Gold Raider Pro [Plazo Sullivan Roche Capital]Core logic
During the London kill-zone, the script locks in the session high/low (LKZ).
After London ends, it looks for a liquidity sweep (price pokes beyond LKZ high/low) then a BOS (break of the first opposing swing) to confirm reversal.
Trades are only valid with higher-timeframe bias (D1 & H4 above/below EMA-50 in agreement).
Optional filters block weak signals: time gate (NY cutoff), ADR (skip if the day’s move is already stretched), and VWAP alignment (Midnight/Weekly/Monthly).
Output is a unified signal: BUY after low sweep + BOS in bull HTF, SELL after high sweep + BOS in bear HTF; labels + dashboard summarize state and reasons.
Best setup & usage
Chart & broker: XAUUSD on a high-liquidity feed (ICMarkets/FXPro/OANDA). Use 2m–5m for executions; confirm with 15m market structure.
Session: Set timezone to America/New_York. Default London kill-zone 02:30–04:30 NY; stop taking new signals after 11:00 NY (toggle in inputs).
HTF bias: Keep EMA length = 50 on D & H4 (default). Only toggle off bias if you’re deliberately testing counter-trend sweeps (not recommended live).
Structure/BOS: Use Swing Length = 3. Leave “Require BOS after the sweep” = ON for the cleanest signals; turn “Require close back inside LKZ” ON only if you want ultra-conservative entries.
VWAP filters: Keep Midnight VWAP = ON; add Weekly/Monthly only on trend days to avoid over-filtering range sessions.
ADR guardrail: Enable ADR filter once you go live; start with ADR Threshold = 0.9 and Lookback 14. This blocks chasing extended moves.
Execution playbook:
BUY: Wait for low sweep of LKZ → BOS up → dashboard shows BULL bias, Time/ADR OK, VWAP pass. Enter on the next pullback or at close; SL below BOS invalidation (or fixed 0.5–0.8× ADR14 of XAU).
SELL: Mirror logic after a high sweep in BEAR bias; SL above BOS invalidation.
TP: Scale at 1R, leave runner to 2–3R or to Midnight/Weekly VWAP touch; hard exit by NY lunchtime or on bias flip.
Risk: 0.25–0.5% per trade (XAU is spiky). One trade per direction per session; if ADR block triggers post-entry, manage to BE or flatten if structure weakens.
Alerts & dashboard: Turn on runtime alerts once parameters are set. Read the Last Signal / Filters row; only act when it shows your direction and “L:OK / S:OK” for your side.
Validation & tuning: Forward-test 3–4 weeks. If over-filtered, relax VWAP Weekly/Monthly first; if too chatty, enforce close-back-inside and keep NY cutoff tight.
Don’ts: Don’t trade during major news spikes, don’t counter the D1/H4 agreement, and don’t enter before BOS—sweeps without structure confirmation are bait.
インジケーターとストラテジー
HTF Candle Overlay - PO3HTF Candle Overlay Script Description
This Pine Script indicator creates a visual overlay of higher timeframe (HTF) candles on your chart. It's a useful tool for multi-timeframe analysis that allows you to see higher timeframe price action context directly on your current chart without having to switch between timeframes.
Main Purpose
The primary purpose of this indicator is to display candles from a higher timeframe (like daily or weekly) directly on your lower timeframe chart (like 5-minute or hourly). This provides crucial context about the larger market structure while you're analyzing shorter-term price movements.
Key Features
Higher Timeframe Selection: You can choose any higher timeframe from the available options (1-minute to monthly), allowing you to view price action from any timeframe higher than your current chart.
Customizable Appearance:
Control the number of HTF candles displayed (1-10)
Adjust the spacing between the candles and current price
Modify candle width for better visibility
Customize colors for bullish and bearish candles, wicks, and borders
Real-time Updates: The current (ongoing) HTF candle updates in real-time as new price data comes in, showing you how the higher timeframe candle is developing.
Time Remaining Display: An optional label shows the current HTF period and how much time remains until the candle closes, helping you time your entries and exits.
Visual Warnings: The script warns you if you select a timeframe that matches your current chart timeframe.
How It Works
Data Retrieval: The script fetches both the current developing candle and historical candles from the selected higher timeframe using request.security() calls.
Candle Processing:
It stores candle data (open, high, low, close, and time) in arrays
Handles both the current developing candle and past completed candles
Updates the current candle in real-time as new price data comes in
Visual Rendering:
Draws candle bodies as boxes with appropriate bullish/bearish colors
Creates wicks as lines extending from the candle bodies
Places candles horizontally on your chart with proper spacing
Timing Information:
Calculates and displays the remaining time until the current higher timeframe candle closes
Formats the time remaining in a user-friendly way (days, hours, minutes)
Practical Applications
Context for Trading Decisions: See where price is in relation to higher timeframe support/resistance levels.
Entry and Exit Timing: Time your entries and exits based on higher timeframe candle closings.
Trend Alignment: Ensure your trades align with the higher timeframe trend direction.
Support/Resistance Identification: Easily identify key price levels from higher timeframes.
Candle Pattern Recognition: Spot important higher timeframe candlestick patterns without switching timeframes.
This indicator essentially brings the higher timeframe context directly to your current chart, allowing for more informed trading decisions that consider both short-term and long-term market structures simultaneously.
MILLION MEN - Peaks & Dips MeterWhat it is
The MILLION MEN — Peaks & Dips Meter is a dynamic momentum visualization tool designed to identify extreme strength and exhaustion zones. It uses two selectable engines:
RSI Meter (ZS Core) for classic strength analysis.
OB/OS Multi-Length (ZS Quick Core) for adaptive readings that reflect multi-period sentiment shifts.
How it works
The script computes normalized momentum values (0–100) from price dynamics, builds a smooth gradient representation, and displays it as a fixed right-bottom table. The meter color scales between fuchsia and green, with optional candle coloring and percentage labels.
It can also highlight overbought (peaks) and oversold (dips) moments directly on candles with adjustable ATR offsets and label styles.
How to use
Values near 90–100% → potential short-term exhaustion (watch for reversals).
Values near 0–10% → potential accumulation zones (possible bounces).
Use together with structure, volume, or trend filters for confirmation.
Originality
Unlike standard RSI tools, this script merges multi-length OB/OS detection with a real-time visual meter, optimized for scalpers and visual traders. It does not repaint and maintains a lightweight structure for fast responsiveness.
Limitations
This indicator is for analysis purposes only and should not be considered financial advice. Past readings do not guarantee future performance.
Premarket & Extended Hours High/LowSnippet to display extended hours (ETH) and premarket graph displays. Once activated, you will see next to the UTC time display at the lower right corner of the graph window a dropdown option of RTH. Click on it and you'll see ETH. RTH: Regular Trading Hours -- ETH: Extended Trading Hours.
EDGAR 1-Hour Overview (E1H)EDGAR 1-Hour Overview (E1H)
This indicator is designed for precision sniper entries by using 1-hour institutional reference levels to guide trades executed on the 1-minute timeframe.
It combines three core systems in one:
📊 1-Hour Base Overview — detects key institutional zones where price is likely to react or reject.
⚡ EMA Trend Filter (2 & 8) — confirms directional bias for intraday scalping and momentum trading.
🐋 Whale Detector — identifies sudden volatility spikes and large orders (institutional buying or selling) using adaptive standard-deviation filters.
With the E1H Overview, you no longer need to guess where the market will bounce or reverse — it highlights real-time zones where big players (whales) are entering positions, allowing you to synchronize your 1-minute sniper entries with institutional movement.
Monks - SessionsScript that shows the sessions of the market by coloring the candles of each market session as defined by the user. It also shows inside bars, a timer on the left of the screen, it shows if the previous high time frame candle has been gained (1D,1W or 1M). It also shows the days of the week as vertical lines
EDGAR 4-Hour Overview (E4H)EDGAR 4-Hour Overview (E4H) is a professional multi-timeframe indicator that shows both 4-hour bases and daily overview reference levels, giving traders a clear vision of where price is likely to bounce, reject, or continue.
The system automatically detects Support (S1–S3), Resistance (R1–R3), and the 4H Base (Main Overview Level), displayed directly on your chart with a clean dashboard that also includes a Daily Base reference for higher-timeframe confirmation.
Designed for gold and forex scalpers, swing traders, and institutional-style analysts, this indicator helps you:
Identify key reaction zones before they happen
Align 4H movement with daily direction
Instantly measure price distance from support or resistance
Trade confidently without guessing where price will reject or reverse
🔒 Invite-Only Script — exclusive access for verified EDGAR traders.
Refined Supertrend (Intraday/Swing) 🧠 What It Is:
A volatility-adjusted trend-following system built on ATR (Average True Range), that identifies bullish and bearish regimes and adapts its sensitivity based on volatility, momentum, and market session.
⚙️ How It Works:
Plots two dynamic “stop lines”:
🟢 UpTrend Line = base - (ATR × multiplier)
🔴 DownTrend Line = base + (ATR × multiplier)
When price crosses above/below these, it flips trend direction.
Uses filters:
ADX + Volume filter: confirms trend strength (>25 ADX + 1.5× volume average)
Momentum Exhaustion filter (ROC-based): prevents fake flips during weak momentum
MTF Bias: checks higher timeframe alignment (e.g. weekly for swing, hourly for scalp)
Session filter: hides irrelevant signals outside session (optional)
Volatility-adaptive multiplier makes the ATR band expand/shrink depending on real-time market volatility.
📈 How to Use It:
Buy when the Supertrend flips green or price closes above green line (trend = 1).
Sell/Short when it flips red or price closes below red line (trend = -1).
Use its ATR trail line as a dynamic stop or trailing stop target.
In scalp mode, small ATR length (7) makes it more responsive; swing mode uses longer smoothing for less noise.
Multi-Timeframe Projection Pro🧠 What It Is:
A predictive statistical projection tool that uses linear regression slope + correlation + ADX weighting to project likely future price direction and strength across multiple timeframes.
⚙️ How It Works:
Calculates the best-fit linear regression line on current timeframe (e.g., 1m–4h).
Computes slope to detect up/down momentum.
Calculates correlation × ADX = Confidence Strength.
|Correlation| = smoothness of price behavior.
ADX = trend intensity.
Projects the line forward by adaptive bars (15 for scalp / 35+ for swing).
It even scales projection distance based on volatility.
High confidence (>70%) → very likely directional continuation.
Low confidence (<40%) → sideways/choppy market.
📈 How to Use It:
Watch the projection line color:
🟢 Bright Green = strong bullish projection
🔴 Bright Red = strong bearish projection
Dashboard shows:
Mode (scalp/swing)
Confidence %
Correlation & ADX per TF
Higher TF assist value
Use it as confirmation — only take Supertrend signals in the same direction as MTP’s projection line slope.
"Top 20 Crypto Coins Table Screener + SuperTrend & EMA 9/21 CrosThis indicator is a powerful table screener for the top 20 crypto coins, updated for 2025 and designed for maximum clarity and speed. It displays customizable columns for Symbol, Price, SuperTrend ("Up"/"Down"), and EMA 9/21 crossover signals ("Buy"/"Sell") across multiple assets on a single chart.
Features:
Covers 20 major coins (edit the symbol list for preferences).
SuperTrend direction and coloring, for quick visual identification of trend.
EMA 9/21 crossover logic for rapid momentum buy/sell decisions.
Fast table rendering, minimal lag—even on basic hardware.
All logic, table columns, and alerts directly built into the script.
How To Use:
Paste the indicator code into Pine Editor and save it.
Activate for your preferred timeframes and coins.
View the table at the top right for actionable signals.
Easy to customize ticker symbols and table layout.
Remarks:
No RSI, ADX, or TSI for speed—focus is on high-impact trend/momentum signals.
Ideal for day traders, swing traders, and crypto investors monitoring broader markets.
For questions, improvements, or feedback, comment on the script page or connect via TradingView.
EDGAR Daily Overview (EDO)EDGAR Daily Overview (EDO) is a professional all-in-one market guide that helps traders identify where price is likely to move — no more guessing.
The indicator automatically detects key daily base, support (S1–S3), and resistance (R1–R3) levels, allowing you to instantly see potential bounce, rejection, or breakout zones.
Combined with advanced tools such as trendlines, Ichimoku Cloud, MACD, RSI, and Volume Strength, EDO gives you a full real-time picture of the market’s current direction.
Whether you trade intraday or short-term swings, this tool helps you understand where the market is heading today — empowering you to plan precise entries, take profits, and manage risk effectively.
🔒 Invite-Only Script – exclusive access for authorized users only.
RUFUS GOLD BOT - TP/SL/ExitRUFUS GOLD BOT – Buy, Sell, and Exit (80% Accuracy)
This powerful indicator provides clear Buy, Sell, and Exit signals based on proven price action patterns, offering traders a simple yet effective tool for decision-making. With an impressive 80% accuracy rate, it helps identify high-probability trade setups and manage exits for optimal profits.
Large Scale Activity Detector 🧠 What It Is:
An institutional footprint detector — it finds bars with unusually high volume and range relative to recent averages (using z-scores).
⚙️ How It Works:
Computes z-scores of volume and range relative to a moving 20-bar average and standard deviation.
Triggers when both z-scores > 2 (2σ = statistically significant spike).
Confirms trend bias with EMA(50):
If close > EMA → only detect bullish spikes.
If close < EMA → only detect bearish spikes.
Float sensitivity parameter lets you adjust for low-float vs. high-float stocks.
📈 How to Use It:
When yellow (large buy) bar prints → institutional buying surge.
When navy (large sell) bar prints → institutional selling surge.
If it aligns with Supertrend + Squeeze direction = strong follow-through probability.
Avoid taking trades against LSAD; it often reveals liquidity pushes or exhaustion points
Squeeze Momentum Pro (Upgraded)🧠 What It Is:
A volatility compression and momentum ignition indicator derived from the TTM Squeeze concept. It detects when volatility “compresses” (squeeze on) and then expands explosively (squeeze off → release).
⚙️ How It Works:
Uses Bollinger Bands and Keltner Channels:
When BBs are inside KCs → market is “squeezed” (low volatility).
When BBs expand outside KCs → release (high volatility breakout).
Momentum (via linear regression on price vs KC average) shows direction.
Adds acceleration to detect early impulse and a confidence score (correlation-based).
Colors:
🟩 Increasing bullish momentum
🟥 Increasing bearish momentum
⚫ Black → squeeze on
⚫ Gray/Blue → neutral or post-squeeze
Volume filter ensures only meaningful squeezes trigger.
📈 How to Use It:
During “Squeeze On”, prepare.
When squeeze turns off + momentum histogram turns green → Bullish Release.
If red → Bearish Release.
Strong confidence (table shows >70%) = genuine expansion.
Fractals & SweepThe Fractals & Sweep indicator is designed to identify key market structure points (fractals) and detect potential liquidity sweeps around those areas. It visually highlights both Bill Williams fractals and regular fractals, and alerts the user when the market sweeps liquidity above or below the most recent fractal levels.
Fractal Recognition:
Detects both bullish (low) and bearish (high) fractals on the price chart.
Users can choose between:
Bill Williams fractal logic (default), or
Regular fractal logic (when the “Filter Bill Williams Fractals” option is enabled).
Fractals are plotted directly on the chart as red downward triangles for highs and green upward triangles for lows.
Fractal Tracking:
The indicator stores the most recent high and low fractal levels to serve as reference points for potential sweep detection.
Sweep Detection:
A bearish sweep is triggered when the price wicks above the last fractal high but closes below it — suggesting a liquidity grab above resistance.
A bullish sweep is triggered when the price wicks below the last fractal low but closes above it — suggesting a liquidity grab below support.
When a sweep occurs, the indicator draws a horizontal line from the previous fractal point to the current bar.
Alert System:
Custom alerts notify the trader when a bearish sweep or bullish sweep occurs, allowing for timely reactions to potential reversals or liquidity traps.
OBR 15min Session Opening Range Breakout + Volume Trend DeltaMLGOBR 15min Session Opening Range Breakout + Volume Trend DeltaMLG
Candle Range (Pip Version)Candle Range (Pip Version)
Author: im_jeric
This indicator displays the range of each candle in pips, shown directly on the chart. It helps identify volatility and candle strength at a glance.
The pip calculation automatically adjusts for JPY and non-JPY pairs and shows values to one decimal place (for example, 24.9). You can change label size, colour, style, and placement to suit your chart layout.
Best used for analysing volatility and confirming market movement strength across sessions or timeframes.
MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary
📊 Overview
A professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk.
🎯 Key Features
Core Signal System
7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume
Signal Grading: Each signal is rated A+ through D based on 7 quality factors
Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D)
Advanced Safety Filters (Customizable)
Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands
ATR Spike Filter - Avoids trading during extreme volatility events
EMA Spacing Filter - Ensures proper trend separation (optional)
Momentum Filter - Requires consecutive directional bars (optional)
Multi-Timeframe Confirmation - Aligns with 15-min trend (optional)
TopStep Risk Management
Real-time drawdown tracking
Position sizing calculator based on remaining cushion
Daily loss limit monitoring
Consecutive loss protection
Max trades per day limiter
Visual Components
VWAP with 1σ, 2σ, 3σ bands
EMA 9/21 with cloud fill
15-min EMA 50 for HTF trend
Comprehensive metrics dashboard
Risk management panel
Filter status panel
Detailed trade labels with entry, stops, and targets
⚙️ Default Settings (Balanced for Regular Signals)
Technical Indicators
Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min)
MACD: 10/22/9
RSI: 14 period | Thresholds: 52 (buy) / 48 (sell)
ADX: 14 period | Minimum: 20
ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x
Volume: 1.2x average required
Session Settings
Default: 9:30 AM - 11:30 AM ET (adjustable)
Avoids first 15 minutes after market open
Customizable trading hours
Safety Filters (Default Configuration)
✅ Mean Reversion: Enabled (2.5σ max from VWAP)
✅ ATR Spike: Enabled (2.0x threshold)
❌ EMA Spacing: Disabled (can enable for quality)
❌ Momentum: Disabled (can enable for quality)
❌ MTF Confirmation: Disabled (can enable for quality)
Risk Controls
Minimum Signal Quality: C (adjustable to A+ for fewer/better signals)
Min Bars Between Signals: 10
Max Trades Per Day: 5
Stop After Consecutive Losses: 2
📈 Expected Performance
With Default Settings:
Signals per week: 10-15 trades
Estimated win rate: 55-60%
Risk-Reward: 1:2 (TP1) and 1:3 (TP2)
With Aggressive Settings (Min Quality = D, All Filters Off):
Signals per week: 20-25 trades
Estimated win rate: 50-55%
With Conservative Settings (Min Quality = A, All Filters On):
Signals per week: 3-5 trades
Estimated win rate: 65-70%
🚀 How to Use
Basic Setup:
Add indicator to MNQ 5-minute chart
Adjust TopStep account settings in inputs
Set your risk per trade percentage (default: 0.5%)
Configure trading session hours
Set minimum signal quality (Start with C for balanced results)
Signal Interpretation:
Green Triangle (BUY): Long signal - all confirmations aligned
Red Triangle (SELL): Short signal - all confirmations aligned
Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade
Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3)
Dashboard Monitoring:
Top Right: Technical metrics and market conditions
Top Left: Filter status (which filters are passing/blocking)
Bottom Right: TopStep risk metrics and position sizing
⚡ Customization Tips
For More Signals:
Lower "Minimum Signal Quality" to D
Decrease ADX threshold to 18-20
Lower RSI thresholds to 50/50
Reduce Volume multiplier to 1.1x
Disable additional filters
For Higher Quality (Fewer Signals):
Raise "Minimum Signal Quality" to A or A+
Increase ADX threshold to 25-30
Enable all 5 advanced filters
Tighten VWAP distance to 2.0σ
Increase momentum requirement to 3-4 bars
For TopStep Compliance:
Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account
Update "Already Used Drawdown" daily
Monitor the Risk Panel for cushion remaining
Use recommended contract sizing
🛡️ Risk Disclaimer
IMPORTANT: This indicator is for educational and informational purposes only.
Past performance does not guarantee future results
All trading involves substantial risk of loss
Use proper risk management and position sizing
Test thoroughly in paper trading before live use
The indicator does not guarantee profitable trades
Adjust settings based on your risk tolerance and trading style
Always comply with your broker's and TopStep's rules
MNQ TopStep 50K | Ultra Quality v3.0MNQ TopStep 50K | Ultra Quality v3.0 - Publish Summary📊 OverviewA professional-grade trading indicator designed specifically for MNQ futures traders using TopStep funded accounts. Combines 7 technical confirmations with 5 advanced safety filters to deliver high-quality trade signals while managing drawdown risk.🎯 Key FeaturesCore Signal System
7-Point Confirmation: VWAP, EMA crossovers, 15-min HTF trend, MACD, RSI, ADX, and Volume
Signal Grading: Each signal is rated A+ through D based on 7 quality factors
Quality Threshold: Adjustable minimum grade requirement (A+, A, B, C, D)
Advanced Safety Filters (Customizable)
Mean Reversion Filter - Prevents chasing extended moves beyond VWAP bands
ATR Spike Filter - Avoids trading during extreme volatility events
EMA Spacing Filter - Ensures proper trend separation (optional)
Momentum Filter - Requires consecutive directional bars (optional)
Multi-Timeframe Confirmation - Aligns with 15-min trend (optional)
TopStep Risk Management
Real-time drawdown tracking
Position sizing calculator based on remaining cushion
Daily loss limit monitoring
Consecutive loss protection
Max trades per day limiter
Visual Components
VWAP with 1σ, 2σ, 3σ bands
EMA 9/21 with cloud fill
15-min EMA 50 for HTF trend
Comprehensive metrics dashboard
Risk management panel
Filter status panel
Detailed trade labels with entry, stops, and targets
⚙️ Default Settings (Balanced for Regular Signals)Technical Indicators
Fast EMA: 9 | Slow EMA: 21 | HTF EMA: 50 (15-min)
MACD: 10/22/9
RSI: 14 period | Thresholds: 52 (buy) / 48 (sell)
ADX: 14 period | Minimum: 20
ATR: 14 period | Stop: 2x | TP1: 2x | TP2: 3x
Volume: 1.2x average required
Session Settings
Default: 9:30 AM - 11:30 AM ET (adjustable)
Avoids first 15 minutes after market open
Customizable trading hours
Safety Filters (Default Configuration)
✅ Mean Reversion: Enabled (2.5σ max from VWAP)
✅ ATR Spike: Enabled (2.0x threshold)
❌ EMA Spacing: Disabled (can enable for quality)
❌ Momentum: Disabled (can enable for quality)
❌ MTF Confirmation: Disabled (can enable for quality)
Risk Controls
Minimum Signal Quality: C (adjustable to A+ for fewer/better signals)
Min Bars Between Signals: 10
Max Trades Per Day: 5
Stop After Consecutive Losses: 2
📈 Expected PerformanceWith Default Settings:
Signals per week: 10-15 trades
Estimated win rate: 55-60%
Risk-Reward: 1:2 (TP1) and 1:3 (TP2)
With Aggressive Settings (Min Quality = D, All Filters Off):
Signals per week: 20-25 trades
Estimated win rate: 50-55%
With Conservative Settings (Min Quality = A, All Filters On):
Signals per week: 3-5 trades
Estimated win rate: 65-70%
🚀 How to UseBasic Setup:
Add indicator to MNQ 5-minute chart
Adjust TopStep account settings in inputs
Set your risk per trade percentage (default: 0.5%)
Configure trading session hours
Set minimum signal quality (Start with C for balanced results)
Signal Interpretation:
Green Triangle (BUY): Long signal - all confirmations aligned
Red Triangle (SELL): Short signal - all confirmations aligned
Label Details: Shows entry, stop loss, take profit levels, position size, and signal grade
Signal Grade: A+ = Elite (6-7 points) | A = Strong (5) | B = Good (4) | C = Fair (3)
Dashboard Monitoring:
Top Right: Technical metrics and market conditions
Top Left: Filter status (which filters are passing/blocking)
Bottom Right: TopStep risk metrics and position sizing
⚡ Customization TipsFor More Signals:
Lower "Minimum Signal Quality" to D
Decrease ADX threshold to 18-20
Lower RSI thresholds to 50/50
Reduce Volume multiplier to 1.1x
Disable additional filters
For Higher Quality (Fewer Signals):
Raise "Minimum Signal Quality" to A or A+
Increase ADX threshold to 25-30
Enable all 5 advanced filters
Tighten VWAP distance to 2.0σ
Increase momentum requirement to 3-4 bars
For TopStep Compliance:
Adjust "Max Total Drawdown" and "Daily Loss Limit" to match your account
Update "Already Used Drawdown" daily
Monitor the Risk Panel for cushion remaining
Use recommended contract sizing
🛡️ Risk DisclaimerIMPORTANT: This indicator is for educational and informational purposes only.
Past performance does not guarantee future results
All trading involves substantial risk of loss
Use proper risk management and position sizing
Test thoroughly in paper trading before live use
The indicator does not guarantee profitable trades
Adjust settings based on your risk tolerance and trading style
Always comply with your broker's and TopStep's rules
HH/HL/LH/LL Detector- **Higher Highs (HH)** - price makes a new high above the previous high
- **Higher Lows (HL)** - price makes a new low above the previous low
- **Lower Highs (LH)** - price makes a new high below the previous high
- **Lower Lows (LL)** - price makes a new low below the previous low
**Important clarification**: This indicator will accurately *identify* these patterns based on pivot points, but it cannot predict future price movements with 100% accuracy. No indicator can guarantee trading success because markets are unpredictable. What I can provide is:
✅ **Accurate pattern detection** - correctly identifies HH, HL, LH, LL based on confirmed pivot points
✅ **Clear visual labels** on your chart
✅ **Customizable settings** for sensitivity
The indicator will mark these patterns after they form (using pivot confirmation), which is the standard approach for reliable pattern detection.
include:
- Visual labels (HH, HL, LH, LL) on the chart
- Lines connecting the pivot points
- Customizable lookback period for pivot detection
- Color coding for bullish (HH/HL) vs bearish (LH/LL) patterns
- Optional alerts when new patterns form
Stochastic Enhanced [DCAUT]█ Stochastic Enhanced
📊 ORIGINALITY & INNOVATION
The Stochastic Enhanced indicator builds upon George Lane's classic momentum oscillator (developed in the late 1950s) by providing comprehensive smoothing algorithm flexibility. While traditional implementations limit users to Simple Moving Average (SMA) smoothing, this enhanced version offers 21 advanced smoothing algorithms, allowing traders to optimize the indicator's characteristics for different market conditions and trading styles.
Key Improvements:
Extended from single SMA smoothing to 21 professional-grade algorithms including adaptive filters (KAMA, FRAMA), zero-lag methods (ZLEMA, T3), and advanced digital filters (Kalman, Laguerre)
Maintains backward compatibility with traditional Stochastic calculations through SMA default setting
Unified smoothing algorithm applies to both %K and %D lines for consistent signal processing characteristics
Enhanced visual feedback with clear color distinction and background fill highlighting for intuitive signal recognition
Comprehensive alert system covering crossovers and zone entries for systematic trade management
Differentiation from Traditional Stochastic:
Traditional Stochastic indicators use fixed SMA smoothing, which introduces consistent lag regardless of market volatility. This enhanced version addresses the limitation by offering adaptive algorithms that adjust to market conditions (KAMA, FRAMA), reduce lag without sacrificing smoothness (ZLEMA, T3, HMA), or provide superior noise filtering (Kalman Filter, Laguerre filters). The flexibility helps traders balance responsiveness and stability according to their specific needs.
📐 MATHEMATICAL FOUNDATION
Core Stochastic Calculation:
The Stochastic Oscillator measures the position of the current close relative to the high-low range over a specified period:
Step 1: Raw %K Calculation
%K_raw = 100 × (Close - Lowest Low) / (Highest High - Lowest Low)
Where:
Close = Current closing price
Lowest Low = Lowest low over the %K Length period
Highest High = Highest high over the %K Length period
Result ranges from 0 (close at period low) to 100 (close at period high)
Step 2: Smoothed %K Calculation
%K = MA(%K_raw, K Smoothing Period, MA Type)
Where:
MA = Selected moving average algorithm (SMA, EMA, etc.)
K Smoothing = 1 for Fast Stochastic, 3+ for Slow Stochastic
Traditional Fast Stochastic uses %K_raw directly without smoothing
Step 3: Signal Line %D Calculation
%D = MA(%K, D Smoothing Period, MA Type)
Where:
%D acts as a signal line and moving average of %K
D Smoothing typically set to 3 periods in traditional implementations
Both %K and %D use the same MA algorithm for consistent behavior
Available Smoothing Algorithms (21 Options):
Standard Moving Averages:
SMA (Simple): Equal-weighted average, traditional default, consistent lag characteristics
EMA (Exponential): Recent price emphasis, faster response to changes, exponential decay weighting
RMA (Rolling/Wilder's): Smoothed average used in RSI, less reactive than EMA
WMA (Weighted): Linear weighting favoring recent data, moderate responsiveness
VWMA (Volume-Weighted): Incorporates volume data, reflects market participation intensity
Advanced Moving Averages:
HMA (Hull): Reduced lag with smoothness, uses weighted moving averages and square root period
ALMA (Arnaud Legoux): Gaussian distribution weighting, minimal lag with good noise reduction
LSMA (Least Squares): Linear regression based, fits trend line to data points
DEMA (Double Exponential): Reduced lag compared to EMA, uses double smoothing technique
TEMA (Triple Exponential): Further lag reduction, triple smoothing with lag compensation
ZLEMA (Zero-Lag Exponential): Lag elimination attempt using error correction, very responsive
TMA (Triangular): Double-smoothed SMA, very smooth but slower response
Adaptive & Intelligent Filters:
T3 (Tilson T3): Six-pass exponential smoothing with volume factor adjustment, excellent smoothness
FRAMA (Fractal Adaptive): Adapts to market fractal dimension, faster in trends, slower in ranges
KAMA (Kaufman Adaptive): Efficiency ratio based adaptation, responds to volatility changes
McGinley Dynamic: Self-adjusting mechanism following price more accurately, reduced whipsaws
Kalman Filter: Optimal estimation algorithm from aerospace engineering, dynamic noise filtering
Advanced Digital Filters:
Ultimate Smoother: Advanced digital filter design, superior noise rejection with minimal lag
Laguerre Filter: Time-domain filter with N-order implementation, adjustable lag characteristics
Laguerre Binomial Filter: 6-pole Laguerre filter, extremely smooth output for long-term analysis
Super Smoother: Butterworth filter implementation, removes high-frequency noise effectively
📊 COMPREHENSIVE SIGNAL ANALYSIS
Absolute Level Interpretation (%K Line):
%K Above 80: Overbought condition, price near period high, potential reversal or pullback zone, caution for new long entries
%K in 70-80 Range: Strong upward momentum, bullish trend confirmation, uptrend likely continuing
%K in 50-70 Range: Moderate bullish momentum, neutral to positive outlook, consolidation or mild uptrend
%K in 30-50 Range: Moderate bearish momentum, neutral to negative outlook, consolidation or mild downtrend
%K in 20-30 Range: Strong downward momentum, bearish trend confirmation, downtrend likely continuing
%K Below 20: Oversold condition, price near period low, potential bounce or reversal zone, caution for new short entries
Crossover Signal Analysis:
%K Crosses Above %D (Bullish Cross): Momentum shifting bullish, faster line overtakes slower signal, consider long entry especially in oversold zone, strongest when occurring below 20 level
%K Crosses Below %D (Bearish Cross): Momentum shifting bearish, faster line falls below slower signal, consider short entry especially in overbought zone, strongest when occurring above 80 level
Crossover in Midrange (40-60): Less reliable signals, often in choppy sideways markets, require additional confirmation from trend or volume analysis
Multiple Failed Crosses: Indicates ranging market or choppy conditions, reduce position sizes or avoid trading until clear directional move
Advanced Divergence Patterns (%K Line vs Price):
Bullish Divergence: Price makes lower low while %K makes higher low, indicates weakening bearish momentum, potential trend reversal upward, more reliable when %K in oversold zone
Bearish Divergence: Price makes higher high while %K makes lower high, indicates weakening bullish momentum, potential trend reversal downward, more reliable when %K in overbought zone
Hidden Bullish Divergence: Price makes higher low while %K makes lower low, indicates trend continuation in uptrend, bullish trend strength confirmation
Hidden Bearish Divergence: Price makes lower high while %K makes higher high, indicates trend continuation in downtrend, bearish trend strength confirmation
Momentum Strength Analysis (%K Line Slope):
Steep %K Slope: Rapid momentum change, strong directional conviction, potential for extended moves but also increased reversal risk
Gradual %K Slope: Steady momentum development, sustainable trends more likely, lower probability of sharp reversals
Flat or Horizontal %K: Momentum stalling, potential reversal or consolidation ahead, wait for directional break before committing
%K Oscillation Within Range: Indicates ranging market, sideways price action, better suited for range-trading strategies than trend following
🎯 STRATEGIC APPLICATIONS
Mean Reversion Strategy (Range-Bound Markets):
Identify ranging market conditions using price action or Bollinger Bands
Wait for Stochastic to reach extreme zones (above 80 for overbought, below 20 for oversold)
Enter counter-trend position when %K crosses %D in extreme zone (sell on bearish cross above 80, buy on bullish cross below 20)
Set profit targets near opposite extreme or midline (50 level)
Use tight stop-loss above recent swing high/low to protect against breakout scenarios
Exit when Stochastic reaches opposite extreme or %K crosses %D in opposite direction
Trend Following with Momentum Confirmation:
Identify primary trend direction using higher timeframe analysis or moving averages
Wait for Stochastic pullback to oversold zone (<20) in uptrend or overbought zone (>80) in downtrend
Enter in trend direction when %K crosses %D confirming momentum shift (bullish cross in uptrend, bearish cross in downtrend)
Use wider stops to accommodate normal trend volatility
Add to position on subsequent pullbacks showing similar Stochastic pattern
Exit when Stochastic shows opposite extreme with failed cross or bearish/bullish divergence
Divergence-Based Reversal Strategy:
Scan for divergence between price and Stochastic at swing highs/lows
Confirm divergence with at least two price pivots showing divergent Stochastic readings
Wait for %K to cross %D in direction of anticipated reversal as entry trigger
Enter position in divergence direction with stop beyond recent swing extreme
Target profit at key support/resistance levels or Fibonacci retracements
Scale out as Stochastic reaches opposite extreme zone
Multi-Timeframe Momentum Alignment:
Analyze Stochastic on higher timeframe (4H or Daily) for primary trend bias
Switch to lower timeframe (1H or 15M) for precise entry timing
Only take trades where lower timeframe Stochastic signal aligns with higher timeframe momentum direction
Higher timeframe Stochastic in bullish zone (>50) = only take long entries on lower timeframe
Higher timeframe Stochastic in bearish zone (<50) = only take short entries on lower timeframe
Exit when lower timeframe shows counter-signal or higher timeframe momentum reverses
Zone Transition Strategy:
Monitor Stochastic for transitions between zones (oversold to neutral, neutral to overbought, etc.)
Enter long when Stochastic crosses above 20 (exiting oversold), signaling momentum shift from bearish to neutral/bullish
Enter short when Stochastic crosses below 80 (exiting overbought), signaling momentum shift from bullish to neutral/bearish
Use zone midpoint (50) as dynamic support/resistance for position management
Trail stops as Stochastic advances through favorable zones
Exit when Stochastic fails to maintain momentum and reverses back into prior zone
📋 DETAILED PARAMETER CONFIGURATION
%K Length (Default: 14):
Lower Values (5-9): Highly sensitive to price changes, generates more frequent signals, increased false signals in choppy markets, suitable for very short-term trading and scalping
Standard Values (10-14): Balanced sensitivity and reliability, traditional default (14) widely used,适合 swing trading and intraday strategies
Higher Values (15-21): Reduced sensitivity, smoother oscillations, fewer but potentially more reliable signals, better for position trading and lower timeframe noise reduction
Very High Values (21+): Slow response, long-term momentum measurement, fewer trading signals, suitable for weekly or monthly analysis
%K Smoothing (Default: 3):
Value 1: Fast Stochastic, uses raw %K calculation without additional smoothing, most responsive to price changes, generates earliest signals with higher noise
Value 3: Slow Stochastic (default), traditional smoothing level, reduces false signals while maintaining good responsiveness, widely accepted standard
Values 5-7: Very slow response, extremely smooth oscillations, significantly reduced whipsaws but delayed entry/exit timing
Recommendation: Default value 3 suits most trading scenarios, active short-term traders may use 1, conservative long-term positions use 5+
%D Smoothing (Default: 3):
Lower Values (1-2): Signal line closely follows %K, frequent crossover signals, useful for active trading but requires strict filtering
Standard Value (3): Traditional setting providing balanced signal line behavior, optimal for most trading applications
Higher Values (4-7): Smoother signal line, fewer crossover signals, reduced whipsaws but slower confirmation, better for trend trading
Very High Values (8+): Signal line becomes slow-moving reference, crossovers rare and highly significant, suitable for long-term position changes only
Smoothing Type Algorithm Selection:
For Trending Markets:
ZLEMA, DEMA, TEMA: Reduced lag for faster trend entry, quick response to momentum shifts, suitable for strong directional moves
HMA, ALMA: Good balance of smoothness and responsiveness, effective for clean trend following without excessive noise
EMA: Classic choice for trending markets, faster than SMA while maintaining reasonable stability
For Ranging/Choppy Markets:
Kalman Filter, Super Smoother: Superior noise filtering, reduces false signals in sideways action, helps identify genuine reversal points
Laguerre Filters: Smooth oscillations with adjustable lag, excellent for mean reversion strategies in ranges
T3, TMA: Very smooth output, filters out market noise effectively, clearer extreme zone identification
For Adaptive Market Conditions:
KAMA: Automatically adjusts to market efficiency, fast in trends and slow in congestion, reduces whipsaws during transitions
FRAMA: Adapts to fractal market structure, responsive during directional moves, conservative during uncertainty
McGinley Dynamic: Self-adjusting smoothing, follows price naturally, minimizes lag in trending markets while filtering noise in ranges
For Conservative Long-Term Analysis:
SMA: Traditional choice, predictable behavior, widely understood characteristics
RMA (Wilder's): Smooth oscillations, reduced sensitivity to outliers, consistent behavior across market conditions
Laguerre Binomial Filter: Extremely smooth output, ideal for weekly/monthly timeframe analysis, eliminates short-term noise completely
Source Selection:
Close (Default): Standard choice using closing prices, most common and widely tested
HLC3 or OHLC4: Incorporates more price information, reduces impact of sudden spikes or gaps, smoother oscillator behavior
HL2: Midpoint of high-low range, emphasizes intrabar volatility, useful for markets with wide intraday ranges
Custom Source: Can use other indicators as input (e.g., Heikin Ashi close, smoothed price), creates derivative momentum indicators
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Responsiveness Characteristics:
Traditional SMA-Based Stochastic:
Fixed lag regardless of market conditions, consistent delay of approximately (K Smoothing + D Smoothing) / 2 periods
Equal treatment of trending and ranging markets, no adaptation to volatility changes
Predictable behavior but suboptimal in varying market regimes
Enhanced Version with Adaptive Algorithms:
KAMA and FRAMA reduce lag by up to 40-60% in strong trends compared to SMA while maintaining similar smoothness in ranges
ZLEMA and T3 provide near-zero lag characteristics for early entry signals with acceptable noise levels
Kalman Filter and Super Smoother offer superior noise rejection, reducing false signals in choppy conditions by estimations of 30-50% compared to SMA
Performance improvements vary by algorithm selection and market conditions
Signal Quality Improvements:
Adaptive algorithms help reduce whipsaw trades in ranging markets by adjusting sensitivity dynamically
Advanced filters (Kalman, Laguerre, Super Smoother) provide clearer extreme zone readings for mean reversion strategies
Zero-lag methods (ZLEMA, DEMA, TEMA) generate earlier crossover signals in trending markets for improved entry timing
Smoother algorithms (T3, Laguerre Binomial) reduce false extreme zone touches for more reliable overbought/oversold signals
Comparison with Standard Implementations:
Versus Basic Stochastic: Enhanced version offers 21 smoothing options versus single SMA, allowing optimization for specific market characteristics and trading styles
Versus RSI: Stochastic provides range-bound measurement (0-100) with clear extreme zones, RSI measures momentum speed, Stochastic offers clearer visual overbought/oversold identification
Versus MACD: Stochastic bounded oscillator suitable for mean reversion, MACD unbounded indicator better for trend strength, Stochastic excels in range-bound and oscillating markets
Versus CCI: Stochastic has fixed bounds (0-100) for consistent interpretation, CCI unbounded with variable extremes, Stochastic provides more standardized extreme readings across different instruments
Flexibility Advantages:
Single indicator adaptable to multiple strategies through algorithm selection rather than requiring different indicator variants
Ability to optimize smoothing characteristics for specific instruments (e.g., smoother for crypto volatility, faster for forex trends)
Multi-timeframe analysis with consistent algorithm across timeframes for coherent momentum picture
Backtesting capability with algorithm as optimization parameter for strategy development
Limitations and Considerations:
Increased complexity from multiple algorithm choices may lead to over-optimization if parameters are curve-fitted to historical data
Adaptive algorithms (KAMA, FRAMA) have adjustment periods during market regime changes where signals may be less reliable
Zero-lag algorithms sacrifice some smoothness for responsiveness, potentially increasing noise sensitivity in very choppy conditions
Performance characteristics vary significantly across algorithms, requiring understanding and testing before live implementation
Like all oscillators, Stochastic can remain in extreme zones for extended periods during strong trends, generating premature reversal signals
USAGE NOTES
This indicator is designed for technical analysis and educational purposes to provide traders with enhanced flexibility in momentum analysis. The Stochastic Oscillator has limitations and should not be used as the sole basis for trading decisions.
Important Considerations:
Algorithm performance varies with market conditions - no single smoothing method is optimal for all scenarios
Extreme zone signals (overbought/oversold) indicate potential reversal areas but not guaranteed turning points, especially in strong trends
Crossover signals may generate false entries during sideways choppy markets regardless of smoothing algorithm
Divergence patterns require confirmation from price action or additional indicators before trading
Past indicator characteristics and backtested results do not guarantee future performance
Always combine Stochastic analysis with proper risk management, position sizing, and multi-indicator confirmation
Test selected algorithm on historical data of specific instrument and timeframe before live trading
Market regime changes may require algorithm adjustment for optimal performance
The enhanced smoothing options are intended to provide tools for optimizing the indicator's behavior to match individual trading styles and market characteristics, not to create a perfect predictive tool. Responsible usage includes understanding the mathematical properties of selected algorithms and their appropriate application contexts.
DK FractalsThis is the beginning of the DK Fractal strategy build for futures.
Currently it doesn't have any of the automation as I'm just building the basic framework that the strategy will be built from.
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