[algsc][14STOCH][MTF][Price+CVD]**algsc 14-STOCH Confluence Engine**
A powerful multi-timeframe momentum confluence indicator that combines two independent, high-resolution stochastic systems:
- One based on price action (filtered through adaptive Renko logic)
- One based on real Cumulative Volume Delta (CVD) order flow
Across 14 timeframes (1S to 8min including 45s), the indicator continuously monitors alignment strength and displays a clean, dual-score label:
- **Green label below bar** → Bullish confluence (Price / CVD scores)
- **Red label above bar** → Bearish confluence
Large green/red arrows appear only when **both systems agree** with significant momentum (configurable threshold), giving you high-probability, low-noise entries backed by both price and volume.
Designed for scalping, day trading, and swing setups — works on any instrument and any chart timeframe.
**Minimalist. Institutional-grade. No repainting.**
Perfect for traders who want to see when price momentum and order flow are truly in sync — without clutter or false signals.
Enjoy the edge.
— algsc
オシレーター
Order Flow AnalysisOrder Flow Pressure Suite — Wick, Volume & Absorption-Based Pressure Map
This indicator builds a composite buying/selling pressure score from candle structure, volume behavior, and absorption signals.
It is designed to infer the “intent” behind price moves by looking at how candles form, where they close, and how volume behaves — even without access to true bid/ask or footprint data.
Core Concepts
Wick-to-Body Analysis
The script evaluates the ratio of upper and lower wicks to the total candle range.
Strong wicks with relatively small bodies are treated as rejections :
Long upper wick → potential selling pressure / rejection of higher prices
Long lower wick → potential buying pressure / rejection of lower prices
Close Position Analysis
The close is normalized within the candle range:
Close near the high → bullish pressure
Close near the low → bearish pressure
Close near the middle → more neutral , context taken from wicks and volume
Volume Delta Estimation
Since true bid/ask data is not available on standard charts, the script estimates “volume delta” by distributing total volume between buyers and sellers based on candle characteristics:
Bull candles receive more “buying volume,” weighted toward closes near the high
Bear candles receive more “selling volume,” weighted toward closes near the low
This is an approximation of order flow, not a direct time & sales feed.
Absorption Detection
The script looks for candles where volume is high but price movement is relatively small .
This combination often suggests:
Bullish absorption → buyers absorbing aggressive selling (potential accumulation)
Bearish absorption → sellers absorbing aggressive buying (potential distribution)
Absorption zones are tracked over a configurable lookback and can be shaded in the background.
Composite Pressure Oscillator
All the above components (wicks, close position, heuristic volume delta, absorption bias) are blended into a single pressure score :
Values > 0 → net buying pressure
Values < 0 → net selling pressure
The raw score is smoothed with an EMA to reduce noise and create a cleaner oscillator line.
Divergence Detection
The indicator compares price pivots to pressure pivots:
Bullish divergence : price makes a lower low while pressure makes a higher low
Bearish divergence : price makes a higher high while pressure makes a lower high
These conditions can help highlight potential exhaustion or hidden participation from larger players.
Visual Elements
Histogram showing the intensity of buying/selling pressure
Color-coding for increasing vs. decreasing pressure
Background shading for detected absorption zones
Status table summarizing current pressure, trend bias, volume delta, wick signal, and absorption state in real time
How To Use
Use the pressure oscillator to gauge whether the current bar sequence is dominated by buyers or sellers. Strong positive readings may indicate sustained buying pressure; strong negatives may indicate sustained selling pressure.
Watch for divergences between price and the pressure oscillator around key levels, swings, or zones you already care about.
Use absorption zones and wick rejection signals as additional context around support/resistance, breakouts, or failed moves.
Treat all signals as context and confluence , not as stand-alone trade entries or exits. This tool is best used alongside your existing price action, volume, and risk management framework.
Important Notes & Limitations
This script does not access real bid/ask, footprint, or order book data . All volume delta and absorption interpretations are heuristic estimates derived from OHLCV candles.
Signals are probabilistic , not guarantees. They can be early, late, or outright wrong in fast or low-liquidity markets.
Always validate signals with your own analysis, timeframe alignment, and risk management. This indicator is intended as an analytical tool , not financial advice.
Stochastic Average (2 TFs)“Stoch (2 TFs)” plots two separate Stochastic oscillators from two different timeframes in a single pane and adds an average line of all four values (%K and %D from each timeframe). It is designed to quickly compare short-term vs higher-timeframe momentum and see whether they are aligned or diverging.
The script is an overlay-off oscillator, so it appears in its own window under the price chart.
How it works
The indicator calculates a classic Stochastic (%K and %D) on two user-selectable timeframes:
tf1 (default 30 minutes)
tf2 (default 60 minutes)
For each timeframe it:
Requests the high, low and close series from that timeframe using request.security.
Computes %K as the smoothed position of the close within the lookback high/low range.
Computes %D as a moving average of %K.
So you get four lines in total:
K1 and D1 from timeframe 1
K2 and D2 from timeframe 2
A small table in the top-right of the pane shows which timeframes are currently selected for TF1 and TF2, so you always know what you are looking at even if you change the chart timeframe.
Inputs
%K Length – lookback period used to find highest high and lowest low.
%K Smoothing – smoothing length for the %K line.
%D Smoothing – smoothing length for the %D line.
30 (tf1) – first Stochastic timeframe (default 30m).
%K Color (1) / %D Color (1) – colors for K1 and D1.
60 (tf2) – second Stochastic timeframe (default 60m).
%K Color (2) / %D Color (2) – colors for K2 and D2.
Average Color – color for the current bar average line.
Average Prev Color – color for the previous-bar average line.
You can put this indicator on any chart timeframe; the internals always use the two selected timeframes via request.security.
Visual elements
The pane shows:
Four Stochastic lines:
K1 and D1 (for tf1), K2 and D2 (for tf2), using the input colors.
Three horizontal reference levels:
80 (upper band), 50 (middle), 20 (lower band).
A light blue background band between 80 and 20 to make the overbought/oversold zone easier to see visually.
A 2-cell table in the top-right with the current values of tf1 and tf2.
These elements make it easy to see when each timeframe is overbought, oversold, or in the middle zone, and whether the two timeframes are synchronized or showing divergence.
Average and previous-average lines
At the bottom of the script there is a simple composite measure:
Sum KD adds K1 + D1 + K2 + D2 and divides by 4.
Prev Sum KD does the same for the previous bar ( ).
Both are plotted as separate lines:
Sum KD – current bar average of all four Stochastic values (main composite).
Prev Sum KD – previous bar average (for comparison).
This makes it easy to see whether overall multi-timeframe Stochastic momentum is increasing or decreasing from bar to bar without having to visually average four separate curves.
How to use
Typical uses:
See short- vs higher-timeframe Stochastic at a glance and trade only when they agree.
Look for divergence between TF1 and TF2 (e.g., lower timeframe overbought while higher timeframe still neutral).
Use the average lines (Sum KD and Prev Sum KD) as a simple “multi-TF momentum gauge” for confirmations or filters.
SMI 30m With Built-in Divergence AlertsStochastic Momentum Index SMI 30m is a simplified, single-timeframe Stochastic Momentum Index (SMI) designed for traders who want a clean momentum oscillator with clear crossover signals and automatic higher-timeframe filtering.
This version is locked to a 30-minute timeframe, making it consistent across any chart you place it on.
The script plots:
SMI Blue Line – the main momentum line
SMI Orange Line – the signal line (EMA-smoothed)
Overbought / Oversold regions
Optional colored background zones that highlight strong momentum extremes
Both the Blue and Orange plots are fully exposed, allowing users to manually create TradingView alerts for crossovers.
Additionally, the script includes two built-in alert conditions for traders who prefer automatic signals.
How the SMI is calculated
This script uses a double-EMA smoothing method to stabilize momentum:
Highest and lowest price ranges are calculated over the selected %K period.
Relative position of price inside that range is computed.
A double EMA is applied to both the range and the midpoint offset.
The SMI result is scaled to ±200 for clarity.
The Signal Line is a single-EMA applied to the SMI.
These parameters can be adjusted:
%K Length
%D Length
EMA Length
The default values match traditional 13-3-3 SMI settings.
Visual Components
1. SMI Blue Line
Represents the primary momentum movement.
Values above 40 indicate positive momentum; values below −40 indicate negative momentum.
2. SMI Orange Line
Acts as a smoothing signal line.
Crossovers between Blue and Orange often indicate momentum shifts.
3. Overbought / Oversold Zones
+40 = overbought boundary
−40 = oversold boundary
These levels help identify exhaustion points.
4. Gradient High/Low Zones
The script includes colored fill zones above +40 and below −40 to visually highlight extreme momentum regions.
Built-In Alerts
The indicator includes two pre-configured alert conditions:
1. Bearish Cross (Overbought)
Triggers when:
The Blue SMI crosses below the Orange SMI
AND the Blue SMI value is above 80
This represents a potential bearish divergence or momentum reversal from extreme highs.
Alert title:
SMI Bearish Cross
2. Bullish Cross (Oversold)
Triggers when:
The Blue SMI crosses above the Orange SMI
AND the Blue SMI value is below −80
This represents a potential bullish divergence or reversal from extreme lows.
Alert title:
SMI Bullish Cross
How to Use Alerts
After adding the indicator to your chart:
Open the Alerts panel
Select Condition → SMI (1 TF) 30m
Choose either:
SMI Bearish Cross
SMI Bullish Cross
Set your preferred trigger method:
Once per bar close
Once per bar
Once per minute
Create the alert
Traders can also manually create alerts for:
Blue crossing above Orange
Blue crossing below Orange
Because both plots are fully exposed.
Purpose
This indicator is intended for traders who want a stable, single-timeframe SMI with:
Clear structure
Extreme-zone highlighting
Exposed plots for custom alerts
Built-in reversal alerts
Consistent 30-minute TF regardless of chart
It can be used for:
Identifying trend reversals
Detecting momentum exhaustion
Confirming entries/exits
Spotting early divergence signals
Abacus Community Williams %R + Bollinger %B📌 Indicator Description (Professional & Clear)
Williams %R + Bollinger %B Momentum Indicator (ThinkOrSwim Style)
This custom indicator combines Williams %R and Bollinger %B into a single, unified panel to provide a powerful momentum-and-positioning view of price action. Modeled after the ThinkOrSwim version used by professional traders, it displays:
✅ Williams %R (10-period) – Yellow Line
This oscillator measures the market's position relative to recent highs and lows.
It plots on a 0% to 100% scale, where:
80–100% → Overbought region
20–0% → Oversold region
50% → Momentum equilibrium
Williams %R helps identify exhaustion, trend strength, and potential reversal zones.
✅ Bollinger %B (20, 2.0) – Turquoise Histogram Bars
%B shows where price is trading relative to the Bollinger Bands:
Above 50% → Price is in the upper half of the band (bullish pressure)
Below 50% → Price is in the lower half (bearish pressure)
Near 100% → Price pushing upper band (possible breakout)
Near 0% → Price testing lower band (possible breakdown)
The histogram visually represents momentum shifts in real time, creating a clean profile of volatility and strength.
🎯 Why This Combination Works
Together, Williams %R and Bollinger %B reveal:
Momentum direction
Overbought/oversold conditions
Volatility compression & expansion
Trend continuation vs reversal zones
High-probability inflection points
Williams %R shows oscillation and exhaustion, while %B shows pressure inside volatility bands.
The combination helps identify whether momentum supports the current trend or is weakening.
🔍 Use Cases
Detect early trend reversals
Validate breakouts and breakdowns
Spot momentum failure in price extremes
Confirm pullbacks and continuation setups
Time entries and exits with higher precision
💡 Best For
Swing traders
Momentum traders
Trend-followers
Options traders (for timing premium decay or volatility expansion)
CS Trend NavigatorCS Trend Navigator (Zero Lag MACD + SMA 200)
General Overview
The CS Trend Navigator is an "all-in-one" trend-following system designed to operate directly on the price chart.
Unlike the traditional MACD which appears in a bottom panel and often suffers from lag, this indicator mathematically projects the MACD momentum directly onto the candles, creating a "Zero Lag" effect. Additionally, it incorporates an institutional SMA 200 to act as the final judge of the macro trend.
It is the ultimate tool to know where you are (SMA 200) and where you are going (Zero Lag MACD).
🔧 Internal Logic & Components
This indicator combines two powerful concepts:
Zero Lag MACD Overlay:
It uses the mathematical formula: Slow EMA + (Fast EMA - Slow EMA).
This allows for the visualization of the MACD and its Signal Line crossover on the exact same scale as the price.
Custom Settings: It utilizes the parameters 12 (Fast), 26 (Slow), and a smoothed Signal of 42, which drastically reduces noise and false signals compared to the standard configuration (9).
SMA 200 Trend Filter:
This is the thick black line. It represents the long-term institutional trend.
It acts as a safety filter: If the price is far from the SMA 200, we expect a reversion; if it is close and bounces, we expect continuation.
📖 Visual Guide
Blue Line (ZeroLag MACD): Represents the immediate momentum of the price. It is fast and reactive.
Red Line (ZeroLag Signal): This is the confirmation line. When the Blue line crosses the Red line, a short-term direction change is confirmed.
Thick Black Line (SMA 200): Acts as the "Floor" (in bullish trends) or the "Ceiling" (in bearish trends).
Candle Coloring:
🟢 Green: Bullish Momentum (MACD > Signal).
🔴 Red: Bearish Momentum (MACD < Signal).
Triangles (▲ / ▼): Signal the exact moment of the Zero Lag line crossovers.
🚀 Recommended Trading Strategy
The CS Trend Navigator shines when used to trade in favor of the major trend.
Scenario A: High Probability Buy (Long)
Price must be ABOVE the SMA 200 (Black Line).
Wait for a pullback where the candles momentarily turn red.
Trigger: Enter when the Green Triangle (▲) appears and the candles turn green again.
Scenario B: High Probability Sell (Short)
Price must be BELOW the SMA 200 (Black Line).
Wait for a bullish bounce towards the average.
Trigger: Enter when the Red Triangle (▼) appears and the candles turn red again.
Scenario C: Mean Reversion (Advanced)
If the price moves too far away from the black line (SMA 200) and a crossover signal appears against the trend (e.g., a Red Triangle appearing very high up), one can trade looking for a return to the black line (Take Profit at the SMA 200).
⚙️ Settings
MACD Settings: 12 / 26 / 42 (Adjustable).
Trend Filter: SMA 200 (Adjustable).
Visuals: You can toggle candle coloring on or off based on your visual preference.
Conclusion
The CS Trend Navigator eliminates the need to look down at a separate oscillator. It keeps you focused on price action, filtering out noise with a smoothed signal (42 periods) and keeping you on the right side of the institutional trend (SMA 200).
QCS - Quantum Confluence OSC
**QCS**
A clean, institutional-grade confluence oscillator designed for scalpers, day traders and swing traders who demand high signal quality with minimal noise.
This indicator fuses three independent, proven market drivers into one smoothed Quantum Score:
- Trend (EMA 8/21 + ATR-normalized strength)
- Momentum (centered and bounded 14-period RSI)
- Order flow (multi-timeframe normalized Cumulative Volume Delta)
Only when these three components align with sufficient strength does the system trigger a signal. No repainting, no future leak, no magic numbers.
### Key Features
- Quantum Score plotted as a single cyan line oscillating around zero (-1 to +1 range)
- Resonance detection: background turns pale gold when ≥2 components are in strong agreement → highest-probability setups
- Two-tier signal system:
- Large gold triangles = STRONG BUY/SELL (high resonance, best risk-reward)
- Standard green/red triangles = regular BUY/SELL
- Real-time information table (top-right) showing Trend direction, exact RSI, CVD bias, current Score, active Signal and Resonance state
- Built-in bearish/bullish hidden divergence protection on CVD (toggleable)
- Multi-timeframe CVD incorporation (1m + 5m + 15m) for superior context without clutter
- Market-regime adaptive weighting (automatically emphasizes trend in high volatility, momentum in low volatility)
### Usability & Practical Application
Designed primarily for 1-minute to 15-minute charts on highly liquid instruments (indices futures, BTC, major forex pairs, large-cap stocks). Works on any symbol and any timeframe, but shines where volume and order flow matter.
Best practical ideas to trade it:
1. Scalping (1m–3m)
Wait for candle close. Take only STRONG (gold) signals in the direction of the 15m trend shown in the table. Typical holding time 3–15 minutes.
2. Intraday swing (5m–15m)
Use regular or STRONG signals. Gold resonance entries routinely catch 3:1 to 8:1 moves on futures and crypto.
3. Confirmation filter
Add to any existing strategy. Only take your usual setups when Quantum table shows matching Signal + HIGH resonance.
### Settings Explained & Recommended Values
Signal Threshold (default 1.0)
- 0.7–0.9 → aggressive scalping (more trades)
- 1.0–1.2 → standard professional setting (excellent win rate)
- 1.3–1.6 → ultra-conservative (very few, very high-probability signals)
Market Regime Filter → leave ON (automatically optimizes weighting)
Divergence Protection → leave ON (prevents most fakeouts at swing highs/lows)
Use MTF CVD → leave ON (adds significant edge, especially in crypto and futures)
Show Component Plots → keep OFF in live trading (turn on only when you want to study internals)
### Performance Profile (author backtests & live forwarding 2024–2025)
- Win rate on STRONG signals: 68–74 % across ES, NQ, BTC, EURUSD on 1m–5m
- Average reward:risk on STRONG signals: 2.8:1 to 4.2:1
- Regular signals still profitable but roughly half the RR of STRONG
### Final Notes
Zero repainting. All calculations use only confirmed data.
Works immediately after adding to chart. No external data feeds required.
Table updates on every tick so you always know the exact market state at a glance.
Trade the gold triangles and you will rarely need another entry indicator.
Bitcoin 4 Year SMA Deviation / DCA HODL gauge Bitcoin 4‑Year SMA Deviation (Daily‑Locked) – Long‑Term Baseline & DCA Guide for HODLers. Bitcoin’s price swings wildly in the short term, but over several years it tends to settle around a smoother trend. A 4‑year simple moving average (SMA) captures that long‑term trajectory, filtering out daily noise, and giving a reliable “baseline” that reflects Bitcoin’s underlying growth path.
Historical consistency: Most of Bitcoin’s major cycles have respected the 4‑year SMA, making it a trustworthy yardstick for anyone who holds the asset for the long term.
What the indicator does
Calculates deviation – Shows the percentage distance between today’s price and the 4‑year SMA.
Displays a histogram – Visualizes the deviation in real‑time, colour‑coded to highlight how far the price sits above or below the baseline.
Daily‑locked logic – All calculations are performed on daily candles, so the signal looks the same whether you view the chart on a 1‑minute, 4‑hour, or weekly timeframe.
How it helps with DCA (Dollar‑Cost Averaging) for HODLers
Spot buying opportunities: When the histogram dips deep into the green zone , Bitcoin is trading at a relative discount to its long‑term trend—an ideal moment to increase your regular DCA contributions.
Guard against over‑buying: A strong positive deviation indicates a "red zone" , the market is stretched above its historic baseline, suggesting a smaller or paused DCA pace.
Quantify confidence: The exact percentage off the SMA gives you a concrete metric to size each DCA tranche, turning gut feeling into a data‑driven plan.
Bottom line for HODLers
Treat the 4‑year SMA as your long‑term compass for Bitcoin. This indicator tells you how far the current price has drifted from that compass, allowing you to decide how aggressively—or conservatively—to execute your DCA strategy. Use it alongside your personal risk tolerance and holding horizon to fine‑tune the cadence and size of your regular Bitcoin purchases. When in doubt, zoom out!
AJFFRSI+QQEROC Uses Jurik RSI for smooth, responsive momentum measurement
Incorporates QQE features for trend strength and dynamic trailing stop signals
Designed for clearer, more reliable overbought/oversold and reversal signals on TradingView
Suitable for intraday, swing, and longer-term analysis
Not a financial advice. DYOR
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe
This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings.
Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters:
- K Period = 21 – smoother reaction, better suited for BTC’s macro cycles
- D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness
- Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal
✅ Smart Signal Logic:
Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws.
Visual Enhancements:
- Thick lines when %K/%D are in overbought/oversold zones
- Green/red background highlights on valid signals
- Optional up/down arrows for clear entry visualization
- Customizable colors, line widths, and transparency
🔒 No alerts included – clean, focused on price action and momentum.
💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves.
Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones.
перевод на русский
Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма
Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина.
В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры:
- Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC
- Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость
- Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота
✅ Интеллектуальная логика сигналов:
Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов».
Улучшенная визуализация:
- Жирные линии, когда %K/%D находятся в экстремальных зонах
- Зелёный/красный фон при появлении сигналов
- Опциональные стрелки для чёткого отображения точек входа
- Настройка цветов, толщины линий и прозрачности
🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе.
💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений.
На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research
## 🎯 What Is This Strategy?
The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions.
Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts.
---
## 💡 Why This Strategy Works
Most traders fail because they:
- **Chase prices** after big moves (buying high, selling low)
- **Overtrade** in choppy, directionless markets
- **Exit too early** or hold losses too long
This strategy solves all three problems:
1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts)
2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade
3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management
**The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting.
---
## 📊 Best Markets & Timeframes
### ⭐ OPTIMAL PERFORMANCE:
**Crude Oil (WTI) - 12H Timeframe**
- **Why it works**: Oil markets have predictable volatility patterns and respect technical levels
**AAVE/USD - 4H to 12H Timeframe**
- **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes
### ✅ Also Works Well On:
- **BTC/USD** (12H, Daily) - Lower frequency but high win rate
- **ETH/USD** (8H, 12H) - Balanced volatility and liquidity
- **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset
- **EUR/USD** (4H, 8H) - Lower volatility, requires patience
### ❌ Avoid Using On:
- Timeframes below 4H (too much noise)
- Low-liquidity altcoins (wide spreads kill performance)
- Strongly trending markets without pullbacks (Bitcoin in 2021)
- News-driven instruments during major events
---
## 🎛️ Understanding The Settings
### Core Stochastic Parameters
**Stochastic Length (Default: 16)**
- Controls the lookback period for price comparison
- Lower = faster reactions, more signals (10-14 for volatile markets)
- Higher = smoother signals, fewer trades (16-21 for stable markets)
- **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H
**Overbought Level (Default: 70)**
- Threshold for short entries
- Lower values (65-70) = more trades, earlier entries
- Higher values (75-80) = fewer but higher-conviction trades
- **Sweet spot**: 70 works for most assets
**Oversold Level (Default: 25)**
- Threshold for long entries
- Higher values (25-30) = more trades, earlier entries
- Lower values (15-20) = fewer but stronger bounce setups
- **Sweet spot**: 20-25 depending on market conditions
**Smooth K & Smooth D (Default: 7 & 3)**
- Additional smoothing to filter out whipsaws
- K=7 makes the indicator slower and more reliable
- D=3 is the signal line that confirms the trend
- **Don't change these unless you know what you're doing**
---
### Risk Management
**Stop Loss % (Default: 2.2%)**
- Automatically exits losing trades
- Should be 1.5x to 2x your average market volatility
- Too tight = death by a thousand cuts
- Too wide = uncontrolled losses
- **Calibration**: Check ATR indicator and set SL slightly above it
**Take Profit % (Default: 7%)**
- Automatically exits winning trades
- Should be 2.5x to 3x your stop loss (reward-to-risk ratio)
- This default gives 7% / 2.2% = 3.18:1 R:R
- **The golden rule**: Never have R:R below 2:1
---
### Trade Filters
**Bar Cooldown Filter (Default: ON, 3 bars)**
- **What it does**: Forces you to wait X bars after closing a trade before entering a new one
- **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets
- **Settings guide**:
- 3 bars = Standard (good for most cases)
- 5-7 bars = Conservative (oil, slow-moving assets)
- 1-2 bars = Aggressive (only for experienced traders)
**Exit on Opposite Extreme (Default: ON)**
- Closes your long when stochastic hits overbought (and vice versa)
- Acts as an early profit-taking mechanism
- **Leave this ON** unless you're testing other exit strategies
**Divergence Filter (Default: OFF)**
- Looks for price/momentum divergences for additional confirmation
- **When to enable**: Trending markets where you want fewer but higher-quality trades
- **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time)
---
## 🚀 Quick Start Guide
### Step 1: Set Up in TradingView
1. Open TradingView and navigate to your chart
2. Click "Pine Editor" at the bottom
3. Copy and paste the strategy code
4. Click "Add to Chart"
5. The strategy will appear in a separate pane below your price chart
### Step 2: Choose Your Market
**If you're trading Crude Oil:**
- Timeframe: 12H
- Keep all default settings
- Watch for signals during London/NY overlap (8am-11am EST)
**If you're trading AAVE or crypto:**
- Timeframe: 4H or 12H
- Consider these adjustments:
- Stochastic Length: 10-14 (faster)
- Oversold: 20 (more aggressive)
- Take Profit: 8-10% (higher targets)
### Step 3: Wait for Your First Signal
**LONG Entry** (Green circle appears):
- Stochastic crosses up below oversold level (25)
- Price likely near recent lows
- System places limit order at take profit and stop loss
**SHORT Entry** (Red circle appears):
- Stochastic crosses down above overbought level (70)
- Price likely near recent highs
- System places limit order at take profit and stop loss
**EXIT** (Orange circle):
- Position closes either at stop, target, or opposite extreme
- Cooldown period begins
### Step 4: Let It Run
The biggest mistake? **Interfering with the system.**
- Don't close trades early because you're scared
- Don't skip signals because you "have a feeling"
- Don't increase position size after a big win
- Don't revenge trade after a loss
**Follow the system or don't use it at all.**
---
### Important Risks:
1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal.
2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses.
3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss.
4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage).
---
## 🔧 Optimization Guide
### When to Adjust Settings:
**Market Volatility Increased?**
- Widen stop loss by 0.5-1%
- Increase take profit proportionally
- Consider increasing cooldown to 5-7 bars
**Getting Too Few Signals?**
- Decrease stochastic length to 10-12
- Increase oversold to 30, decrease overbought to 65
- Reduce cooldown to 2 bars
**Getting Too Many Losses?**
- Increase stochastic length to 18-21 (slower, smoother)
- Enable divergence filter
- Increase cooldown to 5+ bars
- Verify you're on the right timeframe
### A/B Testing Method:
1. **Run default settings for 50 trades** on your chosen market
2. Document: Win rate, profit factor, max drawdown, emotional tolerance
3. **Change ONE variable** (e.g., oversold from 25 to 20)
4. Run another 50 trades
5. Compare results
6. Keep the better version
**Never change multiple settings at once** or you won't know what worked.
---
## 📚 Educational Resources
### Key Concepts to Learn:
**Stochastic Oscillator**
- Developed by George Lane in the 1950s
- Measures momentum by comparing closing price to price range
- Formula: %K = (Close - Low) / (High - Low) × 100
- Similar to RSI but more sensitive to price movements
**Mean Reversion vs. Trend Following**
- This is a **mean reversion** strategy (price returns to average)
- Works best in ranging markets with defined support/resistance
- Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks)
- Complement with trend filters for better results
**Risk:Reward Ratio**
- The cornerstone of profitable trading
- Winning 40% of trades with 3:1 R:R = profitable
- Winning 60% of trades with 1:1 R:R = breakeven (after fees)
- **This strategy aims for 45% win rate with 2.5-3:1 R:R**
### Recommended Reading:
- *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators)
- *"Mean Reversion Trading Systems"* by Howard Bandy
- *"The New Trading for a Living"* by Dr. Alexander Elder
---
## 🛠️ Troubleshooting
### "I'm not seeing any signals!"
**Check:**
- Is your timeframe 4H or higher?
- Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)?
- Is cooldown still active from a previous trade?
- Are you on a low-liquidity pair?
**Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds.
---
### "The strategy keeps losing money!"
**Check:**
- What's your win rate? (Below 35% is concerning)
- What's your profit factor? (Below 0.8 means serious issues)
- Are you trading during major news events?
- Is the market in a strong trend?
**Solution**:
1. Verify you're using recommended markets/timeframes
2. Increase cooldown period to avoid choppy markets
3. Reduce position size to 5% while you diagnose
4. Consider switching to daily timeframe for less noise
---
### "My stop losses keep getting hit!"
**Check:**
- Is your stop loss tighter than the average ATR?
- Are you trading during high-volatility sessions?
- Is slippage eating into your buffer?
**Solution**:
1. Calculate the 14-period ATR
2. Set stop loss to 1.5x the ATR value
3. Avoid trading right after market open or major news
4. Factor in 0.2% slippage for crypto, 0.1% for oil
---
## 💪 Pro Tips from the Trenches
### Psychological Discipline
**The Three Deadly Sins:**
1. **Skipping signals** - "This one doesn't feel right"
2. **Early exits** - "I'll just take profit here to be safe"
3. **Revenge trading** - "I need to make back that loss NOW"
**The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency.
---
### Position Management
**Scaling In/Out** (Advanced)
- Enter 50% position at signal
- Add 50% if stochastic reaches 10 (oversold) or 90 (overbought)
- Exit 50% at 1.5x take profit, let the rest run
**This is NOT for beginners.** Master the basic system first.
---
### Market Awareness
**Oil Traders:**
- OPEC meetings = volatility spikes (avoid or widen stops)
- US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after
- Summer driving season = different patterns than winter
**Crypto Traders:**
- Monday-Tuesday = typically lower volatility (fewer signals)
- Thursday-Sunday = higher volatility (more signals)
- Avoid trading during exchange maintenance windows
---
## ⚖️ Legal Disclaimer
This trading strategy is provided for **educational purposes only**.
- Past performance does not guarantee future results
- Trading involves substantial risk of loss
- Only trade with capital you can afford to lose
- No one associated with this strategy is a licensed financial advisor
- You are solely responsible for your trading decisions
**By using this strategy, you acknowledge that you understand and accept these risks.**
---
## 🙏 Acknowledgments
Strategy development inspired by:
- George Lane's original Stochastic Oscillator work
- Modern quantitative trading research
- Community feedback from hundreds of backtests
Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets.
---
**Good luck, stay disciplined, and trade the system, not your emotions.**
Triple 9 Bias filter Triple 9 Bias – Precision Multi-Timeframe Directional Filter
Technical Overview
The Triple 9 Bias is a precision multi-timeframe directional filter built exclusively for 5-minute (and lower) trading.
It stacks three EMA-9 trend directions (4H + 1H + 15m) as Primary confluence and uses only the 4H RSI-14 as Secondary confirmation.
Integrity Check: Zero repaint · Zero lookahead · Works identically on any chart timeframe.
The Trading Rule (Simple)
Long Trades: Only trade longs when all three EMA-9s are UP + 4H RSI > 50
Short Trades: Only trade shorts when all three EMA-9s are DOWN + 4H RSI < 50
Otherwise — stand aside.
Display Components
A. Plotted Higher-Timeframe EMAs (No Repainting)
All values are pulled from closed higher-timeframe bars.
4H EMA 9 (Red step-line)
1H EMA 9 (Purple step-line)
15m EMA 9 (Orange step-line)
B. Locked Dashboard (Bottom-Right)
Clean table split into Primary and Secondary sections for instant bias reading.
Colour Logic:
🟢 Lime = UP / BUY
🔴 Red = DOWN / SELL
Background Logic:
Full Green: Only when all three EMA-9s are UP
Full Red: Only when all three EMA-9s are DOWN
Gray: Otherwise = no trade
Indicator Breakdown
3.1. Primary Confluence – EMA 9 Slope
4H EMA 9 direction (compared 10 bars back)
1H EMA 9 direction (compared 6 bars back)
15m EMA 9 direction (compared 6 bars back)
3.2. Secondary Confluence
4H RSI-14 vs 50 level (BUY if >50, SELL if <50)
High-Probability Signal: When Primary = all three “UP” and Secondary = “BUY” → highest-probability bullish bias (and vice-versa for bearish).
Big Trend Double Check Trading SystemThis Indicator was built to cater to a 5th Grade audience. Use this indicator to bring your new friends and kids into the Stock Market and help them understand how the Stock Market works!
Understanding the Big Trend Double Check Trading System
What Is This Tool?
This is a helper tool for buying and selling stocks. Think of it like having two smart friends who watch stock prices all day and tell you when it might be a good time to buy or sell.
It's like having a GPS and a map - when both agree on which way to go, you can feel more confident about your direction!
The Two Helpers
1. Big Trend (Shows the Big Picture)
The Big Trend is like a compass that shows which direction the stock is going.
What it does:
-Draws a green line below the price when stocks are going UP
-Draws a red line above the price when stocks are going DOWN
-Helps you see if we're in an uphill or downhill pattern
Real-life example:
Imagine you're on a bike ride. The Big Trend tells you if the road ahead is going uphill or downhill. You can see the general direction you're traveling.
2. Double Check (Makes Sure It's Really Happening)
The Double Check is like asking a second friend to make sure the first friend is right.
What it does:
-Checks if the movement UP is really strong
-Checks if the movement DOWN is really strong
-Tells you if the movement is weak or just not clear
Real-life example:
It's like checking both the weather app AND looking outside the window before deciding if you need an umbrella. If both say it's raining, you definitely need that umbrella!
How Do They Work Together?
The magic happens when BOTH helpers agree! This is called being "In Sync."
🚀 Strong Go Up Signal (Maybe Time to Buy)
When does this happen?
-Big Trend says: "We're going UP!" ↑
-Double Check says: "Yes! And it's going up STRONG!" ↑
-Both are pointing the same direction UP
What you see on screen:
-A green background lights up
-A label appears that says "Strong Go Up"
-The information box shows they are "In Sync"
What it means:
Like when you're riding your bike downhill AND the wind is pushing you from behind - everything is helping you go fast in the same direction!
🔻 Strong Go Down Signal (Maybe Time to Sell)
When does this happen?
-Big Trend says: "We're going DOWN!" ↓
-Double Check says: "Yes! And it's going down STRONG!" ↓
-Both are pointing the same direction DOWN
What you see on screen:
-A red background lights up
-A label appears that says "Strong Go Down"
-The information box shows they are "In Sync"
What it means:
Like when you're trying to ride your bike uphill AND the wind is blowing against you - everything is making it harder to go up!
Exit Signals (When to Stop and Get Out)
Just like knowing when to get off a ride at an amusement park, you need to know when to exit a trade. This tool helps with that too!
🚪 Exit Up (Time to Sell When You Were Going Up)
Two ways this can happen:
Method 1: Out of Sync Exit
-The two helpers STOP agreeing with each other
-Big Trend might say up, but Double Check says something else
-Like when your GPS and map start showing different routes - time to stop and figure things out!
Method 2: First Top Drop Exit
-The backup meter was climbing higher and higher
-Then it reaches the first top and starts dropping down
-Like pumping on a swing - you go really high, but then you start coming back down
What you see:
-An orange X appears on the chart
-A label says "Exit Up"
-Time to think about selling!
🚪 Exit Down (Time to Buy Back When You Were Going Down)
Works the same way but in reverse:
-Either the helpers stop agreeing
-Or the backup meter hits its first bottom and starts climbing back up
What you see:
-An orange X appears on the chart
-A label says "Exit Down"
-Time to think about closing your position!
The Information Box (Your Dashboard)
In the top right corner, there's a helpful box that shows everything at a glance:
Row 1: Big Trend
-Shows if it's "Going Up ↑" (green) or "Going Down ↓" (red)
-This is the big picture view
Row 2: Double Check
-Shows if it "Says Up ↑" (green), "Says Down ↓" (red), or "Not Sure →" (gray)
-This is the confirmation view
Row 3: Backup Meter
-Shows a number and an arrow (↑ ↓ →)
-Positive numbers (green) = going up strength
-Negative numbers (red) = going down strength
-The arrow shows if it's getting stronger or weaker
Row 4: In Sync?
-"YES - UP ✓" (green) = Both helpers agree stocks are going up
-"YES - DOWN ✓" (red) = Both helpers agree stocks are going down
-"Not Yet" (gray) = The helpers don't agree yet, so wait
Row 5: What To Do
-🚀 "GO UP" (green) = Strong signal to consider buying
-🔻 "GO DOWN" (red) = Strong signal to consider selling
-🚪 "EXIT UP" or "EXIT DOWN" (orange) = Time to get out!
-"Keep Going Up" or "Keep Going Down" = Stay in your current trade
-"Wait" (gray) = Nothing clear is happening, just be patient
Understanding Colors
The tool uses colors to make everything easy to understand:
-🟢 GREEN = Going up (good for buying)
-🔴 RED = Going down (good for selling)
-🟠 ORANGE = Warning! Time to exit!
-⚫ GRAY = Nothing clear, just wait
Memory trick: Think of a traffic light!
-Green = Go (buy)
-Red = Stop (sell)
-Orange/Yellow = Caution (exit)
Alerts (Getting Notifications)
The tool can send you alerts like text messages when important things happen:
Entry Alerts:
-🚀 "GO UP: Big Trend + Double Check IN SYNC GOING UP!"
-🔻 "GO DOWN: Big Trend + Double Check IN SYNC GOING DOWN!"
Exit Alerts:
-🚪 "EXIT UP: Exit condition happened!"
-🚪 "EXIT DOWN: Exit condition happened!"
Why this helps: You don't have to watch the screen all day! The tool will let you know when something important happens.
Trading Session Filter (Time Settings)
You can tell the tool to only look for trades during certain times of the day.
Examples:
-Only during school hours (when grown-ups are working)
-Only in the morning
-Only in the afternoon
Why this helps: Some people only want to trade during specific hours when they're available or when the market is most active.
Settings You Can Change
Just like adjusting the difficulty in a video game, you can customize how the tool works:
Big Trend Settings:
-Bumpiness Period: How much jumpiness it watches
-Bumpiness Factor: How sensitive it is to changes
-Bigger numbers = less sensitive (fewer signals)
-Smaller numbers = more sensitive (more signals)
Double Check Settings:
-Power Length: How far back it looks
-Power Smoothing: How smooth the line is
-Change Factor: How much change it needs to see
-Signal Limit: How strong the signal needs to be
Exit Settings:
-Turn "Out of Sync Exit" on or off
-Turn "First Top Drop Exit" on or off
-You can use one, both, or neither!
Display Settings:
-Show or hide labels
-Show or hide the colored background
-Show or hide the small Big Trend markers
Why This Tool Is Helpful
Instead of guessing when to buy or sell, this tool:
✅ Watches the market for you all day
✅ Waits until two different helpers agree
✅ Tells you when to get in (buy or sell)
✅ Warns you when to get out (exit)
✅ Shows everything with easy colors and pictures
✅ Sends you alerts so you don't miss anything
Important Things to Remember
1. Both Helpers Must Agree
The strongest signals happen when Big Trend AND Double Check both point the same way. Don't act on just one helper!
2. Green Means Up, Red Means Down
This is super easy to remember. The colors tell you everything!
3. Orange X Means Get Out
When you see the orange exit signal, it's time to think about closing your trade.
4. The Information Box Is Your Friend
Check the box in the top right corner - it shows you everything you need to know right now.
5. Wait for "In Sync"
The tool works best when it shows "YES - UP ✓" or "YES - DOWN ✓" in the In Sync row.
6. Gray Means Be Patient
If you see gray colors, it means nothing clear is happening. That's okay! Just wait for a better signal.
Real-World Example: Buying a Lemonade Stand
Let's pretend stocks are like running a lemonade stand:
Strong Go Up Signal:
Big Trend notices more people walking by your stand every day ↑
Double Check confirms those people are also buying more lemonade ↑
Both agree = Great time to make more lemonade! (Buy signal)
Strong Go Down Signal:
-Big Trend sees fewer people walking by ↓
-Double Check confirms people are also buying less lemonade ↓
-Both agree = Maybe time to close early today (Sell signal)
Exit Signal:
-You were making lots of lemonade because business was good
-But suddenly the weather changes or people stop agreeing
-Time to stop making so much! (Exit signal)
One More Important Note
This tool is a helper, not a decision maker. It's like having a calculator for math homework:
-The calculator helps you do the math faster
-But YOU still need to understand what you're calculating
-And YOU make the final decision
Grown-ups should always make the final decisions about buying and selling stocks. This tool just helps them see patterns and get alerts when interesting things happen!
Think of it as training wheels on a bike - they help you learn and feel more confident, but you're still the one riding the bike!
Quick Reference Card
What to look for:
-Check if Big Trend and Double Check are In Sync ✓
-Look at the background color (green = up, red = down)
-Watch for labels (Strong Go Up, Strong Go Down, Exit)
-Pay attention to orange X marks (exit signals)
-Read the Information Box for current status
Best signals happen when:
✅ Both helpers agree (In Sync)
✅ Background is colored (green or red)
✅ Clear label appears
✅ Backup meter is moving strongly
Time to be careful:
⚠️ Gray colors showing
⚠️ "Not Sure" in Double Check
⚠️ "Not Yet" for In Sync
⚠️ Orange exit signals appear
Remember: The tool helps you see patterns, but smart trading also needs patience, practice, and learning!
NULL_SmartTrend_v3.5t.me
@null_company
@Alexa_Na1405 - X
It works well on 4H and 1D
Testing:
Initial capital: 10,000 US dollars (in US dollars).
Strategy: Only for long/only for short positions, but with switching (buying on long terms, selling on short terms, closing the previous position).
Fees: 0.1% on entry/exit (realistic for futures/crypts).
Risk: Full position (100% equity on each signal), non-stop (as in the basic version 3.3).
Data: OHLCV from Yahoo Finance (checked for compliance with TradingView).
Signals: Do not change when the bar is closed.
Indicators: Total return, number of trades, winning ratio (profitable trades), Sharpe ratio (risk to return ratio).Key points:
Daily (1 day): Signals are received rarely (1-2 per month), but they are very accurate — they capture the main trends (growth in 2021 to 69 thousand dollars, correction in 2022, jump in 2024-2025). The win rate is high because it ignores noise. The yield is more than 12 times higher than when buying and holding BTC (+1150% over the period).
4H: There are more signals (1-2 per week), but more false ones in the sideways trend (summer 2023). Still profitable, but with a large drawdown — suitable for active trading. The Sharpe ratio is lower because of the frequency.
General information: The indicator is strong in trends (the ADX filter works), but in a sideways trend (ADX<25) it gives out ~20% false signals. There is no redrawing, the closing signals are safe for live.
Examples of key signals (daily, BTC):
Purchase 2020-12-15: After correction, entry in the amount of ~20 thousand dollars → exit for sale 2021-04 → profit +220%.
Sell 2022-01-10: Before the collapse → profit +45% on a short position.
Buy 2023-01-20: Bearish bottom ~16 thousand dollars → +500% by 2025.
Sale 2024-07-05: Before correction from $70 thousand. → +15%.The result for BTC 1D in 5 years (approximately):
Without filter: ~53 signals, the winning bet is 68%
With filter: ~38 signals, 79% win rate, higher profit
SMC Trend Reversal by Pooja🌟 SMC Trend Reversal by Pooja — CHoCH + BOS + RSI Confirmation
🔥 Smart Money Concepts • Trend Reversal Detection • Multi-Asset Optimized
The SMC Trend Reversal by Pooja is a powerful market-structure indicator designed for traders who follow Smart Money Concepts (SMC) and want to identify trend reversals, BOS, and CHoCH with high clarity.
It blends pivot-based structure breaks, RSI confirmation, and an optional session filter, giving traders a clean and reliable view of market shifts across Crypto, Forex, Indices, and Equity Derivatives.
✨ 🔰 Why SMC Matters in Crypto & Forex?
Both Crypto and Forex markets:
Trade 24/7 / 5 days with high volatility
React strongly to liquidity zones, market structure shifts, and smart money footprints
Often reverse sharply after liquidity grabs
Follow clean CHoCH → BOS → Trend progression sequences
This is why CHoCH (Change of Character) and BOS (Break of Structure) are crucial tools used by professional SMC traders to catch early trend reversals.
This indicator automates that process for you.
No clutter. No repaints. No noise.
Just pure SMC structure.
🚀 Key Features
🟣 CHoCH Detection (Change of Character)
Detects when the market shifts direction
A CHoCH appears when the trend flips from down → up or up → down
Highlights the earliest sign of a trend reversal
Draws a clean CHoCH line across structure
Works beautifully in volatile markets like Crypto & Forex
🔵 BOS Detection (Break of Structure)
Identifies structural continuation in the same direction
Helps confirm the new trend after CHoCH
Clear BOS lines to visualize progression of market flow
Ideal for trend-following and breakout traders
🧠 RSI-Based Confirmation (Optional)
To avoid fake CHoCH signals, the indicator uses RSI filtering:
RSI > Upper Level → Show “B” Buy Label
RSI < Lower Level → Show “S” Sell Label
This improves accuracy especially in:
Fast crypto markets (BTC, ETH, SOL etc.)
Liquidity-driven assets (Forex, Indices)
⏱️ Session Block (Asia/Kolkata Compatible)
Avoid signals in the first few minutes of market open or in volatile windows.
Block signals in a selected time range
Perfect for Indian market opening volatility (09:00–09:25)
🎯 Clean, Minimal, Easy-to-Read Visuals
✔ Horizontal structural lines
✔ Color-coded CHoCH and BOS
✔ Buy (B) / Sell (S) labels only when meaningful
✔ No unnecessary clutter
✔ Suitable for both beginners and advanced SMC traders
📢 Built-In Alerts
Receive notifications for:
🔔 Bullish CHoCH
🔔 Bearish CHoCH
🔔 Bullish BOS
🔔 Bearish BOS
Perfect for mobile, desktop, and webhook automation.
📈 How It Helps Your Trading
✔ Catch early trend reversals with confidence
✔ Avoid false signals with RSI filtering
✔ Trade like Smart Money (Institutional concepts)
✔ Works on all timeframes — scalping to swing
✔ Specially powerful on Crypto & Forex due to their structure-driven nature
✔ Cleaner charts → Better decisions → Higher probability trades
🧩 Who Should Use This Indicator?
✔ SMC / ICT style traders
✔ Breakout and trend-following traders
✔ Reversal traders
✔ Crypto & Forex scalpers
✔ Option buyers looking for early trend shifts
✔ Intraday NIFTY / BANKNIFTY traders
⚠️ Disclaimer
This indicator is for educational purposes and market analysis only.
It does not guarantee profits. Always practice risk management and test your settings before using it live.
Zfr RSI Pozitif - Negatif Uyumsuzluk TaramasıIt helps to track the direction of RSI with moving average while displaying divergence and related scans on the standard RSI.
Tactical Deviation🎯 TACTICAL DEVIATION - Volume-Backed VWAP Deviation Analysis
What Makes This Different?
Unlike basic VWAP indicators, Tactical Deviation combines:
• Multi-timeframe VWAP deviation bands (Daily/Weekly/Monthly)
• Volume spike intelligence - signals only appear with volume confirmation
• Pivot reversal detection at deviation extremes
• Optional multi-VWAP confluence system
• Smart defaults for quality over quantity
This unique combination filters weak setups and identifies high-probability entries at extreme price deviations from fair value.
📊 DEFAULT SETTINGS (Ready to Use)
✅ Daily VWAP with ±2σ deviation bands
✅ Volume spike detection (1.5x average required)
✅ 2σ minimum deviation for signals
❌ Weekly/Monthly VWAPs (enable for multi-timeframe)
❌ Pivot reversal requirement (enable for stronger signals)
❌ Fill zones (optional visual enhancement)
Why: Daily VWAP is most relevant for intraday trading. 2σ bands catch meaningful moves. Volume spikes ensure conviction. Clean chart focuses on what matters.
🚀 HOW TO USE
BASIC USAGE:
• Green triangles (below bars) = Long signals at oversold deviations
• Red triangles (above bars) = Short signals at overbought deviations
SIGNAL QUALITY:
• Normal size, bright colors = Volume spike (best quality)
• Small size, lighter colors = Volume momentum
• Tiny size = No volume confirmation
DEVIATION ZONES:
• ±2σ = Extreme deviation (signals appear here)
• ±1σ to ±2σ = Extended but not extreme
• Within ±1σ = Normal range
TRADING APPROACHES:
Mean Reversion:
→ Enter when price reaches ±2σ with volume spike
→ Target: Return to VWAP or opposite band
→ Stop: Beyond extreme deviation
Trend Continuation:
→ Use bands to identify pullbacks
→ Enter pullback to VWAP in trending market
→ Volume confirms continuation
Reversal Trading:
→ Enable "Require Pivot Reversal" for stronger signals
→ Signals only when deviation + pivot reversal occur
→ Higher probability, fewer signals
⚙️ EXPLORE SETTINGS FOR FULL USE
VWAP SETTINGS:
• Show Weekly/Monthly VWAP = Multi-timeframe context
• Show ±1σ Bands = Normal deviation range
• Show ±3σ Bands = Extreme extremes (rare but powerful)
SIGNAL SETTINGS:
• Min Deviation: 1σ (more signals) | 2σ (default) | 3σ (fewer, extreme only)
• Require Pivot Reversal: OFF (default) | ON (stronger but fewer)
• Volume Spike Threshold: 1.5x (default) | 2.0x+ (major spikes) | 1.2x (more signals)
CONFLUENCE SETTINGS:
• Require Multi-VWAP Confluence: OFF (default) | ON (2+ VWAPs must agree)
• Min VWAPs: 2 (Daily + Weekly/Monthly) | 3 (all must agree)
VISUAL SETTINGS:
• Show Fill Zones = Shaded areas between bands
• Fill Opacity = Transparency adjustment
• Line Widths = Customize thickness
💡 PRO TIPS
1. Start with defaults, then enable features as you learn
2. Volume spike requirement filters weak moves - keep it enabled
3. Enable Weekly/Monthly VWAPs for higher timeframe context
4. Enable confluence for swing trading setups
5. Pivot reversals: ON for reversals, OFF for continuations
6. Check top-right info table for current deviation levels
🎨 VISUAL GUIDE
• Cyan Line = Daily VWAP (fair value)
• Cyan Bands = Daily deviation zones
• Orange Line = Weekly VWAP (if enabled)
• Purple Line = Monthly VWAP (if enabled)
• Green Triangle = Long signal (oversold)
• Red Triangle = Short signal (overbought)
⚠️ IMPORTANT
Educational purposes only. Always use proper risk management. Signals are based on statistical deviation, not guarantees. Volume confirmation improves quality but doesn't guarantee outcomes. Combine with your own analysis.
The unique combination of VWAP deviation analysis, volume profile confirmation, pivot identification, and multi-timeframe confluence in a single clean interface makes Tactical Deviation different from basic VWAP indicators.
Happy Trading! 📈
Pressure Pivots - MPI (Strategy)⇋ PRESSURE PIVOTS — MARKET PRESSURE INDEX STRATEGY
A comprehensive reversal trading system that combines order flow pressure analysis, multi-factor confluence detection, and adaptive machine learning to identify high-probability turning points in liquid markets.
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CORE INNOVATION: MARKET PRESSURE INDEX (MPI)
Traditional indicators measure price movement. The Market Pressure Index measures the force behind the movement.
How MPI Works:
Every bar tells two stories through volume distribution:
• Buy Pressure: Volume × (Close - Low) / (High - Low)
• Sell Pressure: Volume × (High - Close) / (High - Low)
• Net Pressure: Buy Pressure - Sell Pressure
This raw pressure is then normalized against baseline activity to create the bounded MPI (-1.0 to +1.0):
• Smooth Pressure: EMA(Net Pressure, period)
• Baseline Activity: SMA(|Net Pressure|, period × 2)
• MPI: (Smooth Pressure / Baseline) × Sensitivity
What MPI Reveals:
MPI > +0.7: Extreme buy pressure → Exhaustion potential
MPI = +0.2 to +0.7: Healthy bullish momentum
MPI = -0.2 to +0.2: Neutral/balanced pressure
MPI = -0.7 to -0.2: Healthy bearish momentum
MPI < -0.7: Extreme sell pressure → Exhaustion potential
Why It Works:
Two bars can both move 10 points, but if one closes at the high on high volume (aggressive buying) and the other closes mid-range on average volume (weak buying), only MPI distinguishes between sustainable momentum and exhaustion. This volume-weighted pressure analysis reveals conviction behind price moves—the key to timing reversals.
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SEVEN-FACTOR CONFLUENCE SYSTEM
MPI extremes alone aren't enough. The system requires multiple independent confirmations through weighted scoring:
1. DIVERGENCE (Weight: 3.0) — Premium Signal Type: DIV
Price makes new high but MPI makes lower high (or inverse for bullish)
• Detection: Tracks pivots with 5-bar lookback, compares price vs MPI at pivot points
• Signal: Purple triangles, highest weight (pressure weakening while price extends)
2. LIQUIDITY SWEEP (Weight: 2.5) — Premium Signal Type: LIQ
Price breaks swing high/low within 0.3 ATR then reverses
• Detection: Break within tolerance + close back through level
• Signal: Orange triangles, second-highest weight (stop hunt reversal)
3. ORDER FLOW IMBALANCE (Weight: 2.0) — Premium Signal Type: OF
Aggressive buying/selling 50% above normal
• Detection: EMA(aggressive volume) vs SMA(imbalance) threshold
• Signal: Aqua triangles, institutional positioning
4. VELOCITY EXHAUSTION (Weight: 1.5)
Parabolic move (2+ ATRs in 3 bars) + extreme MPI
• Detection: |3-bar price change / ATR| > threshold + MPI > ±0.5
• Indicates: Momentum deceleration, blow-off top/bottom
5. WICK REJECTION (Weight: 1.5)
Single bar: wick > 60% of range, or sequence: 2 bars with 40% + 30% wicks
• Detection: Shooting stars (bearish) or hammers (bullish)
• Indicates: Intrabar rejection, battle won by opposing side
6. VOLUME SPIKE (Weight: 1.0)
Volume > 20-bar average × multiplier (default: 2.0x)
• Detection: Participation surge confirmation
• Lowest weight: Can be manipulated, better as confirmation
7. POSITION FACTOR (Weight: 1.0)
At 10-bar highest (bearish) or lowest (bullish)
• Detection: Structural positioning for reversal
• Base requirement: Must be at extreme to score
Scoring Logic:
Premium Signals (DIV/LIQ/OF): Must score ≥6.0 (default premiumThreshold)
Standard Signals (STD): Must score ≥4.0 (default standardThreshold)
Example Scoring:
Divergence (3.0) + Liquidity Sweep (2.5) + Volume (1.0) = 6.5 → FIRES (DIV signal)
Recent High (1.0) + Wick (1.5) + Volume (1.0) + Velocity (1.5) = 5.0 → FIRES (STD signal)
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ADAPTIVE LEARNING ENGINE
Unlike static strategies, this system learns from every trade and optimizes itself.
Performance Tracking:
Every trade records:
• Entry Score: Confluence level at entry
• Signal Type: DIV / LIQ / OF / STD
• Win/Loss: Boolean outcome
• R-Multiple: (Exit - Entry) / (Entry - Stop)
• MAE: Maximum Adverse Excursion (worst drawdown)
• MFE: Maximum Favorable Excursion (best profit reached)
Three Adaptive Parameters:
1. Signal Threshold Adaptation
If Win Rate < Target (45%): RAISE threshold → fewer signals, better quality
If Win Rate > Target + 10% AND good R: LOWER threshold → more signals, profitable
2. Stop Distance Adaptation
If Avg MAE > 0.85 AND WR < 50%: WIDEN stops → reduce premature exits
If Avg MAE < 0.4 AND WR > 55%: TIGHTEN stops → reduce risk
3. Target Distance Adaptation
If Avg MFE > Target × 1.5: EXTEND targets → capture more of runners
If Avg MFE < Target × 0.7: SHORTEN targets → take profits faster
Signal Type Filtering:
The system tracks performance by type (DIV/LIQ/OF/STD):
• If Type WR < 40% AND Avg R < 0.8: Type DISABLED
• If Type WR ≥ 40% OR Avg R ≥ 0.8: Type RE-ENABLED
Example: If OF signals consistently lose while DIV signals win, system automatically stops taking OF signals and focuses on DIV.
Warmup Period:
First 30 trades (default) gather baseline data with relaxed thresholds. After warmup, full adaptation activates.
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COMPLETE POSITION MANAGEMENT
Dynamic Position Sizing:
Base Contracts = (Equity × Risk%) / (Stop Distance × Point Value)
Then multiplied by:
• Score Bonus: Up to +50% for highest-scoring signals
• Signal Type Bonus: DIV signals +50%, LIQ signals +30%
• Streak Multiplier: After 3 losses: 50% reduction, After 3 wins: 25% increase
Example: High-scoring DIV signal on winning streak = 3-4× larger position than weak STD signal on losing streak
Entry Modes:
Single Entry: Full size at once, exit at TP2 (or partial at TP1)
Tiered Entry: 40% at TP1 (2R), 60% at TP2 (4R adaptive)
Stop Management (3 Modes):
Structural: Beyond recent 20-bar swing high/low + buffer
ATR: Fixed ATR multiplier (default: 2.0 ATR, then adapts)
Hybrid: Attempt structural, fallback to ATR if invalid
Plus:
• Breakeven: Move stop to entry ± 1 tick when 1R reached
• Trailing: Activate when 1.5R reached, trail 0.8R behind price
• Max Loss Override: Cap dollar risk regardless of calculation
Target Management:
Fixed Mode: TP1 = 2R, TP2 = 4R
Adaptive Mode: TP1 = 2R fixed, TP2 adapts based on MFE analysis
Partial Exits: Default 50% at TP1, remainder at TP2 or trailing stop
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COMPREHENSIVE RISK CONTROLS
Daily Limits:
• Max Daily Loss: $2,000 default → HALT trading
• Max Daily Trades: 15 default → prevent overtrading
• Max Concurrent: 2 positions → limit correlation risk
Session Controls:
• Trading Hours: Specify start/end times + timezone
• Weekend Block: Optional (avoid crypto weekend volatility)
Prop Firm Protection (Live Trading Only):
• Daily Loss Limit: Stricter of general or prop limit ($1,000 default)
• Trailing Drawdown: Tracks high water mark, HALTS if breach ($2,500 default)
• Reset on Reload: Optional high water mark reset
Liquidity Filter (Optional):
• Time-Based: Avoid first/last X minutes of session
• Volume-Based: Require minimum volume ratio (0.5× average default)
Market Regime Filter (Optional):
• ADX-Based: Only trade when ADX > threshold (trending)
• Block: Consolidation (ADX < 20) or Transitional regimes
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REAL-TIME DASHBOARD
MPI Gauge Section:
Shows current pressure: 🟢 STRONG BUY (+0.5 to +1.0), 🟩 BUY PRESSURE (+0.2 to +0.5), ⚪ NEUTRAL (-0.2 to +0.2), 🟥 SELL PRESSURE (-0.5 to -0.2), 🔴 STRONG SELL (-1.0 to -0.5)
Signal Status Section:
• Active Signals: "🔴 DIV SELL" (purple background), "🟢 LIQ BUY" (orange), "🔵 OF SELL" (aqua), "🟢 STD BUY" (green)
• Warnings: "⚠️ BEAR WARNING" / "⚠️ BULL WARNING" (yellow) — setup forming, not full signal
• Scanning: "⏳ SCANNING..." (gray) — no signal active
• Confidence Bar: Visual score display "██████░░░░" showing confluence strength
Divergence Indicator:
"🟣 BEARISH DIVERGENCE" or "🟡 BULLISH DIVERGENCE" when detected
Performance Statistics:
• Overall Win Rate: Wins/Total with visual bar (lime ≥70%, yellow 50-70%, red <50%)
• Directional: Bearish vs Bullish win rates separately
• By Signal Type: DIV / LIQ / OF / STD individual performance tracking
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KEY PARAMETERS EXPLAINED
🎯 Pressure Engine:
• MPI Period (5-50, default: 14): Smoothing period — lower for scalping, higher for position trading
• MPI Sensitivity (0.5-5.0, default: 1.5): Amplification — lower compresses range, higher more extremes
🔍 Detection:
• Wick Threshold (0.3-0.9, default: 0.6): Minimum wick-to-range ratio for rejection
• Volume Spike (1.2-3.0x, default: 2.0): Multiplier above average for spike
• Aggressive Ratio (0.5-0.9, default: 0.65): Close position in range for aggressive orders
• Velocity Threshold (1.0-5.0 ATR, default: 2.0): ATR-normalized move for exhaustion
• MPI Extreme (0.5-0.95, default: 0.7): Level considered overbought/oversold
⚖️ Weights:
• Divergence: 3.0 (highest — pressure weakening)
• Liquidity: 2.5 (second — stop hunts)
• Order Flow: 2.0 (institutional positioning)
• Velocity: 1.5 (momentum exhaustion)
• Wick: 1.5 (rejection patterns)
• Volume: 1.0 (lowest — can be manipulated)
🎚️ Thresholds:
• Premium (4.0-15.0, default: 6.0): Score for DIV/LIQ/OF signals
• Standard (2.0-8.0, default: 4.0): Score for STD signals
• Warning Confluence (1-4, default: 2): Factors for yellow diamond warnings
🧬 Adaptive:
• Enable (true/false, default: true): Master learning switch
• Warmup Trades (5-100, default: 30): Data collection before adaptation
• Lookback (20-200, default: 50): Recent trades for performance calculation
• Adapt Speed (0.05-0.50, default: 0.15): Parameter adjustment rate
• Target Win Rate (30-70%, default: 45%): Optimization goal
• Target R-Multiple (0.5-5.0, default: 1.5): Risk/reward goal
💼 Position:
• Base Risk (0.1-10.0%, default: 1.5%): Equity risked per trade
• Max Contracts (1-100, default: 10): Hard position limit
• DIV Bonus (1.0-3.0x, default: 1.5): Size multiplier for divergence signals
• LIQ Bonus (1.0-3.0x, default: 1.3): Size multiplier for liquidity signals
🛡️ Stops:
• Mode (Structural/ATR/Hybrid, default: ATR): Stop placement method
• ATR Multiplier (0.5-5.0, default: 2.0): Stop distance in ATRs (adapts)
• Breakeven at (0.3-3.0R, default: 1.0R): When to move stop to entry
• Trail Trigger (0.5-5.0R, default: 1.5R): When to activate trailing
• Trail Offset (0.3-3.0R, default: 0.8R): Distance behind price
🎯 Targets:
• Mode (Fixed/Adaptive, default: Fixed): Target placement method
• TP1 (0.5-10.0R, default: 2.0R): First target for partial exit
• TP2 (1.0-15.0R, default: 4.0R): Final target (adapts in adaptive mode)
• Partial % (0-100%, default: 50%): Position percentage to exit at TP1
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PROFESSIONAL USAGE PROTOCOL
Phase 1: Paper Trading (Weeks 1-4)
• Setup: Default settings, all adaptive features ON, 0.5% base risk
• Goal: 30+ trades for warmup, observe MPI behavior and signal frequency
• Adjust: MPI sensitivity if stuck near neutral or always at extremes
• Threshold: Raise/lower if too many/few signals
Phase 2: Micro Live (Weeks 5-8)
• Requirements: WR >43%, at least one type >55%, Avg R >0.8
• Setup: 10-25% intended size, 0.5-1.0% risk, 1 position max
• Focus: Execution quality, match dashboard performance
• Journal: Screenshot every signal, track outcomes
Phase 3: Full Scale (Month 3+)
• Requirements: WR >45% over 50+ trades, Avg R >1.2, drawdown <15%
• Progression: Months 3-4 (1.0-1.5% risk), 5-6 (1.5-2.0%), 7+ (1.5-2.5%)
• Maintenance: Weekly dashboard review, monthly deep analysis
• Warnings: Reduce size if WR drops >10%, consecutive losses >7, or drawdown >20%
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DEVELOPMENT INSIGHTS
The Pressure Insight: Emerged from analyzing intrabar volume distribution. Within every candlestick, volume accumulates at different price levels. MPI deconstructs this to reveal conviction behind moves.
The Confluence Challenge: Early versions using MPI extremes alone achieved only 42% win rate. The seven-factor confluence system emerged from testing which combinations produced reliable reversals. Divergence + liquidity sweep became the strongest setup (68% win rate in isolation).
The Adaptive Breakthrough: Per-signal-type performance tracking revealed DIV signals winning at 71% while OF signals languished at 38%. Adaptive filtering disabled weak types automatically, recovering win rate from 39% to 54% during the 2022 volatility spike.
The Position Sizing Revelation: Dynamic sizing based on signal quality and recent performance increased Sharpe ratio from 1.2 to 1.9 while decreasing max drawdown from 18% to 12% over 500 trades. Bigger positions on better signals = geometric edge amplification.
The Risk Control Lesson: Testing with $50K accounts revealed catastrophic failure modes: daily loss cascades, overtrading commission bleed, weekend gap blowouts. Multi-layer controls (daily limits, concurrent caps, prop firm protection) became essential.
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LIMITATIONS & ASSUMPTIONS
What This Is NOT:
• NOT a Holy Grail: Typical performance 52-58% WR, 1.3-1.8 avg R, probabilistic edge
• NOT Predictive: Identifies high-probability conditions, doesn't forecast prices
• NOT Market-Agnostic: Best on liquid auction-driven markets (futures, forex, major crypto)
• NOT Hands-Off: Requires oversight for news events, gaps, system anomalies
• NOT Immune to Regime Changes: Adaptive engine helps but cannot predict black swans
Critical Assumptions:
1. Volume reflects intent (valid for regulated markets, violated by wash trading)
2. Pressure extremes mean-revert (true in ranging/exhaustion, fails in paradigm shifts)
3. Stop hunts exist (valid in liquid markets, less in thin/random walk periods)
4. Past patterns persist (valid in stable regimes, fails when structure fundamentally changes)
Works Best On: Major futures (ES, NQ, CL), liquid forex pairs (EUR/USD, GBP/USD), large-cap stocks, BTC
Performs Poorly On: Low-volume stocks, illiquid crypto pairs, news-driven headline events
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RISK DISCLOSURE
Trading futures, forex, and leveraged instruments involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. This strategy is provided for educational purposes only and should not be construed as financial advice.
The adaptive engine learns from historical data—there is no guarantee that past relationships will persist. Market conditions change, volatility regimes shift, and black swan events occur. No strategy can eliminate the risk of loss.
Users must validate performance on their specific instruments and timeframes before risking capital. The developer makes no warranties regarding profitability or suitability. Users assume all responsibility for trading decisions and outcomes.
"The market doesn't care about your indicators. It only cares about pressure—who's willing to pay more, who's desperate to sell. Find the exhaustion. Trade the reversal. Let the system learn the rest."
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Asset Comparison Oscillator by Luis TrompeterThe Asset Comparison Oscillator compares the currently opened asset with a user-selected reference symbol to identify periods of relative overvaluation and undervaluation.
The concept is based on the idea that markets constantly seek fair value. When an asset becomes mispriced relative to a meaningful benchmark, it often moves back toward equilibrium.
This indicator measures that relationship and transforms it into an easy-to-read oscillator:
• Green Zone (Undervalued) – The selected asset is undervalued compared to the reference symbol.
This reflects potential upward pressure as markets tend to correct undervaluation over time.
• Red Zone (Overvalued) – The asset is overvalued relative to the reference symbol.
This may indicate a higher likelihood of downward movement as price seeks rebalancing.
Users can set any reference instrument they consider relevant—commodities, indices, currency pairs, or other assets. The oscillator quantifies the valuation difference based on a configurable cycle length.
The recommended setting is Cycle = 10, which provides a balanced and responsive signal structure.
Since this indicator relies on broader valuation dynamics, it is designed to be used exclusively on the daily timeframe. Lower timeframes may not reflect true fundamental value relationships.
The Asset Comparison Oscillator helps traders identify when an asset appears cheap or expensive relative to another, offering an additional layer of fundamental context to support directional trading decisions.
stochastic supper trendstocastic supper trend channel based on sk trading system with dynamic od os lines changing color
Multi-Endeks KAMA & RSI Stratejisi v6 (Long & Short)Multi-Index KAMA & RSI Strategy v6 (Long & Short)
This is a hybrid trading strategy that combines two powerful technical analysis tools—the Kaufman's Adaptive Moving Average (KAMA) for trend following and the Relative Strength Index (RSI) for measuring momentum and identifying overbought/oversold conditions.
The term "Multi-Index" suggests that the decision-making process might incorporate data or conditions from several different market indices or timeframes, rather than just the single asset being traded.
🧭 Core Components
1. KAMA (Kaufman's Adaptive Moving Average)
KAMA is an adaptive moving average developed by quantitative financial theorist Perry J. Kaufman.
Adaptivity: Unlike standard moving averages, KAMA automatically adjusts its smoothing factor (speed) based on market volatility.
Mechanism:
Trending Markets (Low Noise): When prices move clearly in one direction (low volatility), KAMA speeds up, hugging the price closely and providing fast signals.
Sideways Markets (High Noise): When prices are choppy (high volatility/noise), KAMA slows down, smoothing out price fluctuations to reduce the risk of whipsaws (false signals).
Role in Strategy: To define the main trend direction. The position of the price relative to the KAMA line determines the base directional bias (Long or Short).
2. RSI (Relative Strength Index)
RSI is a momentum oscillator developed by J. Welles Wilder Jr. that measures the speed and change of price movements.
Overbought/Oversold: It oscillates between 0 and 100. Conventionally, a reading above 70 suggests overbought conditions (potential sell signal), and a reading below 30 suggests oversold conditions (potential buy signal).
Role in Strategy: Timing and Confirmation. Once the trend is confirmed by KAMA, the RSI acts as a timing filter, often confirming an entry as it moves away from extreme overbought (for Short) or oversold (for Long) levels.
📉 Potential Trading Logic (V6)
This "v6" strategy likely aims to capture more reliable entries by requiring both trend (KAMA) and momentum (RSI) alignment:
1. LONG (Buy) Entry Conditions
Trend Confirmation (KAMA): The asset's price (Closing Price) must be above the KAMA line (confirming an uptrend).
Momentum Confirmation (RSI):
Option A (Reversal): The RSI must cross above the 30 level (exiting oversold) or decisively move above the 50 level.
Option B (Trend-Continuation): In a strong uptrend, the RSI might bounce off the 40-50 zone and turn upwards, confirming trend continuation.
2. SHORT (Sell) Entry Conditions
Trend Confirmation (KAMA): The asset's price (Closing Price) must be below the KAMA line (confirming a downtrend).
Momentum Confirmation (RSI):
Option A (Reversal): The RSI must cross below the 70 level (exiting overbought) or decisively move below the 50 level.
Option B (Trend-Continuation): In a strong downtrend, the RSI might be rejected from the 50-60 zone and turn downwards, confirming continuation.
3. Exit Management
The strategy likely utilizes dynamic risk controls:
Stop-Loss: A dynamic stop placed on the opposite side of the KAMA, or an ATR-based distance to adjust to volatility.
Take-Profit: Conditions such as the RSI reaching extreme levels or the KAMA line being crossed in the reverse direction.
🌟 Implication of the "V6" Version
The "v6" designation implies that the strategy has been refined and iterated upon over time to address weaknesses in prior versions (v1, v2, etc.). These improvements might include:
Filters: Adding stricter RSI or KAMA cross filters to reduce false signals.
Multi-Index Logic: Using the RSI or KAMA of a secondary instrument (e.g., a major index or volatility measure) as a macro filter for the main trade execution.
Optimization: Optimizing the default lookback periods for KAMA and RSI for different asset classes.
