Supertrend AT v1.0### Overview
"Supertrend AT v1.0" is an automated trading strategy based on the Supertrend indicator, designed to detect trend reversals and execute entries accordingly. This script supports both **long and short** positions and includes customizable risk management features such as **RPT (Risk Per Trade)** and **RR (Risk/Reward ratio)**.
### Key Features
- 📈 **Supertrend-based Entry Logic**:
- Enters a **long position** when the Supertrend flips from red to green (downtrend → uptrend).
- Enters a **short position** when the Supertrend flips from green to red (uptrend → downtrend).
- 💰 **Auto-Calculated Position Sizing**:
- Quantity is automatically calculated to ensure that loss per trade (including commission) matches the specified risk percentage (RPT).
- 🎯 **Take-Profit and Stop-Loss**:
- Both targets are dynamically computed using the RR ratio and account for commission fees.
- 📊 **Visual Elements**:
- Entry, stop, and target prices are plotted on the chart.
- Real-time PnL and account equity are shown in a dashboard.
- Optional on-screen README guide explains the strategy and key terms.
### Inputs
- **RPT (%)**: Risk per transaction (based on account equity).
- **RR**: Reward-to-risk ratio.
- **Commission (%)**: Used in all calculations (must match the Properties tab).
- **Supertrend Settings**: Adjustable factor and length.
- **Market Decimal Places**: For accurate quantity rounding according to exchange rules.
- **Time Filter**: Set start and end time for trading logic activation.
### Risk Management Logic
This strategy calculates trade size and targets using a formula that considers both the price distance between entry and stop-loss and the effect of commission fees. This ensures:
- Consistent risk across trades
- Realistic take-profit levels
- Exchange-compliant order quantities
### Notes
- ⚠️ Be sure to set the **correct commission rate** and **decimal precision** for your exchange.
- ⚠️ If trade quantity is smaller than your exchange’s minimum unit, orders may be rejected.
- 🔧 For strategy to behave as intended in automation, double-check both **input tab** and **Properties tab** settings.
### Disclaimer
This strategy is for educational and research purposes only. It does not constitute financial advice. Always test on paper before using in a live environment.
波動率
Liquidity Grab Detector (Stop Hunt Sniper) v2.2📌 Purpose
This indicator detects Stop Hunts (Liquidity Grabs) — false breakouts above/below recent highs or lows — filtered by trend direction, volatility, and volume conditions.
It is designed for scalpers and intraday traders who want to identify high-probability reversal zones.
🧠 How It Works
1. Key Logic
Detects previous swing high / swing low over the Lookback Bars.
Marks a false breakout when price moves beyond the level and closes back inside.
Requires a volume spike on the breakout to confirm liquidity sweep.
2. Trend Filter (EMA 50)
Bullish signals only if price is above EMA 50.
Bearish signals only if price is below EMA 50.
This removes most counter-trend stop hunts.
3. ADX Filter
Signals appear only when ADX < Max ADX (low-trend conditions).
This avoids false signals in strong trending markets.
📈 How to Use
Green Arrows: Bullish stop hunt (potential long entry).
Red Arrows: Bearish stop hunt (potential short entry).
Works best in range conditions, liquidity zones, or near session highs/lows.
Combine with order flow, volume profile, or price action for extra confirmation.
Recommended Timeframes: 1m–15m for scalping; 30m–1h for intraday.
Markets: Crypto, Forex, Indices.
⚙️ Inputs
Lookback Bars — swing detection
Volume Spike Multiplier
EMA Length (trend filter)
Min Retrace — how much price must return inside range
Max ADX — trend filter sensitivity
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly before live trading.
Open Interest Screener (Fixed Zones)📌 Purpose
This indicator scans Open Interest (OI) changes across selected exchanges and highlights significant spikes or drops directly on the chart using dynamic shaded zones.
It is designed to help traders detect unusual market positioning changes that may precede volatility events.
🧠 How It Works
1. Data Sources
Supports multiple exchanges: BitMEX USD, BitMEX USDT, Kraken USD (toggle on/off in settings).
Automatically adapts symbol prefix based on the chart’s base asset.
2. Spike / Drop Detection
OI % Change is calculated over a configurable lookback (Bars to look back).
Spike Up: OI increases by more than Threshold %.
Spike Down: OI decreases by more than Threshold %.
3. Dynamic Zones
When a spike occurs, a green zone (increase) or red zone (decrease) is drawn on the chart.
Zone height is dynamic, based on price high/low ± 5%, preventing chart distortion.
Minimum spacing (Zone Spacing) prevents clustering.
📈 How to Use
Green Zones: Large OI increase can signal fresh positioning (possible breakout setups).
Red Zones: Large OI decrease can signal liquidation events or position unwinds.
Combine with price action, funding rates, or volatility measures for higher confidence.
Recommended Timeframes: Works best on 15m, 1h, 4h.
Markets: Crypto derivatives (OI data available).
⚙️ Inputs
Bars to Look Back
OI % Change Threshold
Zone Width
Exchange toggles (BitMEX USD/USDT, Kraken USD)
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly before live trading.
Volume Scanner (Spikes & Drops) [Context]📌 Purpose
This indicator detects significant volume spikes or drops and optionally filters them by price context (local highs/lows).
It helps identify potential breakout or exhaustion points with improved signal quality compared to raw volume alerts.
🧠 How It Works
1. Volume Spike / Drop Detection
SMA Volume over N bars is calculated as baseline.
Volume Spike: Volume > SMA × Spike Multiplier (default 1.5×).
Volume Drop: Volume < SMA × Drop Multiplier (default 0.5×).
2. Context Filter (optional)
When Use Context = ON:
Bullish Context: Volume spike at/near local price high (last Lookback bars).
Bearish Context: Volume drop at/near local price low (last Lookback bars).
3. Signal Gap
Minimum spacing between signals (Min Gap Bars) prevents excessive clustering.
4. Visuals
Background shading:
Green = Volume Spike in bullish context.
Red = Volume Drop in bearish context.
Alerts can be configured for both conditions.
📈 How to Use
Volume Spikes near highs can indicate breakouts or exhaustion tops.
Volume Drops near lows can signal liquidity dry-up or potential reversals.
Combine with price action or support/resistance for confirmation.
Recommended Timeframes: Works on all timeframes; more reliable on 15m, 1h, 4h.
Markets: Crypto, Forex, Stocks.
⚙️ Inputs
Volume SMA Length
Spike Multiplier / Drop Multiplier
Use Context (High/Low filter)
Min Gap Bars (avoid clustered signals)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart Volatility Squeeze + Trend Filter📌 Purpose
This indicator detects volatility squeeze conditions when Bollinger Bands contract inside Keltner Channels and signals potential breakout opportunities.
It also includes an optional EMA-based trend filter to align signals with the dominant market direction.
🧠 How It Works
1. Squeeze Condition
Bollinger Bands (BB): Length = 20, StdDev = 2.0 (default)
Keltner Channels (KC): EMA Length = 20, ATR Multiplier = 1.5 (default)
Squeeze ON: Occurs when BB Upper < KC Upper and BB Lower > KC Lower (low volatility zone).
2. Breakout Signals
Long Breakout: Price crosses above BB Upper after squeeze.
Short Breakout: Price crosses below BB Lower after squeeze.
3. Trend Filter (optional)
EMA(50) used to confirm breakout direction:
Long signals allowed only if price > EMA(50)
Short signals allowed only if price < EMA(50)
Toggle Use Trend Filter to enable/disable.
4. Visual & Alerts
Green circle at chart bottom indicates Squeeze ON.
Green/Red triangles mark breakouts.
Background gradually brightens during squeeze buildup.
Alerts available for long and short breakouts.
📈 How to Use
Look for Squeeze ON → then wait for breakout arrows.
Trade in breakout direction, preferably with trend filter ON.
Works best on higher timeframes (1h, 4h, D) and trending markets.
Markets: Crypto, Forex, Stocks — effective in volatile assets.
⚙️ Inputs
BB Length / StdDev
KC EMA Length / ATR Multiplier
Use Trend Filter
Trend EMA Length
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose
This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters.
🧠 How It Works
A signal is triggered only when all core conditions are satisfied:
1. Swing High/Low Detection
Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50).
This ensures the move is significant relative to recent price action.
2. Impulse Confirmation
Price must extend by at least 1 × ATR from the previous swing point.
This filters out minor fluctuations.
3. Exhaustion Conditions (at least 2 out of 3 must be met)
RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals.
Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier.
Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups.
4. Trend Filter
ADX > ADX Threshold ensures the market is trending and filters out sideways conditions.
5. Candle Body Filter
Candle body must be ≥ Body Size ATR Factor × ATR.
This avoids weak signals from small candles or doji formations.
📈 How to Use
Bearish Signal:
Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts.
Bullish Signal:
Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs.
Recommended Timeframes: Works best on 1h, 4h, and Daily charts.
Markets: Crypto, Forex, Stocks — wherever volatility and trends are present.
⚙️ Inputs
RSI Length / Overbought / Oversold
Volume SMA Length & Volume Spike Multiplier
Wick Threshold %
Extremum Lookback (bars for highs/lows)
ADX Length & Threshold
Body Size ATR Factor
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly and apply proper risk management before live trading.
💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
ATR as % of CloseATR 14day period in % terms
the Normal ATR indicator by TV helps but this gives a clear idea as to the range in percentage terms as and when market rises to newer and newer highs
better than an absolute value
Price Exhaustion Envelope [BackQuant]Price Exhaustion Envelope
Visual preview of the bands:
What it is
The Price Exhaustion Envelope (PEE) is a multi‑factor overextension detector wrapped inside a dynamic envelope framework. It measures how “tired” a move is by blending price stretch, volume surges, momentum and acceleration, plus optional RSI divergence. The result is a composite exhaustion score that drives both on‑chart signals and the adaptive width of three optional envelope bands around a smoothed baseline. When the score spikes above or below your chosen threshold, the script can flag exhaustion, paint candles, tint the background and fire alerts.
How it works under the hood
Exhaustion score
Price component: distance of close from its mean in standard deviation units.
Volume component: normalized volume pressure that highlights unusual participation.
Momentum component: rate of change and acceleration of price, scaled by their own volatility.
RSI divergence (optional): bullish and bearish divergences gently push the score lower or higher.
Mode control: choose Price, Volume, Momentum or Composite. Composite averages the main pieces for a balanced view.
Energy scale (0 to 100)
The composite score is pushed through a logistic transform to create an “energy” value. High energy (above 70 to 80) signals a move that may be running hot, while very low energy (below 20 to 30) points to exhaustion on the downside.
Envelope engine
Baseline: EMA of price over the main lookback length.
Width: base width is standard deviation times a multiplier.
Type selector:
• Static keeps the width fixed.
• Dynamic expands width in proportion to the absolute exhaustion score.
• Adaptive links width to the energy reading so bands breathe with market “heat.”
Smoothing: a short EMA on the width reduces jitter and keeps bands pleasant to trade around.
Band architecture
You can toggle up to three symmetric bands on each side of the baseline. They default to 1.0, 1.6 and 2.2 multiples of the smoothed width. Soft transparent fills create a layered thermograph of extension. The outermost band often maps to true blow‑off extremes.
On‑chart elements
Baseline line that flips color in real time depending on where price sits.
Up to three upper and lower bands with progressive opacity.
Triangle markers at fresh exhaustion triggers.
Tiny warning glyphs at extreme upper or lower breaches.
Optional bar coloring to visually tag exhausted candles.
Background halo when energy > 80 or < 20 for instant context.
A compact info table showing State, Score, Energy, Momentum score and where price sits inside the envelope (percent).
How to use it in trading
Mean reversion plays
When price pierces the outer band and an exhaustion marker prints, look for reversal candles or lower‑timeframe confirmation to fade the move back toward the baseline.
For conservative entries, wait for the composite score to roll back under the threshold or for energy to drop from extreme to neutral.
Set stops just beyond the extreme levels (use extreme_upper and extreme_lower as natural invalidation points). Targets can be the baseline or the opposite inner band.
Trend continuation with smart pullbacks
In strong trends, the first tag of Band 1 or Band 2 against the dominant direction often offers low‑risk continuation entries. Use energy readings: if energy is low on a pullback during an uptrend, a bounce is more likely.
Combine with RSI divergence: hidden bullish divergence near a lower band in an uptrend can be a powerful confirmation.
Breakout filtering
A breakout that occurs while the composite score is still moderate (not exhausted) has a higher chance of follow‑through. Skip signals when energy is already above 80 and price is punching the outer band, as the move may be late.
Watch env_position (Envelope %) in the table. Breakouts near 40 to 60 percent of the envelope are “healthy,” while those at 95 percent are stretched.
Scaling out and risk control
Use exhaustion alerts to trim positions into strength or weakness.
Trail stops just outside Band 2 or Band 3 to stay in trends while letting the envelope expand in volatile phases.
Multi‑timeframe confluence
Run the script on a higher timeframe to locate exhaustion context, then drill down to a lower timeframe for entries.
Opposite signals across timeframes (daily exhaustion vs. 5‑minute breakout) warn you to reduce size or tighten management.
Key inputs to experiment with
Lookback Period: larger values smooth the score and envelope, ideal for swing trading. Shorter values make it reactive for scalps.
Exhaustion Threshold: raise above 2.0 in choppy assets to cut noise, drop to 1.5 for smooth FX pairs.
Envelope Type: Dynamic is great for crypto spikes, Adaptive shines in stocks where volume and volatility wave together.
RSI Divergence: turn off if you prefer a pure price/volume model or if divergence floods the score in your asset.
Alert set included
Fresh upper exhaustion
Fresh lower exhaustion
Extreme upper breach
Extreme lower breach
RSI bearish divergence
RSI bullish divergence
Hook these to TradingView notifications so you get pinged the moment a move hits exhaustion.
Best practices
Always pair exhaustion signals with structure. Support and resistance, liquidity pools and session opens matter.
Avoid blindly shorting every upper signal in a roaring bull market. Let the envelope type help you filter.
Use the table to sanity‑check: a very high score but mid‑range env_position means the band may still be wide enough to absorb more movement.
Backtest threshold combinations on your instrument. Different tickers carry different volatility fingerprints.
Final note
Price Exhaustion Envelope is a flexible framework, not a turnkey system. It excels as a context layer that tells you when the crowd is pressing too hard or when a move still has fuel. Combine it with sound execution tactics, risk limits and market awareness. Trade safe and let the envelope breathe with the market.
Custom NY Opening Bell - Today OnlyThis indicator shows NYC ET opening bell.
It will displace a dashed line on it.
This can be very useful for trades journaling their trades with screenshots.
My indicator will let you know when opening bell happened.
It is also very great when doing backtesting.
Multi Rate of Change (ROC) - 3 LinesMulti Rate of Change (ROC) - 3 Lines
This custom indicator displays three Rate of Change (ROC) lines, each with independently adjustable lookback periods (default: 7, 30, and 100 days). It allows you to quickly compare short-, mid-, and long-term price momentum on the same chart.
All ROC lines show the percent change of the close price compared to N bars ago.
The color, thickness, and style (solid, dotted, dashed) of each ROC line can be customized in the settings.
A zero reference line is included and can also be customized.
Suitable for momentum analysis and identifying trend acceleration or deceleration at multiple timeframes.
Designed for easy use: simply add the indicator to your chart and adjust the settings as needed.
How to use:
Add the indicator to your chart.
Set each ROC period (e.g., 7, 30, 100 days) as desired.
Adjust colors, line widths, and styles for better visibility.
Interpret positive ROC values as upward momentum, negative values as downward momentum.
No repainting. All calculations use close prices only.
If you need more ROC lines or additional features, let me know!
MR.Z Stoch RSI %K Reversal Signals🟢 K Strategy Description
The K Strategy is a momentum-based trading technique using the %K line from the Stochastic Oscillator. It is designed to detect potential reversal points in price trends by identifying extreme conditions of overbought and oversold levels.
✅ Core Logic:
The strategy monitors the %K line (a smoothed form of RSI momentum).
A Buy Signal is triggered when:
The %K line dips to or below a defined lower threshold (commonly 30 or less).
This suggests the asset is oversold and may soon reverse upward.
A Sell Signal is triggered when:
The %K line peaks above an upper threshold (commonly 70 or more).
This suggests the asset is overbought and may reverse downward.
⚙️ Adjustable Parameters:
K Length: The sensitivity of the %K calculation (affects how fast it responds).
Buy Level: Set your oversold trigger (e.g., 20–40).
Sell Level: Set your overbought trigger (e.g., 60–100).
Signal Smoothing (optional): Helps reduce noise and avoid false triggers.
📈 Use Case:
This strategy is effective in ranging markets where prices frequently oscillate. It can also be used with other indicators (like EMA, volume filters, or price action confirmation) to increase accuracy in trending conditions.
Hawkes Volatility Exit IndicatorOverview
The Hawkes Volatility Exit Indicator is a powerful tool designed to help traders capitalize on volatility breakouts and exit positions when momentum fades. Built on the Hawkes process, it models volatility clustering to identify optimal entry points after quiet periods and exit signals during volatility cooling. Designed to be helpful for swing traders and trend followers across markets like stocks, forex, and crypto.
Key Features Volatility-Based Entries: Detects breakouts when volatility spikes above the 95th percentile (adjustable) after quiet periods (below 5th percentile).
This indicator is probably better on exits than entries.
Smart Exit Signals: Triggers exits when volatility drops below a customizable threshold (default: 30th percentile) after a minimum hold period.
Hawkes Process: Uses a decay-based model (kappa) to capture volatility clustering, making it responsive to market dynamics.
Visual Clarity: Includes a volatility line, exit threshold, percentile bands, and intuitive markers (triangles for entries, X for exits).
Status Table: Displays real-time data on position (LONG/SHORT/FLAT), volatility regime (HIGH/LOW/NORMAL), bars held, and exit readiness.
Customizable Alerts: Set alerts for breakouts and exits to stay on top of trading opportunities.
How It Works Quiet Periods: Identifies low volatility (below 5th percentile) that often precede significant moves.
Breakout Entries: Signals bullish (triangle up) or bearish (triangle down) entries when volatility spikes post-quiet period.
Exit Signals: Suggests exiting when volatility cools below the exit threshold after a minimum hold (default: 3 bars).
Visuals & Table: Tracks volatility, position status, and signals via lines, shaded zones, and a detailed status table.
Settings
Hawkes Kappa (0.1): Adjusts volatility decay (lower = smoother, higher = more sensitive).
Volatility Lookback (168): Sets the period for percentile calculations.
ATR Periods (14): Normalizes volatility using Average True Range.
Breakout Threshold (95%): Volatility percentile for entries.
Exit Threshold (30%): Volatility percentile for exits.
Quiet Threshold (5%): Defines quiet periods.
Minimum Hold Bars (3): Ensures positions are held before exiting.
Alerts: Enable/disable breakout and exit alerts.
How to Use
Entries: Look for triangle markers (up for long, down for short) and confirm with the status table showing "ENTRY" and "LONG"/"SHORT."
Exits: Exit on X cross markers when the status table shows "EXIT" and "Exit Ready: YES."
Monitoring: Use the status table to track position, bars held, and volatility regime (HIGH/LOW/NORMAL).
Combine: Pair with price action, support/resistance, or other indicators for better context.
Tips : Adjust thresholds for your market: lower breakout thresholds for more signals, higher exit thresholds for earlier exits.
Test on your asset to ensure compatibility (best for markets with volatility clustering).
Use alerts to automate signal detection.
Limitations Requires sufficient data (default: 168 bars) for reliable signals. Check "Data Status" in the table.
Focuses on volatility, not price direction—combine with trend tools.
May lag slightly due to the smoothing nature of the Hawkes process.
Why Use It?
The Hawkes Volatility Exit Indicator offers a unique, data-driven approach to timing trades based on volatility dynamics. Its clear visuals, customizable settings, and real-time status table make it a valuable addition to any trader’s toolkit. Try it to catch breakouts and exit with precision!
This indicator is based on neurotrader888's python repo. All credit to him. All mistakes mine.
This conversion published for wider attention to the Hawkes method.
Fibonacci Range Detector ║ BullVision🔬 Overview
The Fibonacci Range Mapper is a dynamic technical tool designed to identify, track, and visualize price ranges using Fibonacci levels. Whether you're trading manually or prefer automated structure recognition, this indicator helps you contextualize market moves and locate key price zones with precision.
⚙️ Core Logic
🔍 Range Detection (Auto & Manual Modes)
In Auto mode, the indicator uses an advanced ZigZag system based on ATR or percentage thresholds to confirm market swings and construct Fibonacci-based ranges.
In Manual mode, traders can define their own swing low and high to generate precise custom ranges.
📐 Fibonacci Mapping
Each detected range is automatically plotted with key Fibonacci retracement levels — 0%, 25%, 50%, 75%, 100% — along with optional extensions (127.2% and 161.8%) to anticipate price continuations or reversals.
📋 Live Data Table
An integrated info panel dynamically displays crucial metrics:
• Range size
• Current price zone (Discount / Mid / Premium)
• Position within range (%)
• Distance to range extremes
• Range status (Pending or Confirmed)
🕰️ Historical Memory
Up to 20 past ranges can be stored and visualized simultaneously, helping traders recognize repeated price behaviors and contextual support/resistance levels.
🎨 Visual Highlights
Zones of interest (0–25% = Discount, 75–100% = Premium) are color-coded with custom transparency, and labels can be toggled for clarity. The current active range updates in real time as structure evolves.
🔧 User Customization
• Detection Method: Choose between ATR or % ZigZag for automated swing identification
• Confirmation Delay: Set how many bars to wait before confirming a new high
• Manual Overrides: Select exact price levels when you want full control
• Extensions & Labels: Toggle additional lines and info to suit your charting style
• Visual Table Position: Customize where the data table appears on screen
• Color Scheme: Define your own zone gradients for better visual interpretation
📈 Use Cases
This indicator is ideal for traders who want to:
• Identify value zones within local or macro price structures
• Plan trades around Fibonacci retracement and extension levels
• Detect shifts in market structure using an adaptive ZigZag logic
• Track recurring price ranges and historical reaction points
• Enhance technical confluence with clean, visual price mapping
⚠️ Important Notes
This tool is not a buy/sell signal generator — it is a visual framework for structure-based analysis.
Use it in conjunction with your existing strategy and risk management process.
Always confirm with broader context and multi-timeframe alignment.
IV PercentileIV Percentile Indicator - Brief Description
What It Does
The IV Percentile Indicator measures where current implied volatility ranks compared to the past year, showing what percentage of time volatility was lower than today's level.
How It Works
Data Collection:
Tracks implied volatility (or historical volatility as proxy) for each trading day
Stores the last 252 days (1 year) of volatility readings
Uses VIX data for SPY/SPX, historical volatility for other stocks
Calculation:
IV Percentile = (Days with IV below current level) ÷ (Total days) × 100
Example: If IV Percentile = 75%, it means current volatility is higher than 75% of the past year's readings.
Visual Output
Main Display:
Blue line showing percentile (0-100%)
Reference lines at key levels (20%, 30%, 50%, 70%, 80%)
Color-coded backgrounds for quick identification
Info table with current readings
Key Levels:
80%+ (Red): Very high IV → Sell premium
70-79% (Orange): High IV → Consider selling
30-20% (Green): Low IV → Consider buying
<20% (Bright Green): Very low IV → Buy premium
Trading Application
When IV Percentile is HIGH (70%+):
Options are expensive relative to recent history
Good time to sell premium (iron condors, credit spreads)
Expect volatility to decrease toward normal levels
When IV Percentile is LOW (30%-):
Options are cheap relative to recent history
Good time to buy premium (straddles, long options)
Expect volatility to increase from compressed levels
Core Logic
The indicator helps answer: "Is this a good time to buy or sell options based on how expensive/cheap they are compared to recent history?" It removes the guesswork from volatility timing by providing historical context for current option prices.
RSI+BOLLINGER (LONG & SHORT)This indicator combines two of the most popular tools in technical analysis, the Relative Strength Index (RSI) and Bollinger Bands (BB), to generate both long (BUY) and short (SELL) trading signals.
Strategy:
Entries (Buy/Short): Entry signals are based on the RSI.
A BUY is suggested when the RSI crosses above an oversold level (default: 29), indicating a possible upward reversal.
A SHORT is suggested when the RSI crosses below an overbought level (default: 71), indicating a possible downward reversal.
Exits (Position Closure): Exit signals are based on Bollinger Bands.
A long position is closed when the price crosses below the upper Bollinger Band.
A short position is closed when the price crosses above the lower Bollinger Band.
Key Features:
Cascade Filter: Includes a smart filter that prevents opening new consecutive trades if the price hasn't moved significantly in favor of a new entry, optimizing signal quality.
Automation Alerts: Generates detailed alerts in JSON format for each event (buy, sell, close), designed for easy integration with trading bots and automated systems via webhooks.
Fully Configurable: All parameters of the RSI, Bollinger Bands, and strategy filters can be adjusted from the indicator’s settings menu.
Clarix Trailing MasterClarix Trailing Master
Advanced Manual Entry Trailing Stop Strategy
Purpose :
Clarix Trailing Master is designed to give traders precise control over trade exits with a customizable trailing stop system. It combines manual entry inputs with dynamic and static trailing stop options, empowering users to protect profits while minimizing premature stop-outs.
How It Works:
You manually input your trade entry price and specify the trade direction (Long or Short).
The strategy activates the trailing stop only after the price moves favorably by a configurable profit threshold. This helps avoid early stop losses during initial market noise.
You can choose between a dynamic trailing stop based on Average True Range (ATR) or a fixed static trailing distance. The ATR can also be computed on a higher timeframe for enhanced stability.
Once active, the trailing stop updates live with price movements, ensuring your gains are locked in progressively.
If the price crosses the trailing stop, a clear alert triggers, and the stop-hit status displays visually on the chart.
Key Features:
Manual entry with exact price and timestamp input for precise trade tracking.
Supports both Long and Short trades.
Choice between dynamic ATR-based trailing or static trailing stops.
Configurable profit threshold before trailing stop activation to avoid early exits.
Visual markers for entry and stop-hit points (yellow and red respectively).
Live dashboard displaying entry details, trade status, trailing mode, and current stop level.
Works on all asset classes and timeframes, adaptable to various trading styles.
Built-in audio alert notifies you immediately when the trailing stop is hit.
Usage Tips:
Adjust the profit threshold and ATR settings based on your asset’s volatility and timeframe. For example, use higher ATR multipliers for more volatile markets like crypto.
Consider using higher timeframe ATR values for smoother trailing stops in fast-moving markets.
Ideal for swing trading or position trading where precise stop management is crucial.
Always backtest and paper trade before applying to live markets.
Reversal Signal avec TICK + RSIThis indicator is a potential reversal indicator for SCALPING, don't use it for swing. It's base on TICK and on an overbrought/oversold condition of the RSI. You can play with the setting, typicaly I like my TICK to be over reacting an 800/-800 and my rsi over 20 and 80, but it give not enough signal. So I set the TICK signal at 651/-651 and the RSI at 25/75. This indicator is made for SP500 and Nasdaq, so SPY/QQQ/SPX/ES/NQ should work well. It's the first version of it, so maybe I'll add so more data to it to increase signal and lower false one. For now I've test it on live market yet(26/7/25).
The RSI is Fast(5 period), I like to use it on the 1 or 5 min chart.
Please not that it only work during 9h30am to 4pm EST.(Because of the TICK)
Feel free to try and even comment. Don't be harsh on me, it's my first try!
(Sorry for my 'english' it's not my first language)
FAUCON
HTF Current/Average RangeThe "HTF(Higher Timeframe) Current/Average Range" indicator calculates and displays the current and average price ranges across multiple timeframes, including daily, weekly, monthly, 4 hour, and user-defined custom timeframes.
Users can customize the lookback period, table size, timeframe, and font color; with the indicator efficiently updating on the final bar to optimize performance.
When the current range surpasses the average range for a given timeframe, the corresponding table cell is highlighted in green, indicating potential maximum price expansion and signaling the possibility of an impending retracement or consolidation.
For day trading strategies, the daily average range can serve as a guide, allowing traders to hold positions until the current daily range approaches or meets the average range, at which point exiting the trade may be considered.
For scalping strategies, the 15min and 5min average range can be utilized to determine optimal holding periods for fast trades.
Other strategies:
Intraday Trading - 1h and 4h Average Range
Swing Trading - Monthly Average Range
Short-term Trading - Weekly Average Range
Also using these statistics in accordance with Power 3 ICT concepts, will assist in holding trades to their statistical average range of the chosen HTF candle.
CODE
The core functionality lies in the data retrieval and table population sections.
The request.security function (e.g., = request.security(syminfo.tickerid, "D", , lookahead = barmerge.lookahead_off)) retrieves high and low prices from specified timeframes without lookahead bias, ensuring accurate historical data.
These values are used to compute current ranges and average ranges (ta.sma(high - low, avgLength)), which are then displayed in a dynamically generated table starting at (if barstate.islast) using table.new, with conditional green highlighting when the current range is greater than average range, providing a clear visual cue for volatility analysis.
WT + Stoch RSI Reversal Combo📊MR.Z RSI : WT + Stochastic RSI Reversal Combo
This custom indicator combines WaveTrend oscillator and Stochastic RSI to detect high-confidence market reversal points, filtering signals so they only appear when both indicators align.
🔍 Core Components:
✅ WaveTrend Oscillator
Based on smoothed deviation from EMA (similar to TCI logic)
Plots:
WT1 (main line)
WT2 (signal line = SMA of WT1)
Uses overbought/oversold thresholds (default: ±53) to filter signals
✅ Stochastic RSI
Momentum oscillator based on RSI's stochastic value
Plots:
%K: smoothed Stoch of RSI
%D: smoothed version of %K
Adjustable oversold/overbought thresholds (default: 20/80)
🔁 Combined Reversal Signal Logic:
🔼 Buy Signal
WT1 crosses above WT2 below WT oversold level (e.g., -53)
%K crosses above %D below Stoch RSI oversold level (e.g., 20)
🔽 Sell Signal
WT1 crosses below WT2 above WT overbought level (e.g., 53)
%K crosses below %D above Stoch RSI overbought level (e.g., 80)
🔔 Signals are only plotted and alerted if both conditions are true.
📌 Features:
Toggle on/off:
WaveTrend lines and histogram
Stochastic RSI
Combined Buy/Sell signals
Horizontal reference lines (±100, OB/OS)
Fully customizable smoothing lengths and thresholds
Signal plots:
✅ Green up-triangle = Combo Buy
✅ Red down-triangle = Combo Sell
Optional: Circle/cross markers for WT-only and Stoch-only signals
🔔 Built-in alerts for Buy/Sell signals
📈 Use Cases:
Reversal Trading: Wait for both indicators to confirm momentum shift
Entry Filter: Use in combination with trend indicators (like EMA)
Scalping or Swing: Works on intraday and higher timeframes
RV Indicator This Pine Script defines a custom Relative Volatility (RV) Indicator, which measures the ratio of directional price movement to volatility over a specified number of bars. Below is a full explanation of what this script does.
Title:
RV Indicator — Relative Volatility Oscillator
Purpose:
This indicator measures how aggressively price is moving compared to recent volatility, and smooths the result with a signal line. It can be used to gauge momentum shifts and trend strength.
How It Works – Step by Step
1. Measuring Price Momentum (v1)
It calculates the difference between the close and open prices of the last 4 candles.
A weighted average is applied:
The current candle and the one 3 bars ago get weight 1.
The two middle candles (1 and 2 bars ago) get weight 2.
This creates a smoothed momentum measure:
If close > open (bullish), v1 is positive.
If close < open (bearish), v1 is negative.
2. Measuring Volatility (v2)
Similarly, it calculates the high-low range for the last 4 candles.
The same weighting (1, 2, 2, 1) is applied.
This gives a smoothed volatility measure.
3. Combining Momentum and Volatility (RV Ratio)
For the past ti bars (default: 10), it sums up:
All v1 values (momentum sum)
All v2 values (volatility sum)
Then it divides them:
𝑅𝑉= sum of price momentum % sum of volatility
This produces the RV value:
RV > 0: Momentum is bullish (price is generally moving up relative to its volatility).
RV < 0: Momentum is bearish (price is moving down relative to its volatility).
4. Smoothed Signal Line (rvsig)
A smoothed version of the RV is created using a weighted average of the latest 4 RV values.
This acts like a signal line, similar to how MACD uses a signal line.
Crossovers between RV and this signal line can be used to detect shifts in momentum.
5. Visual Output
Orange Line (RV): Shows the raw momentum/volatility ratio.
Blue Line (Signal): A smoother line that follows RV more slowly.
Zero Line: Divides bullish vs. bearish momentum.
How to Use It in Trading
1. Look for Crossovers:
If RV crosses above its signal line → Possible buy signal (momentum turning bullish).
If RV crosses below its signal line → Possible sell signal (momentum turning bearish).
2. Check the Zero Line:
If both RV and Signal are above zero, momentum is bullish.
If both are below zero, momentum is bearish.
3. Filter False Signals:
Combine RV with a trend filter (like a 50 or 200 EMA) to avoid trading against the main trend.
Disclaimer: This script is for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading decisions are solely your responsibility. Use at your own risk.
Stochastic Z-Score [AlgoAlpha]🟠 OVERVIEW
This indicator is a custom-built oscillator called the Stochastic Z-Score , which blends a volatility-normalized Z-Score with stochastic principles and smooths it using a Hull Moving Average (HMA). It transforms raw price deviations into a normalized momentum structure, then processes that through a stochastic function to better identify extreme moves. A secondary long-term momentum component is also included using an ALMA smoother. The result is a responsive oscillator that reacts to sharp imbalances while remaining stable in sideways conditions. Colored histograms, dynamic oscillator bands, and reversal labels help users visually assess shifts in momentum and identify potential turning points.
🟠 CONCEPTS
The Z-Score is calculated by comparing price to its mean and dividing by its standard deviation—this normalizes movement and highlights how far current price has stretched from typical values. This Z-Score is then passed through a stochastic function, which further refines the signal into a bounded range for easier interpretation. To reduce noise, a Hull Moving Average is applied. A separate long-term trend filter based on the ALMA of the Z-Score helps determine broader context, filtering out short-term traps. Zones are mapped with thresholds at ±2 and ±2.5 to distinguish regular momentum from extreme exhaustion. The tool is built to adapt across timeframes and assets.
🟠 FEATURES
Z-Score histogram with gradient color to visualize deviation intensity (optional toggle).
Primary oscillator line (smoothed stochastic Z-Score) with adaptive coloring based on momentum direction.
Dynamic bands at ±2 and ±2.5 to represent regular vs extreme momentum zones.
Long-term momentum line (ALMA) with contextual coloring to separate trend phases.
Automatic reversal markers when short-term crosses occur at extremes with supporting long-term momentum.
Built-in alerts for oscillator direction changes, zero-line crosses, overbought/oversold entries, and trend confirmation.
🟠 USAGE
Use this script to track momentum shifts and identify potential reversal areas. When the oscillator is rising and crosses above the previous value—especially from deeply negative zones (below -2)—and the ALMA is also above zero, this suggests bullish reversal conditions. The opposite holds for bearish setups. Reversal labels ("▲" and "▼") appear only when both short- and long-term conditions align. The ±2 and ±2.5 thresholds act as momentum warning zones; values inside are typical trends, while those beyond suggest exhaustion or extremes. Adjust the length input to match the asset’s volatility. Enable the histogram to explore underlying raw Z-Score movements. Alerts can be configured to notify key changes in momentum or zone entries.
Supertrend with ADX & MTF MA Filter# **Supertrend with ADX & MTF MA Filter - Comprehensive Explanation**
---
## **1. Purpose of This Indicator**
This indicator combines three powerful technical analysis tools to create a robust trading system:
✅ **Supertrend** (Trend-following)
✅ **ADX Filter** (Trend strength confirmation)
✅ **MTF MA Filter** (Multi-timeframe trend direction confirmation)
**Primary Goals:**
✔ **Identify high-probability trend reversals** with confirmation from multiple indicators
✔ **Filter out weak trends** using ADX (Average Directional Index)
✔ **Add higher timeframe context** with MTF (Multi-TimeFrame) Moving Average
✔ **Reduce false signals** by requiring confluence between all three components
---
## **2. Core Logic & Components**
### **A. Supertrend (Base Indicator)**
- **Calculation:**
```pine
up = hl2 - (Multiplier * ATR(Periods))
dn = hl2 + (Multiplier * ATR(Periods))
```
- **Bullish trend** when price > `up` (green line)
- **Bearish trend** when price < `dn` (red line)
- **Why Supertrend?**
- Simple yet effective trend-following system
- Adapts to volatility via ATR (Average True Range)
---
### **B. ADX Filter (Trend Strength Confirmation)**
- **ADX Calculation:**
```pine
= calcADX(adxLength, adxSmoothing)
strongTrend = adxVal >= adxThreshold
```
- **ADX > Threshold (Default: 20)** = Strong trend
- **DI+ > DI-** = Bullish momentum
- **DI- > DI+** = Bearish momentum
- **Why ADX?**
- Avoids trading in choppy markets (low ADX = weak trend)
- Confirms if Supertrend signals occur in a strong trend
---
### **C. MTF MA Filter (Higher Timeframe Trend Alignment)**
- **Moving Average Calculation:**
```pine
= getMA(maSource, maLength, maType, maTF)
```
- **MA Type:** SMA, EMA, WMA, or DEMA
- **Timeframe:** Any (1m, 5m, 1H, 4H, D, W, M)
- **Trend Direction:**
- **Buy Signal:** MA must be **rising**
- **Sell Signal:** MA must be **falling**
- **Why MTF MA?**
- Aligns trades with the **higher timeframe trend**
- Reduces counter-trend entries
---
## **3. How to Use This Indicator**
### **A. Buy Conditions (All Must Be True)**
1. **Supertrend turns bullish** (price crosses above `up` line)
2. **ADX ≥ Threshold** (trend is strong)
3. **Higher timeframe MA is rising** (confirms bullish bias)
### **B. Sell Conditions (All Must Be True)**
1. **Supertrend turns bearish** (price crosses below `dn` line)
2. **ADX ≥ Threshold** (trend is strong)
3. **Higher timeframe MA is falling** (confirms bearish bias)
### **C. Recommended Settings**
| Parameter | Recommended Value | Description |
|-----------|------------------|-------------|
| **ATR Period** | 14 | Sensitivity of Supertrend |
| **Multiplier** | 1.5-3.0 | Adjust for volatility |
| **ADX Threshold** | 20-25 | Higher = stricter trend filter |
| **MA Length** | 20-50 | Smoothness of trend filter |
| **MA Timeframe** | 1H/D | Align with trading style |
---
## **4. Trading Strategies**
### **A. Trend-Following Strategy**
- **Enter:** When all 3 conditions align (Supertrend + ADX + MA)
- **Exit:** When Supertrend flips or ADX drops below threshold
### **B. Pullback Strategy**
- **Wait for:**
- Supertrend in trend direction
- ADX remains strong
- MA still aligned
- **Enter:** On pullback to Supertrend line
### **C. Multi-Timeframe Confirmation**
- **Intraday traders:** Use 4H/D MA for trend bias
- **Swing traders:** Use D/W MA for trend bias
---
## **5. Advantages Over Standard Supertrend**
✔ **Fewer false signals** (ADX filters weak trends)
✔ **Higher timeframe alignment** (avoids trading against larger trends)
✔ **Customizable MA types** (SMA, EMA, WMA, DEMA)
✔ **Works on all markets** (stocks, forex, crypto)
---
### **Final Thoughts**
This indicator is designed for traders who want **high-confidence trend signals** by combining:
🔹 **Supertrend** (entry trigger)
🔹 **ADX** (trend strength filter)
🔹 **MTF MA** (higher timeframe trend alignment)
By requiring all three components to align, it significantly improves signal quality compared to standalone Supertrend systems.
**→ Best for:** Swing trading, trend-following, and avoiding choppy markets.
Lorentzian Theory Classifier🧮 Lorentzian Theory Classifier: An Observatory for Market Spacetime
Transcend the flat plane of traditional charting. Enter the curved, dynamic reality of market spacetime. The Lorentzian Theory Classifier (LTC) is not an indicator; it is a computational observatory. It is an instrument engineered to decode the geometry of market behavior, revealing the hidden curvatures and resonant frequencies that precede significant turning points.
We discard the outdated tools of Euclidean simplicity and embrace a more profound truth: financial markets, much like the cosmos described by general relativity, are governed by a fabric that is warped by the mass of participation and the energy of volatility. The LTC is your lens to perceive this fabric, to move beyond predicting lines on a chart and begin reading the very architecture of probability.
The Resonance Manifold: Standard Euclidean models search for historical analogues within a rigid sphere, missing the crucial outliers that define market extremes. The LTC's Lorentzian Resonance engine operates in a curved, non-Euclidean space, allowing it to connect with these "fat-tail" events—the true genesis points of major reversals.
🌌 THE THEORETICAL FRAMEWORK: A new Grand Unified Theory of Market Analysis
The LTC is built upon a revolutionary synthesis of concepts from special relativity, quantum mechanics, and information theory. It reframes market analysis not as a problem of forecasting, but as a problem of state recognition in a non-Euclidean manifold.
1. The Lorentzian Kernel: The Mathematics of Reality
Financial markets are not Gaussian. Their reality is one of "fat tails"—sudden, high-impact events that standard models dismiss as anomalies. The LTC acknowledges this reality by using the mathematically pure and robust Lorentzian kernel as its core engine:
Similarity(x, y) = 1 / (1 + (||x − y||² / γ²))
||x − y||²: The squared distance between the current market state (x) and a historical state (y) in our 8-dimensional feature space.
γ (Gamma): A dynamic bandwidth parameter, our "Lorentz factor," which adapts to market entropy (chaos). In calm markets, gamma is small, demanding precise resonance. In chaotic markets, gamma expands, intelligently seeking broader patterns.
This heavy-tailed function is revolutionary. It correctly assigns profound significance to the rare, extreme events that truly define market structure, while gracefully tuning out the noise of mundane price action. It doesn't just calculate; it understands context.
2. The 8-Dimensional State Vector: The Market's Quantum Fingerprint
To achieve a holistic view, the LTC projects the market onto an 8-dimensional Hilbert space, where each dimension represents a critical "observable":
Momentum & Acceleration (f_rsi, f_roc): The market's velocity and its rate of change.
Cyclical Position (f_stoch, f_cci): The market's location within its recent oscillation cycles.
Energy & Participation (f_vol, f_cor): The force of capital flow and its harmony with price.
Chaos & Uncertainty (f_ent, f_mom): The degree of randomness and the standardized force of price changes.
These are not eight separate indicators. They are entangled properties of a single "market wavefunction." The LTC's genius lies in measuring the geometric distance between these complete quantum states.
3. The k-NN Oracle: A Council of Past Universes
The LTC employs a k-Nearest Neighbors algorithm, but in our curved Lorentzian spacetime. It poses a constant, profound question: " Which moments in history are most geometrically congruent to the present moment across all eight dimensions? "
It then summons a "council" of these historical neighbors. Each neighbor's future outcome (did price ascend or descend?) casts a vote, weighted by its resonant similarity. The result is a probabilistic forecast of stunning clarity:
Prognosis: The final weighted consensus on future direction.
Assurance: The degree of unanimity within the council—a direct measure of the prediction's confidence.
The Funnel of Conviction: The LTC's process is a rigorous distillation of information. Raw, chaotic market data is resolved into a clean 8-dimensional state vector. The Lorentzian Kernel filters these states for resonance, which are then passed to the k-NN Oracle for a vote. Noise is eliminated at each stage, resulting in a single, validated, high-conviction signal.
⚙️ THE COMMAND CONSOLE: A Guide to Calibrating Your Observatory
Mastering the LTC's inputs is to become an architect of your own analytical universe. Each parameter is a dial that tunes the observatory's focus, from galactic structures to subatomic fluctuations. The tooltips in-script—over 6,000 words of documentation—provide immediate reference; this guide provides the philosophy.
A summarized guide to the Core, Signal, Supreme, and Visual controls is included directly in the indicator's code and tooltips. We encourage all users to explore these settings to tune the LTC to their unique analytical style.
🏆 THE SUPREME DASHBOARD: Your Mission Control
The dashboard is not a data table; it is your command interface with market reality. It translates the intricate dance of probabilities and vectors into clear, actionable intelligence.
⚡ ORACLE STATUS
Prognosis: The primary directional vector. Its color, magnitude, and emoji (⚡) reveal the strength and conviction of the Oracle's forward guidance.
Assurance: A real-time gauge of prediction quality, from "LOW" (high uncertainty) to "ELITE" (overwhelming statistical consensus). Interpret this as your core risk metric: trade with conviction when Assurance is ELITE; trade with caution when it is LOW.
🔮 RESONANCE ANALYSIS
Chaos: A direct measurement of market entropy. "LOW CHAOS" signifies a predictable, orderly regime. "HIGH CHAOS" is a warning of randomness and unpredictability, where trend-following logic may fail.
Turbulence: A measure of raw volatility. When the market is "TURBULENT," expect wider price swings and increased risk. Use this metric to adjust stop-loss distances and profit targets dynamically.
🏆 PERFORMANCE & ⚔️ GUARD METRICS
These sections provide illustrative statistics on the script's recent historical behavior. Metrics like Yield Ratio and Guard Index offer a quick heuristic on the prevailing risk-reward environment. Crucially, these are for observational context only and are not a substitute for your own rigorous testing and analysis.
🎨 THE VISUAL MANIFESTATION: Charting the Unseen
The LTC's visuals are designed to transform your chart from a 2D price graph into a 4D informational battlespace.
The Dynamic Aura (Background Color): This is the ambient energy field of the market. A luminous green (Ascend) signifies a bullish resonance field; a deep red (Descend) indicates bearish pressure.
The Assurance Shroud (Blue Bands): A visualization of confidence. When the shroud is wide and expansive , the Oracle's vision is clear and its predictions are robust.
The Prognosis Arc (Curved Line): A geodesic projection of the market's most likely path, based on the current Prognosis.
The Turbulence Cloud (Orange Mist): A visual warning system for market chaos. When this entropic mist expands , it is a clear sign that you are navigating a nebula of high unpredictability.
Oracle Markers (▲▼): The final, validated signals. These are not merely pivot points. They are moments in spacetime where a structural pivot has been confirmed and then ratified by a high-conviction vote from the Lorentzian Oracle. They are the pinnacles of confluence.
The Analyst's Observatory: The LTC transforms your chart into a command center for market analysis, providing a complete, at-a-glance view of market state, risk, and probabilistic trajectory.
🔧 THE ARCHITECT'S VISION: From a Blank Slate to a New Cosmos
The LTC was not assembled; it was derived. It began not with code, but with first principles, asking: "If we were to build an instrument to measure the market today, unbound by the technical dogmas of the 20th century, what would it look like?" The answer was clear: it must be multi-dimensional, it must be adaptive, and it must be built on a mathematical framework that respects the "fat-tailed" nature of reality.
The decision to use a pure Lorentzian kernel was non-negotiable. It represented a commitment to intellectual honesty over computational ease. The development of the Supreme Dashboard was driven by the philosophy of the "glass cockpit"—a belief that a trader's greatest asset is not a black box signal, but a transparent and intuitive flow of high-quality information. This script is the result of that unwavering vision: to create not just another indicator, but a new lens through which to perceive the market.
⚠️ RISK DISCLOSURE & PHILOSOPHY OF USE
The Lorentzian Theory Classifier is an instrument of profound analytical power, intended for the serious, discerning trader. It does not generate infallible signals. It generates high-probability, data-driven hypotheses based on a rigorous and transparent methodology. All trading involves substantial risk, and the future is fundamentally unknowable. Past performance, whether real or simulated, is no guarantee of future results. Use this tool to augment your own skill, to confirm your own analysis, and to manage your own risk within a well-defined trading plan.
"The effort to understand the universe is one of the very few things that lifts human life a little above the level of farce, and gives it some of the grace of tragedy."
— Steven Weinberg, Nobel Laureate in Physics
Trade with rigor. Trade with perspective. Trade with enlightenment. Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
