EMA 9 & 26 Crossover by SN TraderEMA 9 & 26 Crossover by SN Trader – Clean Trend Signal Indicator |
The EMA 9 & 26 Cross (+ Marker) indicator is a lightweight and effective trend-direction and momentum-shift tool that visually marks EMA crossover events using simple “+” symbols placed directly above or below price candles.
This indicator is ideal for scalping, intraday trading, and swing trading across Forex, Crypto, Stocks, Indices, and Commodities.
🔹 Indicator Logic
EMA 9 (Green) → Fast momentum
EMA 26 (Red) → Trend direction
🟢 Green “+” (Below Candle)
Appears when EMA 9 crosses ABOVE EMA 26
Indicates bullish momentum or trend continuation
🔴 Red “+” (Above Candle)
Appears when EMA 26 crosses ABOVE EMA 9
Indicates bearish momentum or potential trend reversal
📈 How to Use
✔ Look for Green “+” for bullish bias
✔ Look for Red “+” for bearish bias
✔ Trade in the direction of higher-timeframe trend
✔ Combine with RSI, UT Bot, VWAP, MACD, Support & Resistance for confirmation
✅ Best For
Trend identification
Momentum confirmation
Scalping & intraday entries
Swing trade timing
Multi-timeframe analysis
⚙️ Features
✔ Clean & minimal design
✔ Non-repainting crossover signals
✔ Works on all timeframes & markets
✔ Pine Script v6 compliant
✔ Beginner & professional friendly
⚠️ Disclaimer
This indicator is for educational purposes only and does not provide financial advice. Always use risk management and additional confirmation before trading.
Médias Móveis
KI Power signaleManus Machiene Learning Beast – Indicator Description
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
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Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
EMA 9 & 26 Crossover By SN TraderEMA 9 & 26 Crossover – Trend & Momentum Indicator For Scalpers
The EMA 9 & EMA 26 Crossover Indicator is a simple yet powerful trend-following tool designed to identify high-probability buy and sell signals based on short-term and medium-term momentum shifts.
This indicator is widely used by scalpers, intraday traders, and swing traders across Forex, Crypto, Stocks, Indices, and Commodities.
🔹 Indicator Logic
EMA 9 (Green) → Fast momentum
EMA 26 (Red) → Trend direction
BUY Signal
When EMA 9 crosses above EMA 26
Indicates bullish momentum and possible trend reversal or continuation
SELL Signal
When EMA 9 crosses below EMA 26
Indicates bearish momentum and potential downside movement
Clear BUY / SELL labels are plotted directly on the chart for easy visual confirmation.
📈 How to Trade Using This Indicator
✔ Enter BUY trades after EMA 9 crosses above EMA 26
✔ Enter SELL trades after EMA 9 crosses below EMA 26
✔ Use higher timeframes (15m, 1H, 4H) for stronger signals
✔ Combine with RSI, MACD, UT Bot, VWAP, Support & Resistance for confirmation
✅ Best Use Cases
Trend reversal identification
Momentum-based entries
Scalping & intraday strategies
Swing trading trend confirmation
Works on all timeframes
⚙️ Features
✔ Lightweight & fast
✔ Beginner-friendly
✔ Non-repainting signals
✔ Pine Script v6 compatible
✔ Clean visual design
⚠️ Disclaimer
This indicator is for educational purposes only and should not be considered financial advice. Always apply proper risk management and confirm signals with additional analysis.
EMA SMA LinesThis script draws 3 EMA lines and 2 SMA lines and each line has label attached to it. It is configurable.
EMA 5/9/21/50/200 + VWAP + Supertrend singhsinnerBest for Intraday and positional. no need to add other indicators. extremely strong trend price move with 5ema, for rentry see 21ema as support. 9 & 21 cross above for fresh entry n cross down for exit. 5ema for early entry
MoonRush V2📌 MoonRush V2 – Trend, EMA, ATR & RSI Toolkit
MoonRush V2 is a technical analysis indicator designed to help traders visualize
market trend, volatility-based price zones, RSI extremes, and trade planning levels
by combining multiple analytical tools into a single, configurable indicator.
This indicator is for educational and analytical purposes only.
It does not provide financial advice or guarantee trading results.
🔹 1. EMA Trend System
MoonRush V2 uses a dual EMA system as its primary trend detection method:
Fast EMA (default: 38)
Slow EMA (default: 62)
Optional EMA smoothing to reduce market noise
Trend Definition
Bullish Trend: Fast EMA crosses above Slow EMA
Bearish Trend: Fast EMA crosses below Slow EMA
If no crossover occurs, the previous trend state is maintained
The indicator can optionally:
Color EMA lines
Color price bars
Apply background shading
Fill the area between EMAs
All visual elements can be enabled or disabled via the ALL SWITCH panel.
🔹 2. Trend Visualization
To improve chart readability:
Green color represents bullish conditions
Red color represents bearish conditions
“BULL” and “BEAR” labels appear on EMA crossovers
This allows traders to quickly identify the prevailing market direction.
🔹 3. River System (ATR-Based Zones)
The River System is a volatility-based price zone framework built using:
An EMA as the central reference line
Long-period ATR to reflect broader market volatility
The system generates:
Support levels: S1 / S2 / S3
Resistance levels: R1 / R2 / R3
These levels are displayed as filled zones:
Green zones indicate support areas
Red zones indicate resistance areas
They are intended to highlight areas where price may react or consolidate.
🔹 4. RSI Extreme Visualization
MoonRush V2 integrates RSI analysis to identify extreme market conditions:
Multiple Oversold levels (e.g., 20 / 30 / 40)
Multiple Overbought levels (e.g., 60 / 70 / 80)
When RSI reaches extreme values:
Diamond and circular markers appear
Signals are aligned with outer River levels (S3 / R3)
This helps visualize potential exhaustion or pullback zones.
🔹 5. Overbought / Oversold Area Boxes
When RSI remains:
Above the Overbought threshold → a red price box is drawn
Below the Oversold threshold → a green price box is drawn
These boxes dynamically expand based on price highs and lows,
highlighting price regions associated with RSI extremes directly on the chart.
🔹 6. Multi-Timeframe Trend Dashboard
A built-in table displays trend and RSI information across multiple timeframes:
Chart timeframe
1m / 5m / 15m / 30m
1h / 4h / 1D
For each timeframe, the table shows:
Trend direction (Bullish / Bearish) based on EMA alignment
RSI value
Color coding:
Green background = RSI above 50
Red background = RSI below 50
This feature supports top-down and multi-timeframe analysis.
🔹 7. Entry Reference (EMA Crossover)
Reference signals are generated when:
EMA crossover occurs → BUY reference
EMA crossunder occurs → SELL reference
These signals are visual references only and are not automated trade orders.
🔹 8. TP / SL Projection (ATR-Based)
The indicator can project potential trade management levels using ATR:
Entry reference price
Take Profit levels (TP1 / TP2 / TP3)
Optional Stop Loss level
All levels are volatility-adjusted and extend forward on the chart
to assist with risk and reward planning.
🔹 9. Event & Statistics Table
MoonRush V2 includes an informational event table that tracks:
Number of signals generated per day
Win / Loss outcomes (based on TP or SL interactions)
Daily win rate
Drawdown of the most recent signal
Maximum drawdown for the day
The data resets automatically each day
and is displayed as a readable message table on the chart.
⚠️ Disclaimer
MoonRush V2 is a technical analysis tool for educational use only.
It does not constitute financial advice or investment recommendations.
Users should test, adjust parameters, and manage risk according to their own strategy.
EMA 9 / 15 / 20 / 26EMA 9 / 15 / 20 / 26 – Multi EMA Trend Indicator (Pine Script v6)
This indicator plots four Exponential Moving Averages (EMAs) — 9, 15, 20, and 26 — on the price chart to help traders identify trend direction, momentum strength, and dynamic support/resistance zones.
Designed for scalping, intraday trading, and swing trading, this script works across Forex, Crypto, Stocks, Indices, and Commodities on all timeframes.
🔹 EMA Settings & Color Coding
EMA 9 (Red) → Very fast momentum
EMA 15 (Green) → Short-term trend
EMA 20 (Yellow) → Intermediate trend filter
EMA 26 (Blue) → Trend confirmation & pullback zone
📈 How to Use
Bullish Trend
EMA 9 > EMA 15 > EMA 20 > EMA 26
Price holding above EMAs
Buy on pullbacks toward EMA 15 / EMA 20
Bearish Trend
EMA 9 < EMA 15 < EMA 20 < EMA 26
Price below EMAs
Sell on pullbacks toward EMA 15 / EMA 20
Sideways Market
EMAs tangled together
Avoid trades or switch to range strategies
✅ Best Use Cases
EMA crossover confirmation
Trend filtering for scalping strategies
Pullback entries
Support & resistance mapping
Works perfectly with UT Bot, RSI, MACD, VWAP, Price Action
⚙️ Features
✔ Lightweight & non-repainting
✔ Pine Script Version 6 compliant
✔ Works on all symbols & timeframes
✔ Beginner-friendly & professional-grade
⚠️ Disclaimer
This indicator is for educational purposes only. It does not provide financial advice. Always use proper risk management and confirm signals with additional indicators or price action.
Moving Averages - High_Low & Close/ Written by Love Sharma, CMT, CFTe , the concept is to identify when the moving average is rising and that too of highs and lows
//since there are various ways to generate signal from moving average but the high or low of MA has much weight of evidence as we are using the slope
One can just use the slope, or close above/below MA
//THE IDEA IS SIMPLE TO REMAIN RIGHT SIDE OF THE TREND
SQZMOM + Donchian [jakdongjung]📌 Overview
This strategy is designed to capture high-probability "breakout" moves that occur after periods of low volatility. It combines the legendary Squeeze Momentum logic with a 200-period SMA trend filter and uses Donchian Channels for a robust trailing stop-loss.
The core philosophy is simple: Wait for the market to "squeeze" (compress), then enter when volatility expands in the direction of the major trend.
🛠 Key Components
Squeeze Momentum (The Engine): It compares Bollinger Bands (volatility) to Keltner Channels (average range). When Bollinger Bands are inside the Keltner Channels, the market is in a "Squeeze." We enter when the squeeze releases, indicating a surge in momentum.SMA 200 Filter (The Compass): To increase the win rate, the strategy only takes Long trades when the price is above the 200 SMA and Short trades when the price is below it.Donchian Channel (The Guard): Instead of a fixed percentage stop, we use the lowest low (for longs) or highest high (for shorts) of the last $n$ bars. This allows the stop-loss to move dynamically with the market.Smart Risk Management (The Foundation): The strategy automatically calculates your Position Size based on your risk appetite (default 2% of total equity). It looks at the distance to your stop-loss and tells you exactly how much to buy or sell.
📈 Entry Conditions
Long Entry (Buy)Volatility: The "Squeeze" must be releasing (Grey or Blue bars).
Momentum: The Squeeze histogram must be positive (above the zero line).
Trend Filter: The current price must be above the 200 SMA.
Entry Mode: Can be set to "Strict" (only on the first release) or "Any" (anytime the momentum is positive and not in a tight squeeze).
Short Entry (Sell)Volatility: The "Squeeze" must be releasing.
Momentum: The Squeeze histogram must be negative (below the zero line).
Trend Filter: The current price must be below the 200 SMA.
📉 Exit & Stop Loss
LogicTrailing Stop: The strategy uses the Donchian Channel as a trailing exit.
For Longs, the exit is triggered if the price hits the lowest low of the last 20 bars (customizable).For Shorts, the exit is triggered if the price hits the highest high of the last 20 bars.
Visual Aid: The stop-loss levels are plotted on your chart in real-time (Red for Long, Green for Short) only when a position is active, keeping your chart clean.
💰 Money Management Rule
This strategy does not use a "fixed lot" size. It uses Dynamic Position Sizing
🚀 How to use this for study
Observe the "Grey Zone": Notice how the strategy prepares for a move when the dots turn from red to grey.
Trend Alignment: Watch how the 200 SMA prevents "fake-outs" during a counter-trend squeeze.
Backtest: Use the TradingView Strategy Tester to see how the Risk Management protects your capital during losing streaks.
Happy Trading and stay disciplined!
Step Generalized Moving Average [BackQuant]Step Generalized Moving Average
Overview
Step Generalized Moving Average (StepGMA) is a trend-structure moving average designed to solve two common problems with classic MAs:
They overreact to noise in chop, causing constant micro-flips.
They lag too much when you smooth them enough to stop that noise.
StepGMA tackles this by combining two layers:
A Generalized Moving Average (GMA) that increases responsiveness without simply shortening length.
A Step Filter that converts the MA into discrete “steps” sized by ATR, suppressing insignificant movement and only updating when the move is meaningful.
The output is a trend line that behaves more like market structure: it holds its level through noise, then “reprices” in chunks when volatility-adjusted movement is large enough.
What the indicator is trying to represent
Instead of showing every tiny MA wiggle, StepGMA tries to represent the idea that:
Most price movement is noise relative to volatility.
Trend only matters when it advances by a meaningful amount.
A good trend line should stay stable until the market forces it to move.
That makes this indicator useful as:
A regime filter (trend vs chop).
A trend-following bias line.
A structure-like dynamic S/R reference.
A signal generator with fewer low-quality flips.
Component 1: Moving Average engine (selectable)
The base smoothing is not fixed. You can choose between multiple MA types:
SMA, EMA, WMA, VWMA: classic smoothing families.
DEMA, TEMA: reduced-lag EMA variants.
T3: smooth yet responsive, good for trend.
HMA: very low lag, can be twitchy without filtering.
ALMA: center-weighted smoothing, often “cleaner” visually.
KAMA: adaptive smoothing based on efficiency ratio, good in mixed regimes.
LSMA: regression-based, tends to track trend direction well.
McGinley: dynamic smoothing designed to reduce lag during fast moves.
This matters because the StepGMA is not “one MA.” It is a framework that lets you pick the underlying smoothing behavior, then applies the generalization and step logic on top.
Component 2: Generalized Moving Average (GMA)
Where the idea comes from
Generalized MA here is essentially a form of two-stage smoothing compensation . A common trick in signal processing and technical analysis is:
Apply a smoother once (MA1).
Apply it again (MA2).
Use MA2 as a “lag reference,” then combine MA1 and MA2 to reduce lag while keeping smoothness.
This is related in spirit to reduced-lag filters (like DEMA/TEMA) and “zero-lag” style constructions that subtract part of the lag component. You are not magically removing lag, you are biasing the output toward the first-pass MA while subtracting some of the second-pass smoothing that represents delayed response.
How this script does it
It computes:
ma1 = MA(src, len)
ma2 = MA(ma1, len)
Then combines them using a volume factor (vf):
generalized = ma1 * (1 + vf) - ma2 * vf
Interpretation:
ma2 is a “more delayed” version of ma1.
Subtracting vf * ma2 and adding (1+vf) * ma1 pushes the output toward responsiveness.
vf controls how aggressive that push is.
Volume Factor (vf) is really an aggressiveness knob
The script clamps vf between 0.01 and 1.0 to keep it stable. Conceptually:
Low vf: behaves closer to a normal MA1, smoother, more lag.
High vf: more compensation, faster response, more risk of overshoot or noise sensitivity (which is then handled by the step filter).
So the GMA stage tries to give you a cleaner, faster trend estimate without just shrinking the MA period.
Component 3: Step Filter (the key behavior)
What a step filter is
A step filter turns a continuous signal (here, the generalized MA) into a discrete “staircase” signal. Instead of updating every bar, it updates only when the input has moved far enough to justify a new step.
This is conceptually similar to:
A quantizer in signal processing (rounding changes to discrete increments).
A volatility threshold filter (ignore changes smaller than X).
Market structure logic where levels matter more than micro movement.
How it works in this script
The filter maintains a persistent value: stepped .
Each bar:
diff = src - stepped
If |diff| < stepSize, do nothing (hold the level).
If |diff| >= stepSize, move stepped by a number of step increments.
The step increment size is:
stepSize = (stepMult / 100) * ATR(atrPeriod)
This is critical:
In higher volatility, ATR is larger, so steps are larger, fewer updates, more stability.
In lower volatility, ATR is smaller, so steps are smaller, more updates, more sensitivity.
So the step behavior automatically adapts to volatility.
Multiple-step catching behavior
If price jumps far beyond one step, the script does not move only one step. It moves by:
floor(|diff| / stepSize) * stepSize
So it “catches up” in discrete blocks, preserving the stepped character without lagging massively after large moves.
Direction and regime
Direction is determined by the stepped line, not the raw MA:
direction = +1 if steppedMA is rising
direction = -1 if steppedMA is falling
otherwise direction stays the same
Signals only trigger on direction state changes:
Long when direction flips to +1
Short when direction flips to -1
This matters because it prevents repeated signals while the trend remains intact. You only get a signal when the market has moved enough (in ATR terms) to justify a structural step in the opposite direction.
Secondary line and gradient fill
The script also plots a secondary “slow MA” (length 25, same MA type). This is not the core logic, it is a visual context layer:
StepGMA is the structure line (discrete, regime-driven).
Slow MA is a smoother reference for the underlying drift.
The gradient fill highlights separation and dominance.
When StepGMA sits above the slow MA, the fill reinforces bullish bias. When below, it reinforces bearish bias. It is basically a “trend pressure” visual, not a separate signal.
How to interpret it
1) StepGMA as trend structure
Flat steps mean price is not making enough volatility-adjusted progress to move structure.
Up-steps mean the market has advanced enough to reprice the trend line upward.
Down-steps mean deterioration significant enough to reprice structure downward.
2) Direction is a regime, not a tick-by-tick call
Because direction is derived from step changes, it is naturally a regime filter:
Fewer flips in chop.
Clearer regime transitions.
Signals tend to occur later than ultra-fast tools, but with better confirmation quality.
3) Step size controls noise rejection
StepMult is the main “anti-chop” control:
Higher stepMult = bigger ATR steps = fewer updates, fewer signals, more confirmation, slower to react.
Lower stepMult = smaller steps = more updates, more signals, more sensitivity, more chop risk.
4) Generalization controls responsiveness of the underlying trend estimate
vf controls how “fast” the MA tries to be before stepping:
Higher vf makes the MA respond faster to new price information.
Lower vf makes the MA smoother and more conservative.
The step filter then decides whether that change is meaningful enough to matter.
Practical use cases
Trend filter for entries
Only take longs when direction is bullish.
Only take shorts when direction is bearish.
Avoid trades when StepGMA is flat for long periods, market is not repricing meaningfully.
Dynamic support and resistance
Because the line holds levels, it often behaves like structure:
In uptrends it can act as a rising support reference.
In downtrends it can act as falling resistance.
Signal quality layer
The step-based flip signals tend to be higher quality than basic MA crossovers because they require:
A meaningful volatility-adjusted move.
A confirmed direction change in the stepped trend structure.
Trade management
Use StepGMA as a trailing invalidation reference.
Use direction flips as “hard” regime exits.
Use separation vs slow MA as a “pressure” gauge for scaling decisions.
Tuning guidelines
MA Type
Pick based on the character you want:
T3, ALMA, KAMA are usually good defaults for clean trend representation.
HMA/LSMA are faster but may need larger stepMult to avoid twitch.
SMA is slow and stable but can be too laggy unless vf is increased.
MA Period
Sets the base smoothing horizon. Longer periods give “macro trend,” shorter periods give “tactical trend.”
Volume Factor (vf)
Sets responsiveness compensation:
0.05–0.25 is usually sensible.
Higher than that can get aggressive, step filter will save you, but your steps may fire more often.
ATR Period and StepMult
These define your structure sensitivity:
ATR Period controls how stable the volatility estimate is.
StepMult controls how large a move must be to change structure.
If you want fewer flips, increase StepMult or ATR Period. If you want quicker reaction, lower StepMult or ATR Period.
What this indicator is and is not
It is:
A trend structure MA that ignores sub-threshold noise.
A regime tool that uses volatility-adjusted repricing logic.
A configurable framework that works across assets and timeframes.
It is not:
A predictive reversal tool.
A scalping signal machine.
A replacement for risk management.
Summary
Step Generalized Moving Average combines a lag-compensated moving average (generalization via MA1/MA2 blending) with a volatility-scaled step filter (ATR-based quantization). The result is a stable, structure-like trend line that updates only when price movement is meaningful relative to volatility, producing cleaner regimes, fewer chop flips, and clearer trend bias than conventional moving averages.
InvestomThis system generates buy and sell signals based on the momentum in stock prices. The principle is straightforward:
- Buy when a buy signal is triggered.
- Sell when a sell signal is triggered.
Momentum strategies are designed to capture trends by following the direction of price movement. However, it is important to exercise caution:
- In non-trending or sideways markets, momentum signals can become unreliable.
- Frequent false signals in such conditions may lead to rapid capital erosion due to repeated entries and exits.
Therefore, while momentum-based trading can be highly effective in trending markets, traders must remain vigilant and apply risk management techniques to protect their capital when markets lack clear direction.
Accurate Swing Trading + Support Resistance MTF (EN)Swing trading setup based on volume and support restistance. use buy main signal for large trend change and for swing trade use buy
Adaptive Trend Checklist (EMA + Supertrend + ADX)Adaptive Trend Checklist is a market context and validation tool designed for discretionary traders who prioritize structure, risk control, and trade quality over aggressive signal chasing.
The script combines EMA, Supertrend, and ADX, with optional multi-timeframe (HTF) confirmation, to provide a clear view of market conditions before entering a trade.
This is not a signal-spamming indicator.
It is a visual checklist that helps identify when to trade, when to reduce risk, and when to stay out of the market.
🔹 Key Features
🔁 Automatic timeframe adaptation
Parameters (EMA, ATR, ADX, Supertrend) automatically adjust based on the current chart timeframe.
🧠 Trend & range filtering
Uses ADX and price structure to filter out ranging and low-probability market conditions.
⏱️ Multi-timeframe market context (optional)
Confirms directional bias using higher timeframes.
🧮 Risk classification
Trades are classified as:
NORMAL
REDUCED
NO TRADE
📋 Clear visual checklist
Displays in real time:
trading mode,
trend status,
ADX condition,
market session,
recommended risk level.
🎯 Integrated trade management
Automatically plots:
Entry
Stop Loss
Take Profits (TP1, TP2, TP3)
Position size in dollars based on selected risk.
🚫 No repaint
🚫 No signal spam
🚫 No win-rate promises
⚠️ Important Notice
This script is not intended for fully mechanical or automated trading.
It is designed as a decision-support tool for traders who understand market structure, context, and risk management.
Performance depends on:
market conditions,
timeframe,
and trader discipline.
👤 Who Is This For?
✔️ Discretionary traders
✔️ Scalpers & intraday traders seeking better filters
✔️ Swing traders needing HTF context
❌ Not recommended for blind signal following
📎 Usage Recommendation
Use it as a primary market filter, not as a standalone signal.
Combine it with your own entry criteria.
Phoenix2.0's 2 EMA CrossThis indicator plots a dynamic 8 EMA vs 21 EMA ribbon with color-changing trend shading, plus optional VWAP, EMA108 (direction filter), and an EMA16 exit guide.
It triggers alerts on bull/bear EMA crossovers and flags low-separation “chop zones” to help avoid noisy entries, while showing a small table with EMA/close distance stats.
White Core Trend [wjdtks255]
White Core Trend is a trend-following indicator designed to strip away market noise and visualize the "Core Trend" of price action. It focuses on the essential relationship between price and a dynamic baseline to provide clear trading decisions.
White Core Line: Built on a responsive HMA (Hull Moving Average) logic, this line acts as the definitive trend filter. It reacts swiftly to price changes while maintaining a smooth trajectory to reduce false signals.
Intuitive Visual Signals: The indicator identifies trend exhaustion and reversal points by plotting triangle labels (▲/▼). These signals help traders maintain discipline and avoid emotional decision-making.
Minimalist Design: Optimized for clarity, the indicator eliminates unnecessary clutter like background colors or complex data overlays, keeping the focus strictly on the trend and entry levels.
As a core technical tool, this indicator is used to identify the market's direction and establish precise entry/exit benchmarks.
1. Entry Strategy
Long Entry: Enter when the price crosses above the White Core Line and a green triangle appears.
Short Entry: Enter when the price crosses below the White Core Line and a red triangle appears.
Note: Ensure the candle body closes decisively across the line to confirm the signal.
2. Position Management
Trend Following: Stay in the trade as long as the price remains on the correct side of the White Core Line.
Reference Point: Use the horizontal white "Entry" line as a visual anchor for your current position.
3. Exit & Stop Loss
Stop Loss: Exit immediately if the price crosses back over the White Core Line against your position.
Take Profit: Secure profits when the price reaches your target or when the trend starts to flatten out (sideways movement) near the core line.
Bull/Bear Volume DiagramOverview
This indicator displays trading volume in a mirrored diagram that separates bullish and bearish activity. Bullish candle volume is plotted above the center line, while bearish candle volume is plotted below it. This layout helps visualize market participation and directional pressure in a more intuitive way than traditional volume histograms.
How It Works
The indicator evaluates each candle and determines whether it is bullish or bearish based on its open and close prices:
If the candle closes above its open, its volume is plotted upward.
If the candle closes below its open, its volume is plotted downward.
Each side is color-coded independently to clearly distinguish buying and selling pressure.
Additionally, the indicator calculates a moving average of volume separately for bullish and bearish candles. These averages help identify trends in directional volume strength and allow traders to compare buyer versus seller dominance over time.
Features
Mirrored bullish and bearish volume visualization
Independent color customization for bullish and bearish volume
Directional volume moving averages
Clear separation of buying and selling activity
Lightweight and responsive calculation
How To Use
This indicator can help traders:
Identify which side of the market is dominating volume
Detect shifts in buying or selling pressure
Compare momentum between bullish and bearish participation
Observe volume trends more clearly than with standard volume bars
Notes
Volume is classified using candle direction, not order flow or tick data.
Results may vary depending on timeframe and market type.
This indicator is intended as a visual analysis tool and should be combined with other technical analysis methods.
MT360MT360 – Multi-Timeframe EMA 360 Trend Overview
MT360 is a clean and powerful multi-timeframe indicator based on the EMA 360, designed to give you an instant overview of market direction across multiple timeframes.
The indicator calculates the EMA 360 simultaneously for M1, M2, M5, M15, M30, H1, H4, and D1 and dynamically colors each EMA line depending on whether price is trading above or below it. This makes it easy to instantly identify bullish and bearish conditions across different timeframes.
Key features:
🟢🔴 Dynamic color changes per timeframe (fully customizable)
🏷️ Optional labels displayed directly on each EMA line
📊 LONG/SHORT table showing the trend status of all timeframes at a glance
🎛️ Extensive customization options (colors, position, transparency, text size)
👁️ Master toggle to quickly show or hide labels and the table
MT360 is ideal for:
Trend filtering for day trading and scalping
Quick multi-timeframe market analysis
Supporting directional bias decisions (LONG vs. SHORT)
⚠️ Disclaimer:
This indicator does not generate trading signals. It is intended purely for trend and market structure analysis. Use at your own risk.
Poseidon [hide System]English Description
Poseidon Ultimate Fix is a sophisticated hybrid trading strategy designed to adapt seamlessly to changing market conditions. Its core strength lies in its ability to automatically distinguish between trending and ranging markets using the Hybrid Logic Engine, which relies on the Average Directional Index (ADX). When the market shows strong directional momentum (ADX > 25), the system activates Trend Mode. In this phase, it utilizes a Supertrend-based logic to follow the market flow, entering trades on breakouts and holding positions until the trend reverses, thereby maximizing profit potential during volatile periods.
Conversely, when volatility is low and the market lacks clear direction (ADX ≤ 25), the system switches to Range Mode. Here, it employs Bollinger Bands to execute mean reversion strategies, buying at the lower band and selling at the upper band to capture smaller, consistent gains within the consolidation. A critical safety feature of this system is its Emergency Escape protocol. If a sudden surge in volatility occurs while a range position is open—threatening a breakout against the trade—the system immediately liquidates the position and switches to a trend-following entry. This mechanism effectively neutralizes the risk of catastrophic losses often associated with reversal strategies during market explosions. Furthermore, the Precise Accounting feature ensures that the dashboard metrics, including Profit Factor and Win Rate, are calculated based on real-time equity changes, providing an accurate reflection of the system's performance without mathematical discrepancies.
日本語による説明
Poseidon Ultimate Fix は、刻々と変化する相場環境に完全適応するために設計された、高度なハイブリッド型トレードシステムです。このシステムの最大の特徴は、ADX(平均方向性指数)を用いたハイブリッド・ロジック・エンジンにあります。これにより、相場が「トレンド状態」にあるか「レンジ状態」にあるかを自動的かつ正確に判別します。強い方向感が出ている局面(ADXが25以上)では、システムは即座にトレンドモードを選択します。ここではスーパートレンド指標に基づいた順張りロジックが作動し、トレンドの発生に合わせてエントリーを行い、相場が反転するその瞬間までポジションを保有し続けることで、利益の最大化を狙います。
一方で、相場の方向感が失われ、ボラティリティが低下した局面(ADXが25以下)では、システムはレンジモードへと切り替わります。このモードではボリンジャーバンドを活用した逆張り戦略を展開し、バンドの下限で買い、上限で売ることで、ボックス相場の中から着実に利益を積み上げます。さらに、このシステムには**緊急脱出機能(エマージェンシー・エスケープ)**という重要な安全装置が搭載されています。もしレンジ逆張りポジションを保有中に突発的な暴騰や暴落が発生した場合、システムは即座に損切りを行い、間髪入れずにトレンド方向への順張りエントリーに切り替えます。これにより、レンジ手法特有の「コツコツ勝ってドカンと負ける」リスクを排除します。加えて、完全な会計処理機能により、ダッシュボード上の勝率やプロフィットファクターは実際の口座残高の増減と1円の狂いもなく一致し、極めて信頼性の高いパフォーマンス分析を提供します。
Varma's Trend Indicator (Advanced Multi-Filter Swing)It is an advanced trend-following indicator that uses smoothed Heikin-Ashi data instead of raw price to filter market noise and highlight high-quality trends.
The script calculates a normalized Trend Score (-100 to +100) based on the strength of the Heikin-Ashi candle body relative to its range, giving a clear view of momentum quality—not just direction.
Key Features
Heikin-Ashi trend engine with EMA/ALMA/ZLEMA smoothing
Multi-filter confirmation: Slope, ATR volatility, Dead-Zone, HTF momentum proxy, ADX/DI, and RSI
Two-stage signals:
BUY / SELL → early swing detection
BUY✔ / SELL✔ → momentum-confirmed entry
Color-coded trend ribbon (Green = Bullish, Red = Bearish)
Best Use
Designed for trending markets (Forex sessions, indices, high-volume stocks).
Lagging by design—focuses on probability and trend quality, not scalping.
Tip: If the ribbon flips often, enable the Dead-Zone or ADX filter to avoid sideways markets.
Nealer EMAMy EMA setup uses a stacked configuration of 8 / 21 / 55 / 244 periods, designed to capture short-, medium-, and long-term market trends simultaneously. This multi-layered approach provides clear visual cues for trend direction, support and resistance levels, and dynamic market momentum. I also have the option to overlay an anchored VWAP on an as-needed basis, which adds a context-specific reference point for price action, enhancing trade precision and decision-making. The combination of stacked EMAs and optional VWAP allows for both trend-following strategies and more tactical, volatility-aware entries and exits.
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