EMA 5/9 Angle + Candle Strength (SL=Open, TP=RR)EMA 5 / EMA 9 cross
Cross must have ~30° angle (approximated using slope → atan)
Entry candle must be bullish/bearish and also be Normal / 2nd Most / Most based on body-size percentile
Entry = close of signal candle
SL = open of signal candle
TP = 1:2 RR (editable input)
المتوسطات المتحركة
Hammer/Inv Hammer + ema and other settings + stratok, so thrown everything at this one as the previous only had longs.
so we have all the options, but main feature is the ema to divide up the longs and short, shorts above, longs below, we all know price ends up back to the ema at some point.
I have added a volume filter, this calculates the average volume from the last "20" candles (which can be adjusted) then when a hammer appears it has to be larger than the average volume to be valid.
Also added trading hours in, if you are switching between RTH and ETH it can cause issue if it enters a position EOD then you get an anomaly trade as we can hold positions past certain times.
Also added some trading strategy, so after 2 wins it wont trade again that day or after 1 loss. you decide.
So much to play with now.
Hybrid Trend-Following Inside Bar BreakoutHybrid Trend-Following Inside Bar Breakout Strategy
The Hybrid Trend-Following Inside Bar Breakout Strategy is a rule-based trading system designed to capture strong directional moves while controlling risk during uncertain market conditions. It combines trend-following, price action, and volatility-based risk management into a single robust framework.
Core Concept
The strategy trades inside bar breakouts only in the direction of the dominant market trend. Inside bars represent periods of consolidation, and when price breaks out of this consolidation in a trending market, it often leads to impulsive moves with favorable risk–reward characteristics.
Key Components
1. Trend Filter
Uses 50 EMA and 200 EMA to define the market trend.
Bullish bias: 50 EMA above 200 EMA
Bearish bias: 50 EMA below 200 EMA
This filter prevents counter-trend trades and improves trade quality.
2. Volatility Filter
Compares fast ATR (14) with slow ATR (50).
Trades are taken only when volatility is expanding or above a minimum threshold.
This avoids low-volatility, choppy market conditions.
3. Inside Bar Breakout
An inside bar forms when the current candle’s high is lower than the previous candle’s high and the low is higher than the previous candle’s low.
A trade is triggered only when price breaks above or below the inside bar range in the direction of the trend.
4. Candle Quality Filter
Requires a minimum body-to-range ratio, ensuring that the breakout candle has strong momentum and is not driven by weak wicks.
Risk Management & Trade Management
Stop Loss (SL)
Placed using ATR-based dynamic stops, adapting to current market volatility.
Prevents tight stops in volatile conditions and wide stops in calm markets.
Partial Profit Taking
50% of the position is exited at 1.5R, locking in profits early.
This reduces psychological pressure and improves equity stability.
Trailing Stop
After partial profit is taken, the remaining position is managed with an ATR-based trailing stop.
Allows the strategy to capture large trend moves while protecting gains.
Cooldown Mechanism
After a losing trade, the system enters a cooldown period and skips a fixed number of bars.
This helps avoid revenge trading and overtrading during unfavorable market phases.
Why This Strategy Works
Trades only high-probability breakouts in trending markets
Adapts automatically to changing volatility
Combines price action precision with systematic risk control
Designed for consistent performance over long historical periods
NQ BB+PS StrategyBollinger Band and ProScalper combined strategy/indicators. Designed to take quick 1:1 Risk to Reward trades. Entry on close of signal bar, set auto SL and TP levels to 50 ticks. If a signal in the opposing direction populates, close open trade and follow current signal or simply reverse positions. There is a "+" Sign above signals that fire in the direction of the current EMA trend signaling an A+ set up. Recommended following the first 4-6 signals of the day prior to 11am before the mid day "chop".
H2 AlgoH2 Algo – Adaptive Market Structure Execution Engine (ES-Optimized)
H2 Algo is a professional-grade market-structure and volatility-adaptive execution framework, purpose-built for E-mini S&P 500 (ES) futures on the 3-minute timeframe.
It is designed for systematic intraday traders who prioritize non-repainting signals, regime awareness, and strict risk governance over indicator stacking.
This is not a single indicator.
H2 Algo is a multi-layer execution engine where trend, volatility, momentum, liquidity, and risk modules interact through a unified decision pipeline
H2-Algo
.
🔍 Core Philosophy
Trade structure, not noise.
Scale aggression when conditions expand.
Defend capital when markets compress.
H2 Algo dynamically adapts between trend expansion, mean reversion, and choppy/range-bound conditions, ensuring execution logic remains forward-safe and bar-close validated.
🧠 Core Components
1️⃣ H2 Market Structure Engine
Zero-Lag EMA (ZLEMA)–based adaptive trend baseline
ATR-normalized dynamic upper & lower structure bands
Slope-based trend angle detection (trend strength & exhaustion)
Fully bar-close confirmed (non-repainting)
2️⃣ Volatility & Regime Detection
ATR normalization & Donchian range expansion tracking
ADX percentile & slope-based momentum confirmation
Choppiness, KER (Efficiency Ratio), and FDI (Fractal Dimension Index) filters
Automatic suppression during low-quality or compressed regimes
3️⃣ Liquidity & Volume Intelligence
Z-Score volume & candle expansion detection
VWAP deviation & mean-reversion awareness
Institutional-style rejection patterns (strong wicks, absorption candles)
Specialized handling for open volatility & pre-market conditions
⚙️ Execution Logic
H2 Algo combines trend-continuation, structure re-entry, and reversal-at-extremes logic, including:
Trend continuation after pullbacks
VWAP reversion with volatility confirmation
Donchian range break & reclaim entries
High-conviction candle + volume expansion triggers
Defensive reversal logic after stop-outs (optional Quick-Reverse)
Each entry is tagged with a unique execution code (e.g., LCR, SCV, LBB, SBM), enabling deep post-trade analytics and performance attribution
H2-Algo
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🛡️ Risk-First Architecture
Fixed + adaptive ATR-based stop-loss logic
Dynamic take-profit adjustment during range compression
Intelligent trailing stop based on peak unrealized profit
Daily max-loss & max-profit enforcement
Friday & overnight exposure control
Profit stagnation and choppy-day exit protection
Risk logic is enforced before entries, not after.
🔄 Hybrid Strategy + Indicator Design
This script can be used in two modes:
Indicator Mode → discretionary execution with visual structure, zones, and signals
Strategy Mode → full TradingView backtesting with identical execution logic
There is no logic divergence between modes.
🕒 Optimized Usage
✔ Instrument: ES (E-mini S&P 500)
✔ Timeframe: 3-Minute
✔ Session: RTH-focused (Chicago time)
✔ Style: Intraday scalping → short swing
While H2 Algo may function on other indices, parameters and execution flow are explicitly tuned for ES microstructure on 3-minute candles.
🚫 Non-Repainting & Data Integrity
No look-ahead bias
No future bar references
All signals confirmed at bar close
Session-aware VWAP and daily resets
Forward-walk-safe regime logic
📊 Who This Is For
✔ ES futures traders
✔ Systematic intraday traders
✔ Traders who value risk control over signal frequency
✔ Users who analyze performance by entry behavior, not just net PnL
⚠️ Disclaimer
This script is a research and execution framework, not financial advice.
Always forward-test and adapt risk parameters to your own tolerance and execution environment.
Author: H2 Algo
Version: v6
Execution Philosophy: Adapt to structure. Defend capital. Let expansion pay.
[Backtest Crypto] Cross MAThis script is designed for testing the moving average crossover strategy.
Script settings:
Select testing range
Indicator settings: Select moving average type (EMA, SMA, WMA, SMMA, HMA) and period
Trade management: Select risk-to-reward ratio, stop-loss defined as min/max for a certain number of candles (you can set a desired number), option to partially lock in a position by moving the stop-loss to breakeven, trailing stop, or close a position on an opposite signal.
Option to limit the stop-loss by ATR to prevent it from becoming too large during volatile movements.
===============================================================
Скрипт предназначен для тестирования стратегии пересечение скользящих средних.
Настройки скрипта:
Выбор диапазона тестирования
Настройки индикатора: выбор типа скользящей (EMA, SMA, WMA, SMMA, HMA) и периода
Сопровождение сделки: выбор соотношения риска к прибыли, стоп-лосс определяется как мин/мах за определенное количество свечей (можно устанавливать желаемое количество), возможность частичной фиксации позиции с переносом стоп-лосса в безубыток, трейлинг-стоп, или закрытие позиции по противоположному сигналу.
Возможность ограничения стоп-лосса по ATR, чтобы при волатильных движениях он не был слишком большим.
Nifty-50 Futures Trading Ideas/ Strategyb]Nifty-50 Futures Trading Ideas is a trend-following strategy designed for study and backtesting .
The strategy identifies directional bias using a structured price-based approach and applies ADX + DI and RSI filters to validate trend strength.
It includes inbuilt risk-management logic such as Stop-Loss, Take-Profit, ATR-based exits, separate maximum loss per trade (₹) for long and short positions, and optional date/session filters.
This script is provided for educational and analytical purposes only and is not a trading signal or investment recommendation.
Velocity SwingtraderThe intended objective of this indicator to gauge trend and momentum and find trades that are at the beginning of a trend change for longer periods of time (days, weeks, months).
ALASMAR NewVersionThis my NewVersion of my startegy. any notification you all welcome
best regards,
Alasmar
New ALASMARThis is an update version of my strategy. You all are welcome for any notifications.
best regards,
Alasmar
Scalping EMA + Pinbar Strategy (London & NY only, BE @ 1R)The scalping trading system uses two types of indicators:
EMA 10, EMA 21, EMA 50
Pinbar Indicator
Rules for entering a buy order:
If the closing price is above the EMA 50, the trend is uptrend and only buy orders should be considered.
The EMA 10 and EMA 21 lines must simultaneously be above the EMA 50.
The price must correct down at least 50% of the area created by the EMA 10 and EMA 21, or correct further down.
A Type 1 Pinbar candle (marked by the Pinbar indicator) must appear; this Pinbar candle must react to at least one of the three EMA lines (EMA 10, EMA 21, EMA 50) and close above the EMA 50.
This Pinbar candle must have a Pinbar strength value (marked by the Pinbar indicator) less than 2 to be considered valid. Check if the closing price of this pinbar candle is higher than the 50-day EMA and if the 10-day and 21-day EMAs are also higher than the 50-day EMA. If so, the conditions have been met and you can begin trading.
Place a buy stop order 0.1 pip higher than the highest price of the pinbar candle, and a stop loss order 0.1 pip lower than the lowest price of the pinbar candle. Set the take profit at 3R.
If the price moves past the previously set stop loss, cancel the pending order.
When the price moves 1R, move the stop loss back to the entry point.
The next trade can only be executed after the previous trade has moved the stop loss back to the entry point.
Rules for placing sell orders:
If the closing price is below the 50-day EMA, the trend is bearish, and only sell orders should be considered. The 10-day and 21-day EMAs must both be below the 50-day EMA.
The price must correct downwards by at least 50% of the area formed by the 10-day and 21-day EMAs, or even further.
A Type 1 pinbar candle (marked by the Pinbar indicator) must appear. This pinbar candle must react to at least one of the three EMAs (EMA 10, EMA 21, EMA 50) and close below the EMA 50.
This pinbar is valid if its strength (indicated by the Pinbar indicator) is less than 2. Verify that the closing price of this pinbar candle is below the EMA 50 and that both the EMA 10 and EMA 21 are below the EMA 50. If all conditions are met, the trade can be executed.
(This appears to be a separate entry rule and not part of the previous text.) Place a sell stop order 0.1 pip below the lowest point of the pinbar candle, and a stop loss order 0.1 pip above the highest point of the pinbar candle. Set the take profit point at 3R.
If the price moves past the previously set stop-loss point, cancel the pending order.
When the price moves 1R, move the stop-loss point back to the entry point.
The next trade can only be executed after the previous trade has moved the stop-loss point back to the entry point.
AlphaGen ME V.15.12AlphaGen ME V.15.10 is an ATR-based trend-following strategy with dynamic trailing stops and EMA filter, designed for automated Crypto perpetual trading.
Core Logic:
• ATR Trailing Stops: Dynamically adjusts stop-loss using ATR(10) × 3.0 multiplier
• 200 EMA Trend Filter: Optional Only takes longs above EMA, shorts below EMA
• Reversal System: Flips positions when trend changes (filter-aware)
• MACD Acceleration Exit: Optional momentum-based profit taking
Position Sizing Modes:
• Simple % of Equity (default 90%) - Safe leverage control
• Risk % of Equity - Fixed risk per trade
• Fixed Contract Size - Consistent lot sizing
Webhook Integration:
Routes signals directly to AlphaGen-AI for execution on:
• Hyperliquid DEX
• AsterDEX
Requirements:
• AlphaGen-AI Pro subscription for webhook routing
• Hyperliquid or AsterDEX Wallets
• TradingView alerts configured with passphrase
Risk Disclosure: Trading involves substantial risk. Past performance does not guarantee future results. Only trade with capital you can afford to lose.
Sinals 15m - RSI 7 e 9This strategy is designed to capture continuation moves on the 15-minute chart by combining trend filters, momentum indicators, and strong-candle confirmation. The core idea is to enter trades shortly after EMA crossovers that signal direction, as long as momentum and candle strength support the move.
[SM-021] Gaussian Trend System [Optimized]This script is a comprehensive trend-following strategy centered around a Gaussian Channel. It is designed to capture significant market movements while filtering out noise during consolidation phases. This version (v2) introduces code optimizations using Pine Script v6 Arrays and a new Intraday Time Control feature.
1. Core Methodology & Math
The foundation of this strategy is the Gaussian Filter, originally conceptualized by @DonovanWall.
Gaussian Poles: Unlike standard moving averages (SMA/EMA), this filter uses "poles" (referencing signal processing logic) to reduce lag while maintaining smoothness.
Array Optimization: In this specific iteration, the f_pole function has been refactored to utilize Pine Script Arrays. This improves calculation efficiency and rendering speed compared to recursive variable calls, especially when calculating deep historical data.
Channel Logic: The strategy calculates a "Filtered True Range" to create High and Low bands around the main Gaussian line.
Long Entry: Price closes above the High Band.
Short Entry: Price closes below the Low Band.
2. Signal Filtering (Confluence)
To reduce false signals common in trend-following systems, the strategy employs a "confluence" approach using three additional layers:
Baseline Filter: A 200-period (customizable) EMA or SMA acts as a regime filter. Longs are only taken above the baseline; Shorts only below.
ADX Filter (Volatility): The Average Directional Index (ADX) is used to measure trend strength. If the ADX is below a user-defined threshold (default: 20), the market is considered "choppy," and new entries are blocked.
Momentum Check: A Stochastic RSI check ensures that momentum aligns with the breakout direction.
3. NEW: Intraday Session Filter
Per user requests, a time-based filter has been added to restrict trading activity to specific market sessions (e.g., the New York Open).
How it works: Users can toggle a checkbox to enable/disable the filter.
Configuration: You can define a specific time range (Default: 09:30 - 16:00) and a specific Timezone (Default: New York).
Logic: The strategy longCondition and shortCondition now check if the current bar's timestamp falls within this window. If outside the window, no new entries are generated, though existing trades are managed normally.
4. Risk Management
The strategy relies on volatility-based exits rather than fixed percentage stops:
ATR Stop Loss: A multiple of the Average True Range (ATR) is calculated at the moment of entry to set a dynamic Stop Loss.
ATR Take Profit: An optional Reward-to-Risk (RR) ratio can be set to place a Take Profit target relative to the Stop Loss distance.
Band Exit: If the trend reverses and price crosses the opposite band, the trade is closed immediately to prevent large drawdowns.
Credits & Attribution
Original Gaussian Logic: Developed by @DonovanWalll. This script utilizes his mathematical formula for the pole filters.
Strategy Wrapper & Array Refactor: Developed by @sebamarghella.
Community Request: The Intraday Session Filter was added to assist traders focusing on specific liquidity windows.
Disclaimer: This strategy is for educational purposes. Past performance is not indicative of future results. Please use the settings menu to adjust the Session Time and Risk parameters to fit your specific asset class.
EMA + ATR Semi-Auto strategy -Kohei Matsumura-EMAとATRを自動調節するストラテジー
This is an EMA- and ATR-based trading strategy that adapts its parameters according to recent market behavior and performance characteristics.
The strategy dynamically adjusts trend sensitivity and risk management settings to maintain robustness across varying market conditions, while operating strictly on confirmed price data.
Hash Ratings EngineHash Ratings Engine - Technical Consensus Strategy
A systematic trading strategy that harnesses TradingView's Technical Ratings to generate high-conviction entries with institutional-grade risk management.
What It Does
This strategy aggregates the consensus of 26+ technical indicators (RSI, MACD, Stochastics, multiple Moving Averages, etc.) into a single actionable signal. When enough indicators align bullish or bearish, the engine triggers an entry. Built-in trend filtering and ATR-based exits keep you on the right side of the market.
Key Features
Trend Filter - Only takes longs in uptrends, shorts in downtrends. This single filter typically improves results by 20-40% by avoiding counter-trend trades.
ATR-Based Risk Management - Stop loss and trailing stops adapt to current market volatility. Tight stops in calm markets, wider stops in volatile conditions.
Cooldown System - After a losing trade, the strategy waits before re-entering. This prevents the consecutive loss streaks that destroy accounts.
Clean Visuals - Fluorescent entry/exit signals with price level references. See exactly where you got in and out.
Settings Guide
Indicator Timeframe: Leave blank for current chart. Use higher timeframe for fewer, higher-quality signals.
Rating Source: "All" for balanced approach. "MAs" for trend-following. "Oscillators" for mean-reversion.
Entry Thresholds
Strong Signal Threshold: Higher = fewer trades but better conviction. Start at 0.5, test 0.4-0.6.
Risk Management
ATR Period: 12 is responsive, 14 is standard, 20+ is smoother.
Stop Loss: 2-3x ATR for tight stops, 3.5-4x for moderate, 5x+ for wide.
Trail Activation: How far price must move in profit before trailing begins.
Trail Offset: How closely the trail follows price.
Trend Filter
EMA Length: 150 works well on 4H charts. Use 100 for lower timeframes, 200 for daily.
Trade Timing
Cooldown: Keep enabled. 5 bars is a good starting point.
Best Practices
Start with default settings and backtest on your preferred instrument. Adjust the Strong Signal Threshold first - this has the biggest impact on trade frequency. Then tune the EMA length to match your timeframe. Finally, optimize the ATR multipliers for your risk tolerance.
Works on any liquid market - crypto, forex, stocks, futures. Higher timeframes (4H, Daily) tend to produce cleaner signals than lower timeframes.
Disclaimer
Past performance does not guarantee future results. Always backtest thoroughly and use proper position sizing. This strategy is for educational purposes - trade at your own risk.
MA Strategy: Dual Entry FilterConfigurable MA Dual-Filter Strategy
This strategy is an enhanced and highly configurable Moving Average (MA) Crossover system designed to mitigate false signals and align trades with the prevailing market trend. It is built to offer traders granular control over entry criteria, elevating it beyond basic, built-in MA crossover indicators.
Originality & Key Features
The script's originality and utility lie in the combination of its two primary, optional filtering mechanics:
Dual Entry Mode (Key Filter): Users can choose between two distinct methods for trade entry:
Crossover (Classic): Immediate entry when the price crosses the main MA.
Full Candle Confirmation (Unique Feature): This mode requires the entire candle body (open, high, low, and close) to be completely above or below the main MA after a crossover event to confirm the signal before entry. This strict confirmation helps to filter out weak crossovers, reducing whipsaws in choppy markets.
Optional Trend Filter: A second, slower MA (Trend Filter MA) can be activated. Trades are only permitted when the faster main MA is aligned with the slower Trend MA (i.e., long only if main MA > Trend MA), ensuring trades are executed with the established higher-timeframe direction.
How to Use the Strategy
The strategy logic is built on simple MA principles but utilizes Pine Script's switch function to allow users to select from six different MA types for both the main signal and the trend filter: SMA, EMA, WMA, HMA, VWMA, and RMA.
Core Logic:
Signal: A cross of the price over the Main MA (filtered by the chosen Entry Mode).
Directional Filter: The Trend Filter must confirm the direction (if enabled).
Exit: Trades are exited on the opposite price crossover of the Main MA.
Customizable Settings Include:
Main MA Type & Length (Default: 40 EMA): The primary signal generator.
Trend Filter MA Type & Length (Default: 70 EMA): The optional, slower trend bias.
Entry Mode: Switch between Crossover or Full Candle Confirmation.
Strategy Results and High-Risk Disclaimer
The default setting for trade size is set to 40% of equity for backtesting demonstration purposes only. This high value is used to generate a large and diverse sample size of trades for historical review on the chart.
This 40% value is NOT a recommended setting for live trading. Per TradingView guidelines, traders are strongly advised to change this input to a sustainable risk level, typically 5% to 10% of equity per trade. Past performance is not a guarantee of future results.
ChronoPulse MS-MACD Resonance StrategyChronoPulse MS-MACD Resonance Strategy
A systematic trading strategy that combines higher-timeframe market structure analysis with dual MACD momentum confirmation, ATR-based risk management, and real-time quality assurance monitoring.
Core Principles
The strategy operates on the principle of multi-timeframe confluence, requiring agreement between:
Market structure breaks (CHOCH/BOS) on a higher timeframe
Dual MACD momentum confirmation (classic and crypto-tuned profiles)
Trend alignment via directional EMAs
Volatility and volume filters
Quality score composite threshold
Strategy Components
Market Structure Engine : Detects Break of Structure (BOS) and Change of Character (CHOCH) events using confirmed pivots on a configurable higher timeframe. Default structure timeframe is 240 minutes (4H).
Dual MACD Fusion : Requires agreement between two MACD configurations:
Classic MACD: 12/26/9 (default)
Fusion MACD: 8/21/5 (default, optimized for crypto volatility)
Both must agree on direction before trade execution. This can be disabled to use single MACD confirmation.
Trend Alignment : Uses two EMAs for directional bias:
Directional EMA: 55 periods (default)
Execution Trend Guide: 34 periods (default)
Both must align with trade direction.
ATR Risk Management : All risk parameters are expressed in ATR multiples:
Stop Loss: 1.5 × ATR (default)
Take Profit: 3.0 × ATR (default)
Trail Activation: 1.0 × ATR profit required (default)
Trail Distance: 1.5 × ATR behind price (default)
Volume Surge Filter : Optional gate requiring current volume to exceed a multiple of the volume SMA. Default threshold is 1.4× the 20-period volume SMA.
Quality Score Gate : Composite score (0-1) combining:
Structure alignment (0.0-1.0)
Momentum strength (0.0-1.0)
Trend alignment (0.0-1.0)
ATR volatility score (0.0-1.0)
Volume intensity (0.0-1.0)
Default threshold: 0.62. Trades only execute when quality score exceeds this threshold.
Execution Discipline : Trade budgeting system:
Maximum trades per session: 6 (default)
Cooldown bars between entries: 5 (default)
Quality Assurance Console : Real-time monitoring panel displaying:
Structure status (pass/fail)
Momentum confirmation (pass/fail)
Volatility readiness (pass/fail)
Quality score (pass/fail)
Discipline compliance (pass/fail)
Performance metrics (win rate, profit factor)
Net PnL
Certification requires: Win Rate ≥ 40%, Profit Factor ≥ 1.4, Minimum 25 closed trades, and positive net profit.
Integrity Suite : Optional validation panel that audits:
Configuration sanity checks
ATR data readiness
EMA hierarchy validity
Performance realism checks
Strategy Settings
strategy(
title="ChronoPulse MS-MACD Resonance Strategy",
shorttitle="ChronPulse",
overlay=true,
max_labels_count=500,
max_lines_count=500,
initial_capital=100000,
currency=currency.USD,
pyramiding=0,
commission_type=strategy.commission.percent,
commission_value=0.015,
slippage=2,
default_qty_type=strategy.percent_of_equity,
default_qty_value=2.0,
calc_on_order_fills=true,
calc_on_every_tick=true,
process_orders_on_close=true
)
Key Input Parameters
Structure Timeframe : 240 (4H) - Higher timeframe for structure analysis
Structure Pivot Left/Right : 3/3 - Pivot confirmation periods
Structure Break Buffer : 0.15% - Buffer for structure break confirmation
MACD Fast/Slow/Signal : 12/26/9 - Classic MACD parameters
Fusion MACD Fast/Slow/Signal : 8/21/5 - Crypto-tuned MACD parameters
Directional EMA Length : 55 - Primary trend filter
Execution Trend Guide : 34 - Secondary trend filter
ATR Length : 14 - ATR calculation period
ATR Stop Multiplier : 1.5 - Stop loss in ATR units
ATR Target Multiplier : 3.0 - Take profit in ATR units
Trail Activation : 1.0 ATR - Profit required before trailing
Trail Distance : 1.5 ATR - Distance behind price
Volume Threshold : 1.4× - Volume surge multiplier
Quality Threshold : 0.62 - Minimum quality score (0-1)
Max Trades Per Session : 6 - Daily trade limit
Cooldown Bars : 5 - Bars between entries
Win-Rate Target : 40% - Minimum for QA certification
Profit Factor Target : 1.4 - Minimum for QA certification
Minimum Trades for QA : 25 - Required closed trades
Signal Generation Logic
A trade signal is generated when ALL of the following conditions are met:
Higher timeframe structure shows bullish (CHOCH/BOS) or bearish structure break
Both MACD profiles agree on direction (if fusion enabled)
Price is above both EMAs for longs (below for shorts)
ATR data is ready and above minimum threshold
Volume exceeds threshold × SMA (if volume gate enabled)
Quality score ≥ quality threshold
Trade budget available (under max trades per day)
Cooldown period satisfied
Risk Management
Stop loss and take profit are set immediately on entry
Trailing stop activates after 1.0 ATR of profit
Trailing stop maintains 1.5 ATR distance behind highest profit point
Position sizing uses 2% of equity per trade (default)
No pyramiding (single position per direction)
Limitations and Considerations
The strategy requires sufficient historical data for higher timeframe structure analysis
Quality gate may filter out many potential trades, reducing trade frequency
Performance metrics are based on historical backtesting and do not guarantee future results
Commission and slippage assumptions (0.015% + 2 ticks) may vary by broker
The strategy is optimized for trending markets with clear structure breaks
Choppy or ranging markets may produce false signals
Crypto markets may require different parameter tuning than traditional assets
Optimization Notes
The strategy includes several parameters that can be tuned for different market conditions:
Quality Threshold : Lower values (0.50-0.60) allow more trades but may reduce average quality. Higher values (0.70+) are more selective but may miss opportunities.
Structure Timeframe : Use 240 (4H) for intraday trading, Daily for swing trading, Weekly for position trading
Volume Gate : Disable for low-liquidity pairs or when volume data is unreliable
Dual MACD Fusion : Disable for mean-reverting markets where single MACD may be more responsive
Trade Discipline : Adjust max trades and cooldown based on your risk tolerance and market volatility
Non-Repainting Guarantee
All higher timeframe data requests use lookahead=barmerge.lookahead_off to prevent repainting. Pivot detection waits for full confirmation before registering structure breaks. All visual elements (tables, labels) update only on closed bars.
Alerts
Three alert conditions are available:
ChronoPulse Long Setup : Fires when all long entry conditions are met
ChronoPulse Short Setup : Fires when all short entry conditions are met
ChronoPulse QA Certification : Fires when Quality Assurance console reaches CERTIFIED status
Configure alerts with "Once Per Bar Close" delivery to match the non-repainting design.
Visual Elements
Structure Labels : CHOCH↑, CHOCH↓, BOS↑, BOS↓ markers on structure breaks
Directional EMA : Orange line showing trend bias
Trailing Stop Lines : Green (long) and red (short) trailing stop levels
Dashboard Panel : Real-time status display (structure, MACD, ATR, quality, PnL)
QA Console : Quality assurance monitoring panel
Integrity Suite Panel : Optional validation status display
Recommended Usage
Forward test with paper trading before live deployment
Monitor the QA console until it reaches CERTIFIED status
Adjust parameters based on your specific market and timeframe
Respect the trade discipline limits to avoid over-trading
Review quality scores and adjust threshold if needed
Use appropriate commission and slippage settings for your broker
Technical Implementation
The strategy uses Pine Script v6 with the following key features:
Multi-timeframe data requests with lookahead protection
Confirmed pivot detection for structure analysis
Dynamic trailing stop management
Real-time quality score calculation
Trade budgeting and cooldown enforcement
Comprehensive dashboard and monitoring panels
All source code is open and available for review and modification.
Disclaimer
This script is for educational and informational purposes only. It is not intended as financial, investment, or trading advice. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any losses incurred from using this strategy.
AI ALGO [Ganesh]Core Strategy Components\
1. EMA (Exponential Moving Average) SystemThe strategy uses three EMAs to identify trend direction:
EMA 48 (longer-term trend)
EMA 2 (short-term momentum)
EMA 21 (medium-term trend)
How it works:
Bullish trend: When price is above EMA 21 (green cloud)
Bearish trend: When price is below EMA 21 (red cloud)
EMA Cloud: The area between EMA 2 and EMA 48/21 provides visual trend confirmation
Optional higher timeframe (HTF) analysis for multi-timeframe confirmation
2. DEMA ATR (Double EMA + Average True Range)
This is a dynamic support/resistance indicator that adapts to volatility:Components:
DEMA (Double Exponential Moving Average): Smooths price action with less lag
ATR Bands: Creates upper and lower bands based on volatility (ATR × 1.7 factor)
Signal Generation:
Green line: Uptrend (DEMA ATR rising)
Red line: Downtrend (DEMA ATR falling)
Acts as a trailing stop-loss level that adjusts with market volatility
3. Smart Trail System (Fibonacci-Based)
An advanced trailing stop system using modified true range calculations:Key Features:
Calculates true range using Wilder's smoothing method
Creates Fibonacci retracement levels (61.8%, 78.6%, 88.6%) from the trail line
Adaptive stop-loss: Adjusts based on ATR factor (4.2) and smoothing (4)
Trend Detection:
Bullish: Price > Trailing line (blue zones)
Bearish: Price < Trailing line (red zones)
The Fibonacci zones show potential support/resistance areas
4. ZigZag Indicator Identifies significant swing highs and lows:
Length parameter: 13 (sensitivity control)
Labels: Higher Highs (HH), Lower Lows (LL), etc.
Helps identify trend reversals and key pivot points
5. Support & Resistance Levels
Strength-based S/R: Identifies horizontal support/resistance zones
Zone width: Adjustable percentage-based zones
High/Low zones: Marks significant price levels
Trading LogicEntry Conditions (Implied)The strategy likely enters trades when:Long Entry:
Price crosses above DEMA ATR (green)
Price is above EMA 21 (bullish EMA cloud)
Smart Trail confirms uptrend
Price bounces from Fibonacci support levels
Short Entry:
Price crosses below DEMA ATR (red)
Price is below EMA 21 (bearish EMA cloud)
Smart Trail confirms downtrend
Price rejects from Fibonacci resistance levels
Exit/Stop-Loss Strategy
Trailing stops: Using Smart Trail Fibonacci levels
Dynamic stops: DEMA ATR line acts as a moving stop-loss
Risk management: Position sizing at 50% of equity per trade
Dashboard Features1. Weekly Performance Table
Tracks trades per day of the week
Shows win/loss statistics
Calculates win rate percentage
2. Monthly Performance Table
Monthly P&L breakdown
Yearly performance summary
Color-coded returns (green = profit, red = loss)
Strategy Parameters
Initial Capital: $5,000
Commission: 0.02% per trade
Position Size: 50% of equity
Pyramiding: Disabled (no adding to positions)
Calculation: On bar close (not tick-by-tick)
Visual Elements
EMA clouds: Green (bullish) / Red (bearish)
DEMA ATR line: Dynamic support/resistance
Smart Trail zones: Fibonacci-based colored bands
ZigZag lines: Swing high/low connections
S/R zones: Horizontal support/resistance areas
Strategy Philosophy
This is a trend-following strategy with dynamic risk management that:
Uses multiple timeframes for confirmation
Adapts to volatility through ATR-based indicators
Provides clear visual cues for trend direction
Includes comprehensive performance tracking
Combines momentum (EMAs) with volatility (ATR) for robust signals
The strategy works best in trending markets and uses the Fibonacci trail system to maximize profits while protecting against reversals with adaptive stop-losses.
Katik EMA BUY SELLThis strategy uses EMA 9, EMA 20, and EMA 200 to generate Buy and Sell signals.
BUY Conditions
EMA 9 crosses above EMA 20
Stoploss: Recent Swing Low
Target: EMA 9 touches or crosses EMA 200
SELL Conditions
EMA 9 crosses below EMA 20
Stoploss: Recent Swing High
Target: EMA 9 touches or crosses EMA 200
Features
Automatic Long & Short entries
Dynamic swing-based stoploss
Clear EMA plots with line width 3
Works on all timeframes
Sniper PRO: The "Buffett Mode" VFI System"The stock market is a device for transferring money from the impatient to the patient." — Warren Buffett
Most traders lose money because they try to catch every small move. Sniper PRO is designed for the opposite: It identifies the massive, multi-week and multi-month trends driven by Institutional "Smart Money", and keeps you in the trade until the real move is over.
This is not a scalping tool. This is a Wealth Compounding Engine.
🚀 Why is this the "Secret Weapon"?
We combined the most searched and respected indicators into a single, high-probability algorithm:
VFI (Smart Money Flow): Tracks what the "Whales" are doing, not the retail traders.
Fibonacci Golden Ratio: Uses math to secure profits, not guesswork.
Trend Protocol: Filters out 90% of market noise.
🔥 The "Diamond Hands" Logic (VFI Shield)
The biggest problem in long-term trading is getting shaken out by a temporary dip. Sniper PRO solves this with the VFI Shield:
Even if price drops below your Stop Loss, the algorithm checks the Institutional Volume.
If Big Money is still holding? The Shield holds. You stay in the trade.
This feature alone allows you to ride trends for Weeks and Months (like NVDA, TSLA, BTC runs) without exiting prematurely.
⚙️ How It Works
1. The "Buffett" Entry We only enter when the odds are stacked in our favor:
Trend: Price must be above the EMA 50 (Bull Market).
Volume: VFI must be Positive (Accumulation Phase).
Volatility: The market must be active, not chopping sideways.
2. The Compounding Exit (Fibonacci Ladder) Instead of selling too early, the system builds a Fibonacci Ladder behind the price.
As the asset grows, your Stop Loss climbs automatically to the next Fibonacci level (0.382 -> 0.5 -> 0.618).
This locks in profits step-by-step while giving the asset room to breathe and grow.
3. Asymmetric Safety Shorting is risky in a long-term bull market. The system automatically reduces the size of Short trades to protect your capital, while maximizing exposure to Long rallies.
📊 Visual Guide
🔵 Blue Line: The Trend Baseline.
🔴 Red Steps: Your "Locked" Profit Level (Trailing Stop).
🟣 Purple 'X': Where the trade finally closed (Transparency).
Background Color:
Green: Bull Market (Safe to hold).
Orange: Choppy/Dangerous (Cash is King).
Best For:
Swing Traders & Investors (1D, 4H Timeframes).
People who want to catch the Big Moves and ignore the noise.
Disclaimer: This tool is designed for trend following. Past performance is not indicative of future results. Always manage your risk.
Crypto Intraday Strategy by SAIFOverview
A comprehensive intraday trading strategy designed for cryptocurrency markets, combining multiple technical indicators and risk management principles to identify high-probability trading opportunities.
Key Features
Multi-Timeframe Analysis
Utilizes exponential moving averages for trend identification
Incorporates swing structure analysis for support and resistance levels
Applies momentum and trend strength filters
Risk Management
Configurable risk-reward ratios (default 1.6:1)
Maximum risk per trade capped at 3.1% of equity
Dynamic stop-loss placement based on market structure
Position sizing at 2% of equity per trade
Advanced Filters
Trend strength confirmation using ADX indicator
Momentum validation through multiple oscillators
Market correlation analysis for additional confluence
Optional weekend trading filter to avoid low-liquidity periods
Swing Structure Recognition
Automatically identifies key swing highs and lows
Uses pivot points to determine optimal entry zones
Prevents entries too far from established support/resistance
Trade Execution
The strategy employs a one-way trading approach, entering positions only when multiple technical conditions align. Each trade includes pre-defined stop-loss and take-profit levels calculated at entry.
Customization Options
Adjustable swing detection sensitivity
Configurable EMA distance thresholds
Optional correlation filters
Weekend trading toggle
Risk parameters can be modified to suit individual preferences
Important Disclaimers
⚠️ Educational Purpose Only: This strategy is provided for educational and informational purposes. Past performance does not guarantee future results.
⚠️ Risk Warning: Trading cryptocurrencies carries substantial risk of loss. Only trade with capital you can afford to lose.
⚠️ Not Financial Advice: This tool does not constitute financial, investment, or trading advice. Always conduct your own research and consult with qualified financial professionals.
⚠️ Backtesting Limitations: Historical backtesting results may not reflect actual trading conditions due to slippage, execution delays, and changing market dynamics.
Fees & Slippage
Commission: 0.12% per trade
Slippage: 2 ticks accounted for in backtesting
Recommended Usage
Thoroughly backtest on your preferred trading pairs
Start with small position sizes when live trading
Monitor performance across different market conditions
Adjust parameters based on asset volatility and your risk tolerance
OLPF - Octavio Low-Pass Filter StrategyOCTAVIO LOW-PASS FILTER (OLPF) v1.0
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DESCRIPTION
The Octavio Low-Pass Filter (OLPF) is an advanced Finite Impulse Response (FIR) low-pass filter designed for financial time series analysis. It builds upon the foundational work of the New Low-Pass Filter (NLF) by Alex Pierrefeu, introducing three key enhancements that significantly improve signal quality and reduce common filtering artifacts.
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KEY INNOVATIONS
1. HERMITE SMOOTHING POLYNOMIAL
Replaces the simple quadratic base (x²) with the cubic Hermite interpolation polynomial . This mathematical refinement provides C¹ continuity at kernel boundaries, ensuring smoother transitions and eliminating edge discontinuities that can introduce artificial noise into the filtered signal.
2. LANCZOS SIGMA FACTOR WINDOWING
Applies a Lanczos-type attenuation factor to each harmonic component in the sine series. This windowing technique dramatically reduces the Gibbs phenomenon - the characteristic overshooting and ringing that occurs near sharp price transitions. The result is a cleaner signal with minimized false crossover signals.
3. ADAPTIVE WEIGHT NORMALIZATION
Implements dynamic normalization of kernel weights, guaranteeing that the sum of all filter coefficients equals unity. This ensures proper amplitude preservation across all market conditions and prevents signal drift or scaling artifacts.
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MATHEMATICAL FOUNDATION
The OLPF kernel function is defined as:
K(x, N) = x²(3-2x) + Σ (1/i) × σ(i) × sin(πxi)
Where:
- x ∈ is the normalized position within the filter window
- N is the filter order (degree of the sine series)
- σ(i) = sin(πi/(N+1)) / (πi/(N+1)) is the Lanczos sigma factor
The filter output is computed via discrete convolution:
F(M, N) = Σ src × / W
Where W is the sum of all weights for normalization.
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APPLICATIONS
- Trend identification with reduced lag compared to traditional MAs
- Noise reduction in volatile market conditions
- Generation of trading signals via fast/slow filter crossovers
- Foundation for more complex indicator development
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STRATEGY IMPLEMENTATION
This script implements a dual-filter crossover strategy with:
- Fast OLPF for responsive signal generation
- Slow OLPF for trend confirmation
- EMA filter for additional trend validation
- ATR-based dynamic stop-loss positioning
- Risk-based position sizing (percentage of equity)
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AUTHOR
Name: Hector Octavio Piccone Pacheco
Filter: Octavio Low-Pass Filter (OLPF)
Version: 1.0
Based on: New Low-Pass Filter (NLF) by Alex Pierrefeu
Date: 2025
Original Contributions:
- Hermite smoothing polynomial kernel base
- Lanczos sigma factor windowing for Gibbs reduction
- Adaptive weight normalization system
- Integrated risk management framework
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LICENSE
This work is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute this code with attribution.
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DISCLAIMER
Trading involves substantial risk of loss. This indicator is provided for educational and research purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk assessment.






















