN area. Do NOT buy above GREEN green area. That would be chase (after a train, a ship that left). Take profit in the RED area, preferably on a green candle. This does not encourage SHORT-ing. LONG only. Disclaimer: This is an entertainment. If you lose money, don't blame this indicator or the creator. You have to pay attention to whether the market is on uptrend.
FT-Algos SuperFT-Algos: Unified Alpha Suite
FT-Algos is an all-in-one Pine Script indicator designed to support traders across scalping and swing trading styles with unique multi-strategy logic and clear signals.
Key Features:
Three Trading Modes:
Quick Scalps — Fast momentum-based entries optimized for ultra-short timeframes.
Precision Scalps — Combines MACD flips, Kalman smoothing, Gaussian filters, ZLEMA, and Heikin Ashi SuperTrend to generate high-confidence scalping signals.
Swing Trades — Uses trend stacking with Kalman, ZLEMA, and MACD crossovers confirmed by higher timeframe SuperTrend direction.
Non-Repainting Signals: All entries rely on confirmed candle closes to avoid repainting and false signals.
Visual Entry Markers: Compact BUY and SELL triangle labels placed directly above/below candles for clear signal visualization.
Dynamic Take Profit and Stop Loss Levels: Calculated using Average True Range (ATR) to adjust for current market volatility.
User Configurable Settings: Easily toggle signal visibility, TP/SL display, and short entry signals.
Alert Conditions: Built-in alerts for buy and sell signals enable integration with TradingView’s alert system.
How FT-Algos works:
FT-Algos uniquely blends several filtering methods including Kalman and Gaussian smoothing, momentum evaluation, and multi-timeframe trend validation to minimize noise and improve entry precision. Each mode serves different trading styles—from rapid scalping to higher timeframe swing trading—allowing traders to adapt to their preferred strategy seamlessly.
Disclaimer:
This script is provided as-is for educational and informational purposes only. It does not constitute financial advice. Please test thoroughly and trade responsibly.
FT-Algos CLMDFT‑Algos CLMD — Hybrid Momentum & Money Flow Detector
FT‑Algos CLMD is a precision‑built trading tool that blends advanced momentum tracking with dynamic money flow analysis. It provides traders with a clear, dual‑layered view of market strength and potential turning points.
Key Features
Momentum oscillator with overbought/oversold zone markers.
Integrated money flow overlay, scaled for direct visual comparison.
Optional histogram view of momentum differentials.
Adjustable smoothing and scaling controls for full customization.
Automatic positive/negative zone shading for quick sentiment reading.
How It Works
This tool analyzes both momentum shifts and capital flow pressure to highlight moments of potential market imbalance. When both layers align, the probability of a strong move can increase — making it a powerful addition to any trading system.
Notes
Designed for chart analysis; does not execute trades automatically.
Past performance is not indicative of future results.
Always combine with disciplined risk management and other forms of analysis.
SMA50 Multi-Timeframe Simple🔹 SMA50 Multi-Timeframe Simple – Multi-Timeframe Moving Average Indicator
This indicator displays the 50-period Simple Moving Averages (SMA) calculated across multiple timeframes, providing a clear view of the trend across various market horizons.
✅ Included Timeframes:
5 minutes 🟠
15 minutes 🟡
30 minutes 🔵
1 hour 🟢
4 hours 🔵
1 day 🔴
1 week 🟣
1 month ⚫️
Rsi bar, divergences, tether line, ema 20,50 -Ema 20,50
-Tether Line dominance
-Buy/sell pressure
-Rsi last candle
-byu sell signal
-rsi divergence
-macd divergence
-Coloured candles 25,30 rsi and 70 rsi
Monthly BX Trender- Scale Out Strategy V2This strategy is built around the monthly BXTrender oscillating histogram. It enters a position when the BXTrender shifts from dark red to light red, signaling increasing buying pressure.
From there, it scales out profits by 10% for every 50% gain from the original entry. The position is fully exited when the monthly BXTrender turns red again.
Both the take profit thresholds and scale-out percentages are customizable.
NQ Hourly Probability of PHH/PHL BreakNQ Hourly Probability of PHH/PHL Break
This indicator provides a statistical analysis of the Nasdaq 100 (NQ) on an hourly timeframe. It displays the historical probability of the current hour's candle breaking above the previous hour's high (PHH) or below the previous hour's low (PHL). The probabilities are contextual, changing based on the current hour of the day and the price's position relative to key levels.
It's made for traders who want to incorporate a data-driven approach into their intraday strategy.
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SUMMARY
The core function of this tool is to display a real-time probability table on your chart. This table answers the question: "Based on historical data for this specific time of day and market context, what is the likelihood that price will break out of the previous hour's range?"
The indicator calculates these probabilities based on two key contextual conditions:
1. Is the current price above or below the Midnight Open price?
2. Is the current price above or below the midpoint of the previous hour's range?
By combining these conditions with the current hour, the indicator looks up the relevant historical statistics and presents them clearly.
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FEATURES
• Probability Table: The main feature of the indicator. It displays the probability of breaking the Previous Hour High (PHH), the probability of breaking the Previous Hour Low (PHL), and the probability of the price staying within the range (No Breakout). It also shows the sample size for each statistic.
• Dynamic Color Coding: The table automatically highlights the most probable outcome in green, the second most probable in orange, and the least probable in red, allowing for a quick and easy assessment.
• Previous Hour Levels: Automatically plots the previous hour's high and low at the start of each new hour, providing key intraday levels for reference.
• Customizable Display: You have full control over the appearance, including line colors, styles, widths, and the text size of the probability table.
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HOW TO USE
This indicator is designed for confluence, not as a standalone signal generator. It helps you frame your expectations for the current trading hour.
• Assessing Bias: If the table shows a high probability (e.g., >65%) of a breakout to the upside, you might have more confidence in looking for long opportunities or holding a long position through the PHH.
• Range-Bound Conditions: If the "No Breakout" probability is the highest, it suggests that a ranging or mean-reverting environment is more likely for that hour. You might be more cautious about chasing breakouts and instead look for trades within the previous hour's range.
• Context is Key: Always use this information in conjunction with your own analysis of market structure, order flow, and other factors.
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IMPORTANT NOTES
• Asset Specific: The statistical data within this indicator is specifically calculated for NQ1! (Nasdaq 100 Futures). It will not be accurate for other assets like ES, BTC, or Forex pairs.
• Historical Data: These are historical probabilities and are not a guarantee of future results. Market dynamics can and do change. This tool is for educational and informational purposes to show what has happened in the past under similar conditions.
• Not Financial Advice: This script does not constitute financial advice. All trading decisions are your own responsibility.
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USERINPUT
• Table Text Size: Adjust the size of the text in the probability table (Tiny, Small, Normal, Large).
• Show Midnight & PH Mid Lines: Toggle the visibility of the Midnight Open and Previous Hour Midpoint lines.
• Show Previous Hour High/Low Lines: Toggle the visibility of the PHH and PHL lines.
• Show Line Labels: Toggle the "phh" and "phl" text labels.
• Line Customization: Full control over the color, width, and style (Solid, Dotted, Dashed) for the high and low lines.
Medico Action Zone self adjust TF version 2to create buy sell signal with adjusted EMA and timeframe
TDPO-RSI (Time-Decaying Percentile RSI)TDPO-RSI (Time-Decaying Percentile RSI)
TDPO-RSI is a modern, statistically-enhanced momentum indicator that improves on traditional RSI by using percentile-based analysis with exponential time decay. Instead of averaging gains and losses equally, this indicator ranks them by size and weights recent data more heavily—resulting in a more responsive and noise-resistant signal.
How it works:
Calculates percentile rank of gains and losses over a lookback window
Applies a decay factor (lambda) to give more weight to recent price action
Outputs a percentile-based RSI value between 0 and 100
Optional smoothing via EMA for clearer crossover signals
Key Uses:
Identify overbought/oversold zones (default: 70/30)
Use raw vs. smoothed RSI crossovers for entries
Detect momentum shifts earlier than traditional RSI
Suitable for scalping, trend continuation, and reversal setups
Inputs:
Lookback Length: Number of bars used for percentile calculation
Decay Factor (lambda): How quickly older data fades in influence (0.80–0.99)
Smoothing EMA: Smooths the final output to reduce noise
Tip: Combine with price structure and volume for best results. Higher timeframes can be used for trend context, while lower timeframes help with precise entries.
This tool is ideal for traders who want adaptive momentum analysis rooted in statistical behavior.
CME Price Limit Danger Zone AlertThis indicator will calculate the CME 2% price limits determined by previous day close. It will also provide a visual warning if price has reached the limit.
Moving Average Channel Strategy 1.0 [Point Algo]📊 Moving Average Channel Strategy (v6) – Breakout Logic Simplified
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🚀 Overview
The Moving Average Channel (MAC) Strategy is a breakout-based trading system designed to capture directional moves when price crosses out of a moving average channel. It’s ideal for both Intraday and Positional traders across Futures and Options
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🔧 Core Logic
• Dynamic MA Channel
Forms a breakout zone with two SMA lines:
o 🔵 MA High (upper band from high price)
o 🔴 MA Low (lower band from low price)
• 4 Long Entries
1. Price crosses both lines from below in one candle
2. Closes below MA Low, then breaks above MA High
3. Closes inside the channel, then breaks above MA High
4. Cross-under MA High → re-cross and break above it
• 4 Short Entries
1. Price crosses both lines from above in one candle
2. Closes above MA High, then breaks below MA Low
3. Closes inside the channel, then breaks below MA Low
4. Cross-over MA Low → re-cross and break below it
• Entries are barstate confirmed, ensuring signal stability
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⚙️ Trade Setup Controls
• 🔹 Toggle Intraday or Positional mode
• 🔹 Choose trading window/session time
• 🔹 Filter backtest range by date
• 🔹 Quantity, direction (Long/Short/Both), instrument (Futures/Options), and strike type (ATM/ITM/OTM) configurable
• 🔹 Options to simulate Option Buy or Option Sell
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🎯 Risk Management
• Stoploss, Target, and Trailing SL
o Choose from: %, Pts, or Risk-based (candle low/high)
• Works with:
o 🛑 Stoploss-only setups
o 🎯 Target-only setups
o ⚖️ Combined SL + TGT setups
o 📈 Dynamic Trailing Stoploss logic
• Auto close positions on:
o End of session
o Signal reversal
o SL/Target triggers
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📈 Visual Features
• Diamond markers for Buy (🟢) and Short (🔴) entries
• Dynamic plotting of:
o Entry price
o Stoploss
o Target
o MA Channel boundaries (blue/red)
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👥 Ideal For
• 📍 Intraday and swing traders
• 🧠 Traders who prefer visual breakout confirmation
• 🧪 Strategy testers and coders exploring MA-based breakouts
• 🔁 Automated system users
⚠️ Disclaimer:
This strategy is a tool for technical analysis and educational use only. Past performance or backtest results do not guarantee future results. Market conditions may vary, and users are advised to validate settings and apply proper risk management before using in live environments.
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Happy Trading!
Order Blocks & FVG con Mitigación CRISVASPERIdentifica Bloques de ordenes y FVG, pero muestra el porcentaje de mitigaciones
Price Levels: Prior/current/week/pre-market?after-hour high lowSee prior day levels including all time highs etc at one place. May change indicator settings and colors as you like.
8/30 SMA Pullback + ATR Exits (Crypto)A tryout using LLM to see if it can apply to bots using SMA pullbacks with ATR exits for crypto