Blockcircle MTE V2 - Momentum Trading EngineBLOCKCIRCLE MTE V2 - MOMENTUM TRADING ENGINE is a comprehensive multi-indicator trading strategy designed for cryptocurrency and traditional markets. It combines momentum analysis, trend confirmation, and institutional flow indicators to identify high-probability entry and exit points across any timeframe.
This strategy was developed with input from quantitative traders, financial engineers, and data scientists from Blockcircle. MTE V1 was released in 2023, MTE V2 in 2024, and MTE V3 in 2025. Each version uses different methodologies and modular functions tailored to evolving market conditions.
WHAT MAKES THIS TRADING ENGINE DIFFERENT AND ORIGINAL
While momentum indicators and RSI filters are common concepts, this strategy extends beyond simple signal generation in several ways that justify its protected source status and subscription access.
First, the Momentum Engine applies a proprietary six-layer T3 smoothing algorithm to the Commodity Channel Index. This is not a standard CCI indicator. The smoothing uses Fibonacci-based coefficients (0.618) combined with a configurable T3 period to produce a momentum oscillator with significantly reduced noise while maintaining responsiveness to genuine trend changes. The specific coefficient weighting and smoothing chain represent original development work.
Second, the Multi-Condition Entry Framework allows traders to combine up to seven independent entry conditions across multiple timeframes. Each condition can be enabled or disabled independently, creating a modular system where signals must pass through multiple confirmation layers before triggering. This conditional logic framework, including the specific implementation of timeframe confirmation and bounds checking, is not available in standard indicator combinations.
Third, the Institutional Open Interest Integration pulls aggregated futures positioning data from Binance, BitMEX, and Kraken to filter entries based on institutional activity thresholds. The strategy can require Open Interest to exceed configurable levels before allowing entries, adding a smart money confirmation layer that most retail strategies lack.
Fourth, the Adaptive Exit System offers multiple exit methodologies, including fixed stop loss, percentage-based take profit, trailing stop loss with configurable activation thresholds, higher timeframe invalidation exits, and momentum reversal exits. These can be combined and customized to match different trading styles and market conditions.
Fifth, the Price Level Condition System allows comparison of price against up to three configurable moving averages across any asset and timeframe. This enables cross-asset confirmation, such as requiring SOL to be above its 100 EMA while BTC is above its 21 Weekly EMA before entering trades.
These proprietary elements, particularly the Momentum smoothing algorithm, the multi-condition framework, and the institutional OI integration, represent original development work that provides genuine trading utility beyond what free alternatives offer.
ENTRY CONDITIONS
Momentum Indicator: Smoothed CCI using stacked T3 moving averages for noise-reduced momentum signals with configurable thresholds and multi-timeframe confirmation
RSI Boundary Conditions: Dual RSI filters with customizable timeframes, periods, and operators to confirm overbought or oversold zones
Heikin-Ashi Analysis: Optional Heikin-Ashi candle patterns, including Higher Highs and Lower Lows detection for early trend shift identification
Slow Stochastic Filter: K and D crossover confirmation with customizable smoothing to validate momentum direction Open Interest Integration: Monitor institutional positioning via aggregated OI data from Binance, BitMEX, and Kraken
Price Level Conditions: Up to three configurable price levels using EMA, SMA, HMA, or raw price across any asset and timeframe
Multi-Timeframe Confirmation: Validate signals against higher timeframes to filter noise and align with larger trends
There are hundreds of configurable options that allow you to fine-tune your trading strategy to what you want to simulate and execute
EXIT CONDITIONS
Fixed Stop Loss and Take Profit: Percentage-based SL and TP with automatic position management
Trailing Stop Loss: Dynamic trailing stop that activates after reaching profit threshold with configurable trail distance
Exit on Opposite Signal: Option to close positions when contrary signals appear, which disables take profit when enabled
Higher Timeframe Exit Triggers: Exit positions based on percentage changes on higher timeframes
Momentum Invalidation: Close trades when momentum invalidates beyond specified thresholds
Open Interest Exit: Exit based on institutional OI threshold breaches
HOW TO USE
Step 1: Define your backtest period using the Start Date and End Date inputs to test the strategy on your preferred historical range.
Step 2: Configure your entry conditions by enabling the indicators you want to use. Start with one or two conditions and add more as you understand how they interact. The Momentum condition is enabled by default and works well as a primary entry filter.
Step 3: Set your exit rules based on your risk tolerance. The default 7% stop loss is suitable for cryptocurrency volatility. Adjust the take profit based on your average winning trade expectations. Enable trailing stop losses for trend-following approaches that let winners run.
Step 4: Configure alerts for automated trading. The strategy sends standardized messages compatible with most trading bots. Default messages are LONG_OPEN, LONG_CLOSE, SHORT_OPEN, and SHORT_CLOSE.
BOT INTEGRATION
MTE V2 sends clean, standardized alert signals compatible with automated trading platforms.
Open Long: LONG_OPEN
Close Long: LONG_CLOSE
Open Short: SHORT_OPEN
Close Short: SHORT_CLOSE
Compatible platforms include 3Commas, Cornix Bot, WunderTrading, Binance Signal Bot, ByBit Signal Bot, Alertatron, and any JSON webhook service.
LIMITATIONS AND HONEST ASSESSMENT
This strategy performs best in trending market conditions. During extended consolidation or ranging periods, the win rate may decrease, and drawdowns may increase. The backtest results shown are specific to SOLUSDT on the 1-hour timeframe and may differ on other assets or timeframes.
Past performance does not guarantee future results. The backtest assumes perfect execution at the specified commission and slippage settings. Real-world trading may experience varying fill rates, especially during high-volatility periods.
The strategy uses standard candlestick data for backtesting. Results may differ if applied to Heikin-Ashi or other non-standard chart types.
A 10% position size per trade is the maximum recommended by TradingView guidelines. More conservative traders may prefer 5% or lower position sizing to reduce drawdown risk.
This strategy should be used as part of a comprehensive trading approach that includes proper risk management, appropriate position sizing for your account, and awareness of broader market conditions. It is not intended as a standalone system that guarantees profits.
RECOMMENDED SETTINGS BY TRADING STYLE
For swing trading on 4-hour to daily timeframes, use the default Momentum settings with RSI boundary confirmation. Enable trailing stop loss to capture extended moves.
For scalping on 15-minute to 1-hour timeframes, increase signal sensitivity by lowering the Momentum threshold and consider enabling Heikin-Ashi confirmation for smoother signals.
For position trading on daily to weekly timeframes, enable higher timeframe confirmation and consider adding Price Level conditions to ensure alignment with major moving averages.
Oscillators
Overshoot Stop Detector (EMA20 + ATR)How to read the signals (to match what you're doing):
An "OS" (Offside) above the previous bar indicates an overshoot.
A "STOP" (Stop) below the current bar indicates a potential "stop-loss" after an overshoot.
Then you can set a Beer-style trigger, for example:
Enter when the price breaks through the high of the STOP bar.
Or enter when the price closes green above the high of the STOP bar.
Then set your TP (Take Profit) at 10 to 15% as you've hypothesized.
Pro Cumulative Volume RSI# Pro Cumulative Volume RSI - Professional Trading Indicator
## 📊 What is it?
The **Pro Cumulative Volume RSI** is an advanced momentum oscillator that analyzes buying and selling pressure through volume distribution. Unlike traditional RSI that only tracks price movements, this indicator separates volume into buying and selling components, providing two distinct RSI calculations that reveal market dynamics from both perspectives.
## 🔍 How Does It Work?
### Volume Distribution Algorithm
The indicator uses a sophisticated volume distribution method:
**Buying Volume (BV)** = Volume × (Close - Low) / (High - Low)
**Selling Volume (SV)** = Volume × (High - Close) / (High - Low)
This formula proportionally allocates volume based on where the candle closes within its range:
- If close is near the high → More buying volume
- If close is near the low → More selling volume
### Dual RSI Calculation
The indicator then calculates **two separate RSI values**:
1. **Green Line (Buying Volume RSI)**: Measures the dominance of buying pressure
2. **Red Line (Selling Volume RSI)**: Measures the dominance of selling pressure
Each RSI follows the traditional 14-period calculation but applies it to the volume pressure differences rather than price changes.
## 🎯 How to Use It
### Signal Interpretation
| Scenario | Meaning | Action |
|----------|---------|--------|
| Green > 70, Red < 30 | Strong buying dominance | Consider buying / Hold long |
| Red > 70, Green < 30 | Strong selling dominance | Consider selling / Avoid longs |
| Green crosses above Red | Momentum shift to buyers | Potential buy signal |
| Red crosses above Green | Momentum shift to sellers | Potential sell signal |
| Both near 50 | Balanced market | Wait for confirmation |
### Key Features
**1. Crossover Signals**
- **BUY signal**: When green line crosses above red line with sufficient momentum
- **SELL signal**: When red line crosses above green line with sufficient momentum
- Triangle markers appear automatically on the chart
**2. Divergence Detection**
- **Bullish Divergence (DIV+)**: Price makes lower lows but indicator makes higher lows → Potential reversal up
- **Bearish Divergence (DIV-)**: Price makes higher highs but indicator makes lower highs → Potential reversal down
- Yellow/orange circles mark divergences automatically
**3. Background Coloring**
- **Green background**: Buying pressure dominates
- **Red background**: Selling pressure dominates
- Intensity shows strength of pressure
**4. Live Status Table**
- Real-time RSI values for both buying and selling
- Current momentum status
- Market pressure assessment
- Last detected signal
### Settings Customization
**Basic Settings:**
- **RSI Period**: Default 14, adjust based on your trading timeframe (shorter = more sensitive)
**Visual Settings:**
- **Histogram Mode**: Toggle between line and histogram display
- **Background Coloring**: Enable/disable pressure-based background
- **Transparency**: Adjust background opacity
**Signal Settings:**
- **Crossover Signals**: Show/hide BUY/SELL markers
- **Divergence Detection**: Enable automatic divergence spotting
- **Sensitivity**: Low/Medium/High - controls how strong momentum must be for signals
**Level Lines:**
- **Overbought/Oversold**: Adjust threshold levels (default 70/30)
## ⚠️ IMPORTANT DISCLAIMER
### This Indicator Should NOT Be Used Alone
**ALWAYS combine this indicator with other forms of analysis:**
✅ **Price Action Analysis**
- Support and resistance levels
- Trend lines and chart patterns
- Candlestick formations
✅ **Other Technical Indicators**
- Moving Averages (trend confirmation)
- MACD (momentum confirmation)
- Volume Profile (context)
- ATR (volatility assessment)
- Bollinger Bands (volatility and extremes)
✅ **Multiple Timeframe Analysis**
- Check higher timeframes for overall trend
- Use lower timeframes for precise entries
- Ensure signals align across timeframes
✅ **Fundamental Analysis**
- News and economic events
- Earnings reports (for stocks)
- Market sentiment
- Macro conditions
✅ **Risk Management**
- **NEVER** risk more than 1-2% per trade
- Always use stop losses
- Calculate position size before entering
- Have a clear exit strategy
### Common Pitfalls to Avoid
❌ **Don't** take every signal blindly
❌ **Don't** ignore the overall market trend
❌ **Don't** trade against strong momentum without confirmation
❌ **Don't** forget about major support/resistance levels
❌ **Don't** over-leverage based on indicator signals
❌ **Don't** ignore fundamental catalysts
### Best Practices
✅ **Wait for confluence**: Multiple indicators agreeing
✅ **Consider market context**: Bull/bear market conditions
✅ **Use appropriate timeframes**: Match your trading style
✅ **Backtest first**: Test on historical data before live trading
✅ **Keep a trading journal**: Track what works and what doesn't
✅ **Respect your risk management rules**: Always
## 📈 Example Trading Scenarios
### Scenario 1: Strong Trend Following
- **Setup**: Green RSI consistently above 50, price in uptrend
- **Confirmation**: Higher timeframe trend is up, price above major MA
- **Entry**: BUY signal on pullback when green crosses red
- **Stop Loss**: Below recent swing low
- **Exit**: When red RSI crosses above green or divergence appears
### Scenario 2: Reversal Trading
- **Setup**: Bullish divergence (DIV+) appears at support level
- **Confirmation**: Price shows bullish candlestick pattern, other oscillators oversold
- **Entry**: After confirmation candle closes
- **Stop Loss**: Below divergence low
- **Exit**: At resistance or when momentum weakens
### Scenario 3: Avoiding False Signals
- **Signal**: BUY signal appears
- **Check**: Price is at strong resistance, higher timeframe shows downtrend
- **Action**: **SKIP the trade** - context overrides signal
- **Result**: Protected capital by avoiding low-probability setup
## 🎓 Educational Use
This indicator is designed to help traders:
- Understand volume-based momentum
- Identify shifts in market pressure
- Learn about divergence patterns
- Practice multi-indicator analysis
**Remember**: No indicator is perfect. Markets are complex and influenced by countless factors. Use this tool as one piece of your trading puzzle, not as a standalone solution.
## 📞 Support & Updates
- Report bugs or suggest features via comments
- Check back for updates and improvements
- Share your successful setups to help the community learn
## ⚖️ Legal Disclaimer
**This indicator is for educational and informational purposes only.**
- Not financial advice
- Past performance does not guarantee future results
- Trading involves substantial risk of loss
- Only trade with money you can afford to lose
- Consult with a licensed financial advisor before making investment decisions
**The creator of this indicator assumes no responsibility for trading losses incurred through its use.**
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## 🚀 Happy Trading!
Remember: **Patience, discipline, and proper risk management** are more important than any indicator. Trade smart, trade safe!
*If you find this indicator helpful, please leave a comment and share your experience!*
Multi-Symbol RSI Portfolio Simulator [Honestcowboy]The Multi-Symbol RSI Portfolio Simulator was build to test a theory, does the RSI indicator work in FOREX assets. Does it have predictive power. In this example the security function is used to fetch data for 40 different Forex pairs and it executes a very simple trading strategy. Sell when RSI hits 80, flatten if back below. Buy when RSI hits 20, flatten if back above. All executed on bar closes so no intra bar stuff.
🟦 🟦 🟦 Very Important Disclaimer
This is a very crude indicator which does not calculate trading costs and assumes perfect execution of trades with zero slippage. Forex markets carry high risk and most CFD brokers ask high spreads and trading costs so this approach will most likely only work on the H4 or above Daily charts. We are observing market behaviour here, it's a study of price action not an executable ready strategy. Do your own cost analysis, simulation if you want to take this idea further.
🟦 What is the point?
I build this indicator to prove that RSI indeed causes price action reactions especially on the intraday level in forex. Just like any study or paper not accounting for trading costs, this is just hypothetical and a starting point.
🟦 CALCULATION
On each bar close it will check RSI value for each pair in the list. If one of the pairs meets the condition for a long or short it will open that trade on next bar open and hold it till close. Add the profits/losses to the equity line. And if condition still true on next bar do it again, this is a very crude simple form of testing. Tradingview strategy tester is superior but does not allow for multi-pair trading.
Short Condition: RSI above 80
Short Exit: RSI below 70
Long Condition: RSI below 20
Long Exit: RSI above 30
The indicator also has 2 modes: Mean reversion and Trend mode. On default it uses Mean Reversion which is explained above. Trend mode does the exact opposite, so long above 80 short below 20.
I've also included a table with a heatmap showing all the trading pairs the indicator uses, it's current RSI value and color based on how close indicator is to shorting or longing it from green to red with gray being middle so no direction.
🟦 USE CASES
You can tweak the setting for different RSI values. Different RSI lengths and also freely change any trading pair inside the list to make your own test. I'm including some screenshots of tests here below:
Sri- momentum Plus with Adjustable Hiline & Position Shift📈 Sri – Momentum Plus
Normalized Momentum with Adjustable Hilines & Position Shift
Sri – Momentum Plus is a custom, normalized momentum oscillator designed to provide clear, scalable momentum insight across any timeframe, with a strong focus on readability, adaptability, and multi-indicator compatibility.
The indicator combines normalized momentum, adaptive hilines, and vertical position control into a single coherent framework, making it suitable for both discretionary and systematic traders.
🔹 Core Concepts & Originality
1️⃣ Normalized Momentum Calculation
Momentum is derived from the difference between fast and slow averages of median price.
The raw momentum is normalized using either:
Volatility-based normalization (True Range smoothing), or
Price-average normalization
This keeps momentum behavior consistent across instruments and timeframes, avoiding distortion caused by volatility differences.
2️⃣ Sensitivity-Driven Adaptive Scaling
A single Sensitivity parameter controls:
Momentum amplitude
Histogram height
Upper and lower hiline distance
Hilines scale proportionally with sensitivity, rather than remaining fixed.
This preserves the internal structure of momentum across different trading styles and time horizons.
3️⃣ Adjustable Hilines & Vertical Position Shift
A unified offset control allows the entire indicator to be shifted up or down within the pane.
The following elements move together:
Normalized momentum line
Signal line
Histogram
Upper / lower hilines
This enables clean stacking of multiple oscillators without overlap.
4️⃣ Multi-Timeframe Momentum Support
Momentum can be calculated using:
Chart timeframe, or
Any selected intraday or higher timeframe (1 → Monthly)
Enables higher-timeframe momentum context while operating on lower-timeframe charts.
Calculations are performed with non-repainting logic (lookahead disabled).
5️⃣ Trend-Aware Histogram Visualization
Histogram coloring reflects:
Momentum relative to its signal line
Positive vs negative momentum zones
This provides intuitive visual feedback on:
Momentum expansion
Weakening phases
Transitional states
🔹 How to use this indicator
Common use cases:
Momentum confirmation for trend continuation
Assessing strength vs weakness within price swings
Comparing momentum behavior across instruments
Maintaining clarity in multi-indicator layouts
Suggested approach:
Use higher-timeframe momentum for directional bias
Combine with price action, structure, or volume for execution
Adjust sensitivity and offset to fit your chart layout
⚠️ Important Notes
This is a momentum analysis and confirmation tool, not a buy/sell signal generator
Best used as part of a broader trading framework
Normalization improves comparability, not prediction accuracy
🔒 Why the source is protected
This script incorporates:
Custom momentum normalization logic
Sensitivity-adaptive hiline architecture
Unified vertical shifting of all components
Multi-timeframe execution without repainting
While the methodology and usage are fully explained, the implementation details are protected to preserve originality.
✅ Summary
Sri – Momentum Plus delivers a flexible, normalized, and position-adjustable momentum framework, built for traders who require clarity, consistency, and multi-timeframe awareness in complex chart environments.
Liquidity TrailsLiquidity Trails
A Volatility-Anchored Market Expectation & Risk Mapping Tool
Have you ever been stopped out by normal market noise?
Have you noticed price reacting around “invisible boundaries” that aren’t obvious on a naked chart?
Liquidity Trails was designed to address exactly that problem — by mapping statistical daily price expectations using fixed higher-timeframe volatility data.
This indicator does not predict direction.
Instead, it helps traders understand where price is statistically expected to travel within a given session or period, allowing for more informed risk placement and expectation management.
📌 Core Features
1️⃣ Fixed Timeframe Volatility Anchoring
All calculations are derived from a user-selected anchor timeframe (Daily, Weekly, Monthly, or custom), ensuring that levels remain stable and unchanged when switching chart timeframes.
This prevents intraday recalculation noise and keeps reference levels consistent throughout the anchor period.
2️⃣ Average Daily Range (ADR) Projection
The indicator calculates ADR based on historical price ranges and projects:
Estimated upper expansion level
Estimated lower expansion level
These levels represent statistical price boundaries, not support or resistance claims.
3️⃣ ATR Context Levels
Average True Range (ATR) bands are plotted from the same anchor timeframe to provide context for volatility expansion vs contraction.
This allows traders to visually assess whether price is operating within, near, or beyond typical volatility conditions.
4️⃣ Volatility-Adjusted Stop Reference Levels
Optional stop reference levels are plotted at a configurable percentage of ADR (default: 60%), helping traders evaluate whether their risk placement is:
Too tight (high noise exposure)
Too wide (reduced reward efficiency)
Statistically aligned with market behavior
5️⃣ Timeframe-Independent Visualization
Levels are drawn using step-style plots, ensuring they:
Remain flat for the entire anchor period
Update only when a new anchor candle begins
Do not repaint intraday
🧠 How This Indicator Is Best Used
Liquidity Trails is intended as a context and risk framework, not an entry signal.
It complements:
Structure-based trading
Liquidity sweep models
Mean-reversion or expansion strategies
Discretionary and systematic approaches
Use price action, structure, or your existing strategy for entries — use this tool to define expectations and manage risk.
💡 Suitable For
Intraday traders seeking stable daily reference levels
Swing traders anchoring weekly or monthly volatility
Traders who want objective volatility context without clutter
🔔 Disclaimer
This indicator is a visual analytical tool only.
It does not provide trade signals or financial advice.
All trading decisions and risk management remain the responsibility of the user.
SuperTrend Strategy V4 [Filtered & Directional]
Strategy Type: Trend-Following / Breakout
Core Indicator: SuperTrend (ATR-based trailing stop)
Risk Profile: Variable (User-defined Risk per Trade)
Filtering: ADX, CHOP
1. Executive Summary
This strategy is an advanced trend-following system designed to capture significant market moves while rigorously filtering out "noise" and consolidation phases. Built on the classic SuperTrend indicator, V4 introduces a modular "Regime Filter" suite (ADX, Choppiness Index) to solve the common problem of "whipsaw" losses during sideways markets. It features dynamic position sizing based on account risk and allows for full directional control (Long-only, Short-only, or Bi-directional).
2. Core Logic (The Engine)
The primary signal generation relies on the SuperTrend indicator, which serves two purposes:
- Trend Definition: Determining the market direction (Bullish/Bearish).
- Trailing Stop Loss: Providing a dynamic exit point that moves with the price.
- Entry Signal: A trade is triggered when the price closes on the opposite side of the SuperTrend line (flipping the trend direction), provided that all enabled filters give permission.
Important Note: ATR Length and Factor are key parameters of the strategy; to get positive backtesting results, those should be aligned individually for each specific asset and timeframe.
3. The "Anti-Whipsaw" Filter Suite
To prevent overtrading in ranging markets, the strategy employs three selectable filters. These act as "logic gates" if any enabled filter says "No," the trade is skipped.
A. Choppiness Index (The Noise Filter):
- Purpose: Detects lack of trend.
- Logic: If the "Chop" value exceeds the threshold, the market is considered too chaotic. The strategy waits for the index to drop, indicating a return to directional movement.
- Default settings (recommended):
- Chop Length: 14
- Max Chop Threshold: 55
B. ADX (The Strength Filter):
- Purpose: Measures the strength of the current trend.
- Logic: Only permits entry if the Average Directional Index (ADX) is above a set threshold, ensuring momentum is present.
- Default settings (recommended):
- DI Length: 14
- ADX Smoothing Length: 5
- Min ADX Threshold: 15
4. Risk Management & Position Sizing*
Instead of fixed lot sizes, this strategy uses Volatility-Adjusted Sizing:
- Risk Per Trade: The user defines a fixed dollar amount to risk according to initial capital.
- Calculation: The script calculates the distance between the Entry Price and the SuperTrend (Stop Loss). It then mathematically determines the exact position size so that if the Stop Loss is hit, the loss equals the defined risk amount.
- Safety: Includes a failsafe for zero-division errors during extreme volatility (e.g., crypto flash crashes).
5. Directional Bias Control
Recognizing that different assets have different biases (e.g., Crypto is often long-biased; Forex pairs can be mean-reverting), V4 allows the user to toggle:
- Enable Longs: Toggle ON/OFF.
- Enable Shorts: Toggle ON/OFF.
Note: Disabling a direction prevents new entries but allows existing positions to close naturally to preserve capital.
6. Visual Aids
- Trend Lines: Green/Red SuperTrend line indicates active trailing stop.
- Regime Highlighting: The chart background turns Gray when the market is in a "No Trade Zone" (failed filter checks), allowing for instant visual backtesting of the filters' effectiveness.
UCY-DorukBot2 LiveTitle:
DorukBot2 aka Doruk DENİZ
Short Title:
DorukBot2
Author:
Uğur Çağrı YILMAZ
x.com
Co-Authors:
Murat DENİZ
Mehmet Sıddık TEMEL
Osman ÖZEN
Salih ÜNSAL
Serkan BODUR
Backtest parameters:
Backtested with default parameter of DorukBot2 XU030D1! 5 min BIST chart (with all available price data)
Backtested initial capital 100.000 TRY
Order size set as 100% of equity
Commission is set to 0.1% same as this is a brokerage default in Turkey.
DorukBot is a hit and run indicator so it's main purpose is to enter positions in intra-day movements at price action levels.
M1 RSIRSI (Relative Strength Index)
Measures price momentum to identify overbought and oversold conditions.
Volume
Shows trading activity strength; higher volume confirms strong moves.
MACD (Moving Average Convergence Divergence)
Tracks trend direction and momentum using moving average crossovers.
Stochastic Oscillator
Compares closing price to price range to spot reversals.
HoneG_CCIv18HoneG_CCIv18
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。１分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
Stochastic Long on 25 Crossover Strategy + ATR Filter 5 minThis Pine Script strategy is a momentum-based long-only system designed for 5-minute charts. It combines the Stochastic Oscillator for entry timing with an Average True Range (ATR) filter to ensure the market has sufficient volatility before entering a trade.
## Strategy Overview
The strategy focuses on catching "oversold" bounces while filtering out "choppy" or low-volatility periods that often lead to false signals. It is built for intraday traders who want disciplined session management and a visual dashboard for tracking performance.
HTB Reversal Pattern - RSI DivergenceHow this Script Works
Pivot Points: The script looks for "peaks" and "valleys" in the RSI indicator.
Divergence Logic: * Bullish: If the current price low is lower than the previous low, but the RSI low is higher than the previous RSI low, it indicates the selling pressure is fading despite the price drop.
Bearish: If the current price high is higher than the previous high, but the RSI high is lower than the previous RSI high, it suggests buying momentum is weakening.
The "Lookback" Offset: Because pivot points require a few bars to the right to be confirmed (defined by lbR), the labels will appear on the chart with a small delay (default is 5 bars). This is necessary to prevent "repainting" (signals that disappear after they appear).
DayTradeMind Combined High Win Rate IndicatorThis is a combined confirmation indicator that generates buy/sell signals only when multiple technical indicators align. It's designed to improve win rates by requiring confluence before triggering trades.
Core Components
1. MACD (Moving Average Convergence Divergence)
Detects momentum shifts through line crossovers
Acts as both a confirmation tool and a trigger mechanism
2. Donchian Channels
Tracks 20-period price range
Uses middle line to determine trend (price above = bullish, below = bearish)
3. SuperTrend
ATR-based trend following indicator
Provides clear bullish/bearish trend direction
4. %B Bollinger Bands
Measures price position within Bollinger Bands
Identifies oversold (buying opportunity) and overbought (selling opportunity) conditions
Signal Logic
The indicator uses a confirmation counting system:
Minimum Confirmations: Default requires 2 out of 4 indicators to agree
Buy Signal: Requires minimum bullish confirmations + a fresh trigger (MACD crossover or price crossing above Donchian middle)
Sell Signal: Requires minimum bearish confirmations + a fresh trigger (MACD crossunder or price crossing below Donchian middle)
This dual-requirement (confirmations + trigger) helps avoid late entries by ensuring fresh momentum.
Key Features
Adjustable sensitivity: Change minimum confirmations (1-4) to balance signal frequency vs. quality
Visual dashboard: Optional stats panel showing current market conditions
Built-in alerts: Automated notifications for trade setups
Clean visualization: BUY/SELL labels directly on the chart
Market Stress IndicatorMeasures Market Stress
Extreme high or low reading might signal a reversal or breakout - sometimes more time is needed and look divergences.
Feedback is welcome
TL Control PanelThe TL Control Panel is a comprehensive multi-timeframe dashboard that displays TrapLight signals across 8 different timeframes simultaneously (1m, 5m, 10m, 15m, 30m, 1h, 4h, Daily).
FEATURES:
• TL Column: Shows the Stochastic RSI K value with intelligent color coding:
- Bright Red (99.5-100): Max Sell zone
- Dim Red (95-99.5): Sell zone
- Yellow (5-95): Not Ready zone
- Dim Green (0.5-5): Buy zone
- Bright Green (0-0.5): Max Buy zone
• K/K Column: Displays Kriss/Kross signals when the 10 EMA crosses the 50 EMA
- Blue box = Kriss (10 crossed above 50 - Buy)
- Yellow box = Kross (10 crossed below 50 - Sell)
• GK Column: Shows Golden Kross signals (50 EMA crosses above 200 EMA - Buy)
• DK Column: Shows Death Kross signals (50 EMA crosses below 200 EMA - Sell)
All timeframes are fully customizable, allowing traders to enable/disable specific intervals. The dashboard provides instant visual confirmation of trend alignment across multiple timeframes, helping traders identify high-probability entry and exit points at a glance.
Elite Risk-On/Risk-Off Oscillator (6 pairs) The Elite Risk-On / Risk-Off Oscillator is a market-regime indicator designed to determine whether conditions favor aggressive risk-taking or defensive capital preservation rather than to predict price direction.
It combines six carefully selected relative-strength pairs that measure risk appetite across the most important parts of the market:
IEI/HYG (credit stress, weighted most heavily because credit often leads equities)
SPHB/SPLV (equity risk appetite via high-beta versus low-volatility stocks)
IWM/SPY (liquidity and growth sensitivity through small-caps versus large-caps)
MTUM/QUAL (trend durability versus balance-sheet quality)
XLY/XLP (consumer cyclicality, wants versus needs)
EEM/SPY (global risk and dollar-sensitive capital flows)
Each pair is evaluated using relative performance against a moving-average and slope filter to classify it as risk-on (+1), neutral (0), or risk-off (-1), with defensive ratios inverted so that positive readings always indicate risk-on conditions; the weighted signals are then aggregated, normalized to a -100 to +100 scale, and smoothed into a single oscillator. Readings above approximately +40 indicate a supportive risk-on environment where trends are more likely to persist, readings between -40 and +40 reflect transitional or choppy conditions with lower conviction, and readings below -40 signal a risk-off regime where capital preservation and defense should be prioritized.
The indicator is intended as a context and position-sizing tool, helping traders align strategy aggressiveness with underlying market conditions rather than relying on forecasts or narratives.
HoneG_CCIv17HoneG_CCIv17
This is a signal tool capable of both counter-trend and trend-following trading. Apply it to 1-minute charts.
For trend-following, it features a rapid-fire mode. When conditions align, rapid-fire mode activates, and two indicators signaling the rapid-fire timing will turn ON/OFF in sync with price extension moments.
逆張りも順張りも出来るサインツールです。１分足チャートに適用してください。
順張りには連打モードがあり、条件が揃うと連打モードが発動し、連打タイミングを知らせる二か所の表示が、価格が伸びるタイミングに合わせてON/OFFします。
CRR Trend Conformator v1.2CRR Trend Conformator v1.1 (Invite-Only)
CRR Trend Conformator v1.1 is an analysis-only momentum and trend alignment tool designed to help traders visually assess whether market conditions are conforming or diverging across multiple internal oscillators.
This indicator combines:
A higher-cycle stochastic structure to observe broader momentum positioning
A lower-cycle stochastic comparison to reflect short-term directional pressure
A custom RSI-based banker momentum module to highlight internal strength and stability
All parameters are pre-configured and locked to preserve consistency, reduce curve-fitting, and maintain a standardized analytical framework across markets and timeframes.
How it is intended to be used
To observe trend harmony between momentum layers
To assist in identifying momentum expansion, compression, or imbalance
To support contextual market analysis, not standalone decision-making
Important Notes
This is an invite-only, proprietary analytical tool
It is not a trading strategy and does not generate buy or sell signals
Intended strictly for educational and analytical purposes
Users should always apply independent judgment and risk managemen
Forecast OscillatorGeneral Overview
The Forecast Oscillator Plus (FOSC+) is not just another oscillator. It is an advanced quantitative analysis tool developed to bridge the gap left by traditional momentum indicators (like RSI or Stochastic) which often suffer from "lag" or remain pinned in extreme zones during strong trends.
This "Plus" version has been specifically engineered and optimized for high-velocity scalping and day-trading on assets like NAS100 (Nasdaq) and XAUUSD (Gold) using ultra-short timeframes (1-min, 5-min).
🛡️ Why is FOSC+ Different?
1. Linear Regression Intelligence
At the heart of this script is a powerful Linear Regression (LinReg) engine. Instead of comparing price to a simple average, FOSC+ calculates the percentage deviation between the current price and its predicted theoretical trajectory. This allows the indicator to identify not just if the price is "high" or "low," but if it is abnormally distanced from its current trend, signaling an imminent Mean Reversion.
2. Adaptive Dynamic Bands (Volatility-Adjusted)
A major weakness of classic oscillators is the use of fixed levels (e.g., 80/20). FOSC+ utilizes Standard Deviation to generate overbought and oversold zones that "breathe" with the market.
During high volatility, the bands expand to filter out noise and premature entries.
During low volatility, they tighten to capture precise turning points.
3. Institutional Volume Filter (Anti-Fakeout)
To succeed in the Nasdaq market, you must follow the "Smart Money." This script integrates a Volume Spike Filter. A signal (Buy/Sell) is only triggered if the current candle's volume is significantly higher than its moving average (adjustable multiplier). This ensures you only enter trades backed by real institutional strength.
4. Algo-Ready for PineConnector
The code has been structured for seamless automation. With built-in EMA smoothing to reduce 1-minute "market chatter," the signals are clean and sharp, minimizing execution errors when sending orders to MetaTrader 5 via PineConnector.
📈 Technical Trading Guide
Buy Signals (Green Triangle): Occur when the oscillator crosses above the dynamic oversold band OR crosses back above the zero line, provided that volume confirms the impulse.
Sell Signals (Red Triangle): Occur when the oscillator crosses below the dynamic overbought band OR breaks below the zero line from above, with volume confirmation.
Momentum Histogram: The colored columns indicate acceleration strength. Excellent for Trailing Stops: as long as the histogram is growing, the momentum is in your favor!.
⚙️ Recommended Parameters
Length (14): The "Sweet Spot" for balancing reactivity and reliability.
Smooth Len (4): Essential for 1-min charts to eliminate micro-fluctuations without adding lag.
Volume Mult (1.15): Filters out the bottom 15% of volume to keep only significant candles.
⚠️ Stress-Tested for Real Conditions
This script has been rigorously backtested with Slippage settings ranging from 10 to 25 points. Even under difficult market conditions with high spreads, the indicator maintains a positive expectancy, making it a premier tool for traders using Standard or Raw accounts.
TQQQ Framework v6This script is a simple trend‑following framework for trading TQQQ that combines long‑term bias, short‑term momentum, and mean reversion into one visual tool. It plots three moving averages (250‑SMA, 50‑SMA, 21‑EMA), colors the background by trend regime, and prints buy markers when price regains momentum in a bullish environment.
What it does
Uses a 250‑period SMA as the structural “bull/bear regime” filter, only looking for longs when price is above this line.
Uses a 21‑period EMA as the short‑term momentum line, turning green when price is above it and red when price is below it.
Uses a 50‑period SMA as a mean‑reversion reference level, plotted as a softer blue band for pullback zones.
Visual cues
Background turns green when price is above the 250‑SMA (TQQQ bullish focus) and red when below it (implying SQQQ or defensive stance).
The 21‑EMA color shifts dynamically (green/red), giving an immediate read on short‑term momentum without extra indicators.
Signal logic
Generates a buy signal only when:
The market is in a bullish regime (close > 250‑SMA), and
Price crosses back above the 21‑EMA, indicating momentum has resumed after weakness.
Marks this event with a triangle below the bar and exposes an alert condition so it can trigger TQQQ buy alerts automatically.
Related
Summarize main strategy rules in the script
List all user-configurable inputs and defaults
Explain allocation and position sizing logic used
Describe the risk management and stop rules
Identify indicators and formulas implemented in code
BE-QuantFlow: Adaptive Momentum Scalper█ Overview: QuantFlow: Adaptive Momentum Scalper
QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. it is an automated trade manager for indices. BE-QuantFlow acts as a Co-Pilot, analyzing how fast you are driving (Momentum) and how bumpy the road is (Volatility) to decide not just when to enter, but how to manage the gear shifts (hedging) safely.
🧠 How It Calculates
Momentum (The Speed) : Standard indicators (like RSI) treat every price candle equally. BE-QuantFlow uses a "Weighted Memory." It gives far more importance to what happened just now compared to 10 minutes ago. It checks the "Sustainance"—is the price closing near its high (strong buyers) or leaving long wicks (weak buyers)? This creates a "Weighted Score" that reacts instantly to fresh power.
Volatility (The Road Condition) : The script measures the movement of the current candle and sorts every single bar into three buckets: Small (Quiet), Mid (Normal), or Tall (Dangerous). in proportion to eating up the move done in the recent past.
🎯 When does an Entry Become "Valid"?
Conceptually, the script looks for a specific market state before taking a trade:
The "Wake Up" Phase: The market must transition from a "Sleep" state (low volatility, sideways movement) to an "Awake" state.
Unidirectional Energy: script don't just look for price going up / down. It looks for Agreement. This happens when the Volatility (expansion of range) aligns perfectly with Momentum (speed of buying/selling).
The View: A entry is valid when the market stops "chopping" up and down and starts "stretching" in one direction. The script waits for that precise moment where the "rubber band" stretches enough to confirm a move, but not so much that it's about to snap back.
█ The Scalping Engine: Hedging Made Simple
For a trader new to options, your biggest enemy is Time Decay (Theta). This script fights Time Decay using two specific "Defense Modes."
A. The "Flip" (The Shield)
When it happens: You are in a trade (e.g., Bought a Call), and the price starts moving slightly against you. It hasn't hit your Stop Loss, but the move is struggling (The Pull Back).
The View: "The trend is taking a break or pulling back."
The Action: The script automatically Hedges brought Option to yeild you a little while protecting further loss. It just turns a "waiting period" / "neutral period."
B. The "Spread" (The Anchor)
When it happens: The trade is going your way, but very slowly. Momentum is dropping.
The View: "We are winning, but Time Decay might eat our profits before we reach the target."
The Action: The script converts your trade into a Spread.
Why? This cancels out the effect of Time Decay. It anchors your profit, allowing you to stay in the trade longer without losing value to time.
█ The "Intra-Bar" Method (Crucial for Scalpers)
This is an Aggressive System . waiting for a candle to close (e.g., waiting 5 minutes) before giving a signal. In scalping, 5 minutes is an eternity. This is only and only for the Scalpers. It is designed to enter fast, capture quick moves, and exit or adjust immediately if the market conditions change.
Real-Time Logic : BE-QuantFlow calculates logic on every tick (every price change). It screams "GO" the second a condition is met.
The "Repaint" Reality : Because it is fast, you might see a label appear and then disappear if the price snaps back instantly. This is a feature, not a bug . It is hunting for the exact moment momentum breaks.
Trust the Alerts, Not the Labels : Do not trade by looking at the chart labels alone. They are for visual reference. You must trust the Alerts. If an alert fires, the math was valid at that millisecond, and the trade should be executed.
Transparency : Use the "Show Debug Levels" checkbox in the settings. This reveals what's happening under the hood (Stop Losses, Trigger points etc) in the form of alerts by helping you understand why an alert fired.
█ Do's and Don'ts
✅ Do's
Start Small : Keep the Lot Multiplier at 1 initially. Option can earn and burn you badly; get used to the rhythm.
Discipline is Key : If the Algo signals a "Hedge," you must Hedge. If you ignore or try to manually execute other option strike as the hedge thinking "it will recover loss back," you defeat the mathematical advantage of the system.
❌ Don'ts
Don't Manual Trade : The script tracks quantities, strikes, calls & puts internally. let the script do its intended job. Manually intervening can leave you with naked positions.
█ Risk & Protocols
⚠️ Margin Requirements
Because this script sells options (during Flips and Spreads), your broker will block more margin than a simple "Buy" trade.
Rule: Always keep a Margin Buffer. If a Hedge alert fires and you have zero free margin, the order will fail, leaving you exposed to a market crash.
⚠️ The "Hard Stop"
No algorithm can predict a war or a sudden news event (Black Swan).
Protocol: The script has a safety line (Dashed Line). If the "EXIT ALL" alert triggers, the trade is dead. Exit immediately. Do not hold onto hope.
⚠️ Intraday Only (Gap Risk)
This logic is designed for a continuous market. It cannot calculate what happens while the market is closed.
Golden Rule: Never carry positions overnight. A gap up or down the next morning can bypass all your hedges and stop losses. Ensure the "Intraday Square-off" setting is enabled to auto-close trades before the bell.
█ How to Start: A Quick Setup Guide
Step 1: Map Expiry Dates
Manually input your trading expiry dates in Settings -> Expiry Management.
Format: YYYY-MM-DD (e.g., 2025-12-25). Strict adherence required for DhanHQ.
Step 2: Configure Symbol & Size
Exchange/Symbol: Enter NSE and NIFTY (or your ticker).
Lot Multiplier: Default is 1. Set to 2 to double all quantities (e.g., Buy 2 becomes Buy 4).
IMPORTANT: Broker & Technology Heads-Up:
The alerts generated by this script ({"secret": "...", "alertType": "multi_leg_order"...}) are specifically formatted for the DhanHQ webhook structure.
Dhan Users: Plug-and-play.
Other Brokers: You need middleware to parse the JSON.
█ Risk Disclaimer & Advice
Trading options involves substantial risk.
Margin: Selling options requires significant margin. Keep a 15-20% cash buffer to handle adjustments instantly.
Testing: This strategy is optimized for NIFTY Weekly Options with TF of 5 to 15 Min. Effectiveness on BankNifty or Sensex is untested and may require parameter tuning.
Advice:
Paper Trade: Run for at least one expiry cycle before live deployment.
Consult: Seek professional financial advice before trading.
Practical Tips for Smooth Execution
For a new trader deploying this system, these operational tips are vital:
Capital Buffer: Do not trade at your limit. Always keep 10-15% free cash in your broker account. Adjustments require additional margin instantly. If margin is short, the order fails, and your hedge breaks.
Liquidity Awareness: The script trades "Far Deep OTM" options too in order to boost profit.
Trust the Process (but Verify): While the algo drives, you are the pilot.
Check your API connection every morning.
Ensure the "Expiry date" matches your real-world date.
Verify that your broker executed all legs of a multi-leg order (partial fills are rare but possible).
The "Human" Stop: If major news breaks (e.g., unexpected election results, war announcements), volatility can expand faster than any algo can react. It is acceptable—and smart—to pause the strategy during known "Black Swan" events or earnings releases.
█ Testing Scope, Feedback
⚠️ Important Note on Asset Classes:
This strategy logic and the associated strike step calculations have been rigorously tested ONLY on NIFTY Index Options with Weekly Expiry.
BankNifty / Sensex / FinNifty: The volatility characteristics and strike intervals with respect to delta, gamma effect and time left for expiry of these instruments differ significantly from NIFTY. The effectiveness of this strategy on these other scripts has not been verified and may require different parameter tuning.
We encourage traders to backtest this logic on other indices and share their findings! If you find a robust parameter set for BankNifty or observe unique behaviors on other scripts, please let us know in the comments below so we can improve the algorithm for everyone. Your feedback is appriciated.
BK AK-Momentum Pivot Wolf🐺 BK AK–Momentum Pivot Wolf — Momentum / Pivots / Confluence 🐺
🙏 All glory to Gd.
Built with standards and discipline passed down by my mentor — thank you for the lens and the insistence on structure over noise.
Update / Record
A previous version of this publication was hidden due to insufficient description. This republish is a complete, self-contained explanation of what the script does, how it works, and how to use it.
✨ What this script does
Pivot Wolf is a TSI-based momentum oscillator system that focuses on extremes → pivots → confirmation, then adds confluence layers (VWAP, MTF alignment, SNR, volume, regime) to reduce chop and low-quality signals.
It’s built to help you:
Identify momentum extremes using dynamic or static bands
Detect pivot points in the oscillator at those extremes
Mark divergences (regular + hidden) between price and oscillator
Confirm/grade signals using a scoring system (or legacy hard filters)
Visualize context via VWAP gating, MTF alignment, and regime state
Project post-pivot expectation zones via T1/T2 targets
Optionally enable historical learning that only applies overrides when validation is strong
🧠 How it works (high level)
1) Momentum engine (TSI blend)
Computes Fast and Slow TSI.
Optionally blends them using volatility weighting (ATR% normalized over a lookback) to adapt responsiveness.
Smooths momentum with a Signal EMA for cross/shift confirmation.
2) Bands define “extremes”
Dynamic mode uses StdDev (or robust MAD) over a lookback to size bands.
Static mode uses a fixed ± level.
Extremes are simply “momentum beyond the band,” with optional tolerance/smoothing.
3) Pivot detection (the main signals)
Uses oscillator pivot highs/lows.
A “strong” pivot is when a pivot forms outside the band (oversold/overbought).
Marker styling, sizes, and tooltips are configurable.
4) Divergence logic
Tracks the last two oscillator pivots and compares them to the last two price pivots:
Bullish divergence: price makes a lower low while oscillator makes a higher low
Bearish divergence: price makes a higher high while oscillator makes a lower high
Includes hidden divergences and optional “require extreme” filtering.
5) Confluence + scoring (0–100)
Instead of only hard rules, Pivot Wolf can compute bull/bear scores using:
VWAP position and/or slope gating
MTF direction alignment across selected timeframes
Signal-to-noise ratio filter (momentum vs signal noise)
Volume confirmation and regime adjustments
Acceleration / deceleration behavior
Structure + consolidation penalties
Signals can be shown as strong or weak (optional), based on your thresholds.
6) Targets / projections
After confirmed pivots, it projects expectation zones using recent run behavior:
T1 = 0.618 projection
T2 = 1.000 projection
Targets can display continuously or only when momentum approaches.
7) Optional historical learning
If enabled, it records pivot outcomes after N bars and runs a train/validation check before applying any learned overrides. If validation fails, it stays on manual settings.
🧭 How to use (simple workflow)
🧩 Check MTF dashboard for alignment (avoid fighting the stack).
🧱 Let momentum reach band extremes (OB/OS).
🔻🔺 Take pivot signals more seriously when score is strong + VWAP gate agrees.
💎 Use divergence as added weight, not as the trigger.
🎯 Manage around T1/T2 as structured expectation zones.
👁️🗨️ King Solomon Lens
“Solomon didn’t predict. He judged. He built tests that made truth show itself. Pivot Wolf is that: pivots as boundary stones, momentum as witness, acceleration as the confession. No hammer in the Temple — rules are cut before entry. When it’s quiet, it’s saving you. When it speaks, it’s a ruling.”
This is not financial advice. This is structure. If you wanted a fortune teller, you’ll hate this script. If you wanted a system that makes the market prove itself before you strike—welcome to the Wolf.
🙏 All glory to G-d—the source of all wisdom and every true edge. 🙏
