ICT Liquidity Sweep Asia/London 1 Trade per High & Low🧠 ICT Liquidity Sweep Asia/London — 1 Trade per High & Low
This strategy is inspired by the ICT (Inner Circle Trader) concepts of liquidity sweeps and market structure, focusing on the Asia and London sessions.
It automatically identifies liquidity grabs (sweeps) above or below key session highs/lows and enters trades with a fixed risk/reward ratio (RR).
----------------------------------------------------------------------------------
----------------------------------------------------------------------------------
⚙️ Core Logic
-Asia Session: 8:00 PM – 11:59 PM (New York time)
-London Session: 2:00 AM – 5:00 AM (New York time)
-The script marks the Asia High/Low and London High/Low ranges for each day.
-When the market sweeps above a session high → potential Short setup
-When the market sweeps below a session low → potential Long setup
-A trade is triggered when the confirmation candle closes in the opposite direction of the sweep (bearish after a high sweep, bullish after a low sweep).
-Only one trade per sweep type (1 per High, 1 per Low) is allowed per session.
----------------------------------------------------------------------------------
----------------------------------------------------------------------------------
📈 Risk Management
-Configurable Risk/Reward Target (default = 2:1)
-Configurable Position Size (number of contracts)
-Each trade uses a fixed Stop Loss (beyond the wick of the sweep) and a Take Profit calculated from the RR setting.
-All trades are automatically logged in the Strategy Tester with performance metrics.
----------------------------------------------------------------------------------
----------------------------------------------------------------------------------
💡 Features
✅ Visual session highlighting (Asia = Aqua, London = Orange)
✅ Automatic liquidity line plotting (session highs/lows)
✅ Entry & exit labels (optional visual display)
✅ Customizable RR and contract size
✅ Works on any instrument (ideal for indices, futures, or forex)
✅ Compatible with all timeframes (optimized for 1M–15M)
----------------------------------------------------------------------------------
----------------------------------------------------------------------------------
⚠️ Notes
-Best used on New York time-based charts.
-Designed for educational and backtesting purposes — not financial advice.
-Use as a foundation for further optimization (e.g., SMT confirmation, FVG filter, or time-based restrictions).
----------------------------------------------------------------------------------
----------------------------------------------------------------------------------
🧩 Recommended Use
Pair this with:
-ICT’s concepts like CISD (Change in State of Delivery) and FVGs (Fair Value Gaps)
-Higher timeframe liquidity maps
-Session bias or daily narrative filters
----------------------------------------------------------------------------------
----------------------------------------------------------------------------------
Author: jygirouard
Strategy Version: 1.3
Type: ICT Liquidity Sweep Automation
Timezone: America/New_York
المؤشرات والاستراتيجيات
4-Hour Range Scalping [v6.3]User Guide: 4-Hour Range Scalping Strategy
Hello! Here is the guide for the Pine Script strategy. Please read it carefully to get the best results.
📈 This script automates the "4-Hour Range Scalping Strategy" from the video.
The main idea is that the first four hours of a major trading day (like New York) set up a "trap zone." The strategy waits for the price to break out of this zone and then fail, giving us a signal that the breakout was false and the price is likely to reverse.
Here’s the simple logic:
Define the Range: It precisely calculates the highest high and lowest low during the first four hours of the selected trading session (e.g., 00:00 to 04:00 New York Time).
Wait for a Breakout: It then monitors the 5-minute chart for a price breakout where a candle fully closes outside of this established range.
Identify the Reversal: The trade trigger occurs when the price fails to continue its breakout and a subsequent 5-minute candle closes back inside the range. This signals a potential reversal or "failed breakout."
Execute the Trade:
]A Short (Sell) trade is triggered after a failed breakout above the range high.
A Long (Buy) trade is triggered after a failed breakout below the range low.
Manage the Risk: The Stop Loss is automatically placed at the peak (for shorts) or trough (for longs) of the breakout move, and the Take Profit is set to a default 2:1 Risk/Reward Ratio.
How to Use the Script (Step-by-Step) ⚙️
Follow these instructions to get it running perfectly.
1. Set Your Chart Timeframe This is the most important step. The strategy is designed to run on a 5-minute (5m) chart. Open your TradingView chart and make sure the timeframe is set to "5m".
2. Add the Script to Your Chart Open the Pine Editor tab at the bottom of TradingView, paste the entire script, and click the "Add to chart" button.
3. Configure the Settings On your chart, find the strategy's name (e.g., "4-Hour Range Scalping ") and click the gear icon ⚙️ to open its settings.
Trading Session: Choose the session for the range. New York is the default and the one from the video.
Risk/Reward Ratio: The default is 2.0, meaning your potential profit is twice your potential loss. You can adjust this to test other targets.
Backtesting Period: To see how the strategy performed on all historical data, go to the "Strategy Tester" panel, click its own gear icon ⚙️, and uncheck the boxes for "Start Date" and "End Date."
4. Understand the Visuals on Your Chart
Blue Background Area: This is the 4-hour calculation window. The script is identifying the day's high and low during this time. No trades will ever happen here.
Red Line (Range High): The highest price of the 4-hour window. This is the upper boundary of the "trap zone."
Green Line (Range Low): The lowest price of the 4-hour window. This is the lower boundary.
Green Triangle (▲): Shows where a Long (Buy) trade was entered.
Red Triangle (▼): Shows where a Short (Sell) trade was entered.
A Very Important Note on Timezones 🕒
This is critical for you in the Philippines (PHT).
The script is based on the New York session, which is 12 hours behind you. Your TradingView chart will still show your local time, but the script works on NY time in the background.
The New York "day" begins at 12:00 PM (Noon) your time.
The script's blue calculation window will be from 12:00 PM to 4:00 PM your local time.
The red and green range lines will appear on your chart only after 4:00 PM your time.
So, if you look at your chart in the morning or early afternoon, you will not see today's range yet. This is normal! The script is just waiting for the New York session to start.
How to Set Up Trade Alerts 🔔
You can have TradingView send you a notification whenever the script enters a trade.
Click the "Alert" button (looks like a clock) in the right-hand toolbar of TradingView.
In the "Condition" dropdown, select the name of the script (e.g., "4-Hour Range Scalping...").
You will then see two options: "Long Signal" and "Short Signal".
Select one (e.g., "Long Signal") and configure how you want to be notified (e.g., "Notify on app").
Click "Create". Repeat the process to create an alert for the other signal.
⚠️ Important Disclosure
For Educational and Research Purposes Only.
This script and all accompanying information are provided for educational and research purposes only. The strategy demonstrated is a technical concept and should not be misconstrued as financial, investment, legal, or tax advice.
Trading financial markets involves substantial risk and is not suitable for every investor. There is a possibility that you could sustain a loss of some or all of your initial investment. Therefore, you should not invest money that you cannot afford to lose.
Past performance is not indicative of future results. The backtesting results shown by this script are historical and do not guarantee future performance. Market conditions are constantly changing.
By using this script, you acknowledge that you are solely responsible for any and all trading decisions you make. You should conduct your own thorough research and, if necessary, seek advice from an independent financial advisor before making any investment decisions. The creators of this script assume no liability for any of your trading results.
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph
Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter.
Scope and intent
• Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto
• Timeframes: 5 min to 1 day
• Default demo: SPY on 60 min
• Purpose: fade stretched moves only when multi-anchor context and breadth agree
• Limits: strategy uses standard candles for signals and orders only
Originality and usefulness
• Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM
• Failure mode addressed: chasing extended moves and fading during index-wide thrusts
• Testability: each component is an input and visible in orders list via L and S tags
• Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols
• Open source: method and implementation are disclosed for community review
Method overview in plain language
Base measures
• Range basis: ATR(length = atr_len) as the normalization unit
• Return basis: not used directly; we use rank statistics for stability
Components
• Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len
• Robust Z of Close: median and MAD based Z to avoid outliers
• Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts
• Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided
• Gap Shock: skip signals after large session gaps
Fusion rule
• All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear
Signal rule
• Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok
• Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok
What you will see on the chart
• Standard strategy arrows for entries and exits
• Optional short-side brackets: ATR stop and ATR take profit if enabled
Inputs with guidance
Setup
• Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts.
• ATR length: normalization unit. Typical 10 to 20. Higher reduces noise.
• VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0.
• Robust Z window: 40 to 100. Larger for stability.
• Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only.
• Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches.
• Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs.
Regime and Breadth
• Use breadth gate: on when trading indices or broad ETFs.
• Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts.
• Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade.
Risk — Short only
• Enable short SL TP: on to bracket shorts.
• Short ATR stop mult: 1.0 to 3.0.
• Short ATR take profit mult: 1.0 to 6.0.
Properties visible in this publication
• Initial capital: 25000USD
• Default order size: Percent of total equity 3%
• Pyramiding: 0
• Commission: 0.03 percent
• Slippage: 5 ticks
• Process orders on close: OFF
• Bar magnifier: OFF
• Recalculate after order is filled: OFF
• Calc on every tick: OFF
• request.security lookahead off where used
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Fills and slippage vary by venue
• Shapes can move during bar formation and settle on close
• Standard candles only for strategies
Honest limitations and failure modes
• Economic releases or very thin liquidity can overwhelm mean-reversion logic
• Heavy gap regimes may require larger gap filter or TR-based tuning
• Very quiet regimes reduce signal contrast; extend windows or raise thresholds
Open source reuse and credits
• None
Strategy notice
Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution.
Entries and exits
• Entry logic: as in Signal rule above
• Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup
• Risk model: ATR-based brackets on shorts when enabled
• Tie handling: stop first when both could be touched inside one bar
Dataset and sample size
• Test across your visible history. For robust inference prefer 100 plus trades.
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph
Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter.
Scope and intent
• Markets. Gold and silver futures or spot, other liquid commodities, major indices
• Timeframes. Five minutes to one day. Defaults to 30min for swing pace
• Default demo used in this publication. TVC:GOLD on 30m
• Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias
• Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings
• Testability. Each component has a named input. Entry names L and S are visible in the list of trades
• Portable yardstick. Weekly ATR for stops and R multiples for targets
• Open source. Method and implementation are disclosed for community review
Method overview in plain language
You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope.
Base measures
• Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE
• Return basis. Not required
Components
• Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window
• Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat
• DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens
• Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band
Fusion rule
• All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled
Signal rule
• Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish
• Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish
• Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band
Inputs with guidance
Setup
• Symbol. Default TVC:GOLD (Correlation Asset for internal logic)
• Signal timeframe. Blank follows the chart
• Confirm timeframe. Default 1 day used by the bias block
Directional Convexity Index
• DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier
• DCX rise bars. Typical 3 to 6. Higher demands continuation
• DCX entry threshold. Typical 15 to 35. Higher avoids soft moves
• Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape
• Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence
Adaptive Volatility Envelope
• AVE window. Typical 24 to 48. Higher smooths more
• Midline type. ALMA or HMA or EMA per preference
• TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions
• Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR
• Base envelope mult. Typical 1.4 to 2.2. Width of bands
• Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands
Intermarket Bias
• Use DXY bias. Default ON
• DXY timeframe. Default 1 day
• DXY trend window. Typical 10 to 50
Risk
• Risk percent per trade. Reporting field. Keep live risk near one to two percent
• Weekly ATR. Default 14. Basis for stops
• Stop ATR weekly mult. Typical 1.5 to 3.0
• Take profit R multiple. Typical 1.5 to 3.0
• Trail with AVE band. Optional. OFF by default
Properties visible in this publication
• Initial capital. 20000
• Base currency. USD
• request.security lookahead off everywhere
• Commission. 0.03 percent
• Slippage. 5 ticks
• Default order size method percent of equity with value 3% of the total capital available
• Pyramiding 0
• Process orders on close ON
• Bar magnifier ON
• Recalculate after order is filled OFF
• Calc on every tick OFF
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Shapes can move while a bar forms and settle on close
• Strategies use standard candles for signals and orders only
Honest limitations and failure modes
• Economic releases and thin liquidity can break assumptions behind the expansion logic
• Gap heavy symbols may prefer a longer ATR window
• Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands
• Session time follows the exchange of the chart and can change symbol to symbol
• Symbol sensitivity is expected. Use the gates and length inputs to find stable settings
Open source reuse and credits
• None
Mode
Public open source. Source is visible and free to reuse within TradingView House Rules
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
FluxGate Daily Swing StrategySummary in one paragraph
FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close.
Scope and intent
• Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs
• Timeframes. From one minute to daily
• Default demo in this publication. SPY on one day timeframe
• Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy
• Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution
Originality and usefulness
• Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another.
• Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean.
• Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common.
• Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart.
• Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number.
Method overview in plain language
Base measures
• Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window.
• Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks.
Components
• Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating.
• Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms.
• Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss.
• Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior.
• Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there.
• Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act.
• Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule.
• Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize.
Fusion rule
• Normalize the three drivers after removing overlap
• Blend with weights that adapt to your aggression input
• Multiply by the gates to respect path quality
• Smooth just enough to avoid jitter while keeping timing responsive
• Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign
• The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug
Signal rule
• A long suggestion appears when the long score crosses above its long threshold while all gates are active
• A short suggestion appears when the short score crosses below its short threshold while all gates are active
• If any required gate is missing the state is wait
• When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips
Inputs with guidance
Setup Long
• Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise
• Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing
Setup Short
• Base length Short. Master window for the short engine. Typical range twenty eight to ninety six
• Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols
Entries and UI
• Entry mode. Both or Long only or Short only
Complementary risk engine
• Enable risk engine. Turns on bracket exits while keeping your signal logic untouched
• ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance
• ATR length. Default fourteen
• Stop multiple. Default one point five times the anchor ATR
• Use take profit. On by default
• Take profit in R. Default two R
• Breakeven trigger in R. Default one R
Usage recipes
Intraday trend focus
• Entry mode Both
• ATR anchor Week
• Aggression Long zero point five Aggression Short zero point three
• Stop multiple one point five Take profit two R
• Expect fewer trades that stick to directional pushes and skip treadmill noise
Intraday mean reversion focus
• Session windows optional if you add them in your copy
• ATR anchor Day
• Lower aggression both sides
• Breakeven later and trailing later so the first bounce has room
• This favors fade entries that still convert into trends when the path stays clean
Swing continuation
• Signal timeframe four hours or one day
• Confirm timeframe one day if you choose to include bias
• ATR anchor Week or Month
• Larger base windows and a steady two R target
• This accepts fewer entries and aims for larger holds
Properties visible in this publication
• Initial capital 25.000
• Base currency USD
• Default order size percent of equity value three - 3% of the total capital
• Pyramiding zero
• Commission zero point zero three percent - 0.03% of total capital
• Slippage five ticks
• Process orders on close off
• Recalculate after order is filled off
• Calc on every tick off
• Bar magnifier off
• Any request security calls use lookahead off everywhere
Realism and responsible publication
• No performance promises. Past results never guarantee future outcomes
• Fills and slippage vary by venue and feed
• Strategies run on standard candles only
• Shapes can update while a bar is forming and settle on close
• Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable
Honest limitations and failure modes
• Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads
• Gap heavy symbols often behave better with a True Range basis for risk than a simple range
• Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep
• Session windows follow the exchange time of the chart if you add them
• If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative
Open source reuse and credits
• No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
HermesHERMES STRATEGY - TRADINGVIEW DESCRIPTION
OVERVIEW
Hermes is an adaptive trend-following strategy that uses dual ALMA (Arnaud Legoux Moving Average) filters to identify high-quality entry and exit points. It's designed for swing and position traders who want smooth, low-lag signals with minimal whipsaws.
Unlike traditional moving averages that operate on price, Hermes analyzes price returns (percentage changes) to create signals that work consistently across any asset class and price range.
HOW IT WORKS
DUAL ALMA SYSTEM
The strategy uses two ALMA lines applied to price returns:
• Fast ALMA (Blue Line): Short-term trend signal (default: 80 periods)
• Slow ALMA (Black Line): Long-term baseline trend (default: 250 periods)
ALMA is superior to simple or exponential moving averages because it provides:
• Smoother curves with less noise
• Significantly reduced lag
• Natural resistance to outliers and flash crashes
TRADING LOGIC
BUY SIGNAL:
• Fast ALMA crosses above Slow ALMA (bullish regime)
• Price makes new N-bar high (momentum confirmation)
• Optional: Price above 200 EMA (macro trend filter)
• Optional: ALMA lines sufficiently separated (strength filter)
SELL SIGNAL:
• Fast ALMA crosses below Slow ALMA (bearish regime)
• Optional: Price makes new N-bar low (momentum confirmation)
The strategy stays in position during the entire bullish regime, allowing you to ride trends for weeks or months.
VISUAL INDICATORS
LINES:
• Blue Line: Fast ALMA (short-term signal)
• Black Line: Slow ALMA (long-term baseline)
TRADE MARKERS:
• Green Triangle Up: Buy executed
• Red Triangle Down: Sell executed
• Orange "M": Buy blocked by momentum filter
• Purple "W": Buy blocked by weak crossover strength
KEY PARAMETERS
ALMA SETTINGS:
• Short Period (default: 30) - Fast signal responsiveness
• Long Period (default: 250) - Baseline stability
• ALMA Offset (default: 0.90) - Balance between lag and smoothness
• ALMA Sigma (default: 7.5) - Gaussian curve width
ENTRY/EXIT FILTERS:
• Buy Lookback (default: 7) - Bars for momentum confirmation (required)
• Sell Lookback (default: 0) - Exit momentum bars (0 = disabled for faster exits)
• Min Crossover Strength (default: 0.0) - Required ALMA separation (0 = disabled)
• Use Macro Filter (default: true) - Only enter above 200 EMA
BEST PRACTICES
RECOMMENDED ASSETS - Works well on:
• Cryptocurrencies (Bitcoin, Ethereum, etc.)
• Major indices (S&P 500, Nasdaq)
• Large-cap stocks
• Commodities (Gold, Oil)
RECOMMENDED TIMEFRAMES:
• Daily: Primary timeframe for swing trading
• 4-Hour: More active trading (increase trade frequency)
• Weekly: Long-term position trading
PARAMETER TUNING:
• More trades: Lower Short Period (60-80)
• Fewer trades: Raise Short Period (100-120)
• Faster exits: Set Sell Lookback = 0
• Safer entries: Enable Macro Filter (Use Macro Filter = true)
STRATEGY ADVANTAGES
1. Low Lag - ALMA provides faster signals than traditional moving averages
2. Smooth Signals - Minimal whipsaws compared to crossover strategies
3. Asset Agnostic - Same parameters work across different markets
4. Trend Capture - Stays positioned during entire bullish regimes
5. Risk Management - Multiple filters prevent poor entries
6. Visual Clarity - Easy to interpret regime and filter states
WHEN TO USE HERMES
BEST FOR:
• Trending markets (crypto bull runs, equity uptrends)
• Swing trading (hold days to weeks)
• Position trading (hold weeks to months)
• Clear trend identification
• Risk-managed exposure
NOT SUITABLE FOR:
• Ranging/sideways markets
• Scalping or day trading
• High-frequency trading
• Mean reversion strategies
RISK DISCLAIMER
This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper position sizing and risk management. Test thoroughly on historical data before live trading.
CREDITS
Inspired by Giovanni Santostasi's Power Law Volatility Indicator, generalized for universal application across all assets using adaptive ALMA filtering.
Strategy by Hermes Trading Systems
QUICK START
1. Add indicator to chart
2. Use on daily timeframe for best results
3. Look for green buy signals when blue line crosses above black line
4. Exit on red sell signals when blue line crosses below black line
5. Adjust parameters based on your trading style:
• Conservative: Enable Macro Filter, increase Buy Lookback to 10
• Aggressive: Disable Macro Filter, lower Short Period to 60
• Default settings work well for most assets
XqKtPvRwSd-StrategyTradingView Pine Script Suite (v4.0) — General Overview
Purpose
A modular indicator and strategy suite designed for crypto markets, focusing on trend detection, momentum, range visualization, and signal generation. The suite supports popular symbols (BTC, ETH, BNB, SOL, DOGE) and offers flexible visualization and alert options.
Main Components
- v4.0-indicator: Multi-signal display for monitoring market conditions and trend bias.
- v4.0-watch-15m: Watchlist-style indicator with symbol-aware auto-tuning and optional chart timeframe adaptation.
- v4.0-strategy: Backtestable strategy using a unified, SuperTrend-based trend determination for entries/exits.
- v4.0-range: Range and structure visualization with dynamic lines, zones, and basic breakout cues.
- Two Poles.pinescript and fengzi/Two Poles Trend: Low-lag trend and smoothing filters for stability.
- supertrend.pinescript: SuperTrend variations used across the suite for direction and stops.
- fengzi utilities:
- Hann Window FIR Filter: Denoising and smoothing to reduce noise without excessive lag.
- Heatmap + Hann Resonance: Visual heat/energy mapping for momentum and resonance cues.
- Heatmap Trailing Stop with Breakouts: Trailing stop framework with breakout detection.
- Additional modules: super Z, AI JX, v3.2, and 4.0.pinescript (combined or experimental entries).
Key Features
- Unified Trend Logic: Strategy and visual components rely on a consistent SuperTrend-based direction model, improving clarity and consistency.
- Adaptive Timeframe: Option to use the chart’s timeframe; parameters scale from a 15m baseline to maintain relative behavior.
- Symbol Auto-Tuning: Default parameter sets are tailored for common crypto symbols; manual overrides are available.
- RSI Top/Bottom Hints: Optional dynamic cues for potential peaks in uptrends and troughs in downtrends; can contribute to scoring and alerts.
- Visual Customization: Configurable markers (arrows, dots, crosses), colors, line widths, and subtle background highlighting.
- Scoring and Clustering: Combines checks into a simplified score and clusters signals to reduce noise.
- Alerts: Supports TradingView alerts for entries, exits, and RSI hints.
- Compatibility: Designed to compile across common Pine versions and avoid local-scope plotting issues.
Basic Usage
- Add the indicator or strategy to your chart depending on your goal (monitoring vs. backtesting).
- Choose to follow the chart’s timeframe or set a working timeframe manually.
- Keep symbol auto-tuning enabled for a balanced default, or adjust parameters to match your preferences.
- Toggle optional modules (RSI hints, scoring contribution, visualization) based on your needs.
- For strategies, run backtests across your target period and review performance metrics (win rate, drawdown, and trade frequency).
Configuration Guidelines
- For earlier entries: lower SuperTrend period or multiplier; relax RSI thresholds.
- For more conservative behavior: increase SuperTrend period or multiplier; tighten thresholds; use stricter RSI logic.
- For cleaner signals: rely on the unified trend and consider limiting trades during extreme volatility or illiquid sessions.
Outputs
- Trend markers and lines indicating bullish/bearish bias and reversals.
- Range drawings with dynamic line coordinates, zones, and visual cues for consolidations and breakouts.
- Optional multi-timeframe dashboard-style summaries where applicable.
Extensibility
- Parameters and defaults can be extended for additional symbols and styles.
- Optional weighting or neutrality rules can be added to trend logic if you prefer stricter confirmation.
- Additional filters (volatility, session, volume) can be integrated to refine entries and exits.
Notes
- Not financial advice; backtest thoroughly before using any strategy live.
- Performance and signal quality vary by symbol, timeframe, and market conditions; adjust parameters as needed.
- Pine version differences may require minor adjustments; keep your environment up to date.
CE+ZLSMA RovTrading StrateryThe strategy is optimized for scalping in small timeframes like M15 and M30, as well as M5.
It combines two indicators: CE and ZLSMA.
Try it now!
ProbRSI Adaptive SPY and QQQ Swing One Hour Strategy Summary in one paragraph
A probabilistic RSI engine for large cap ETFs and index names on intraday and swing timeframes. It converts ATR scaled returns into a 0 to 100 probability line, adapts its smoothing from path efficiency, and gates flips with simple percent levels. It is original because it fuses three pieces that traders rarely combine in one signal line: ATR normalized return probability, curvature compression, and per bar adaptive EMA. Add it to a clean chart, keep the default one hour signal on QQQ, and read the entry and exit markers generated by the strategy. For conservative alerts select on bar close.
Scope and intent
• Markets. Major ETFs and large cap equities. Index futures. Liquid crypto. Major FX pairs
• Timeframes. One minute to daily. Defaults to one hour for swing pace
• Default demo used in this publication. SPY/QQQ on one hour
• Purpose. Reduce false flips by adapting to path efficiency and by gating long and short separately
• Limits. This is a strategy. Orders are simulated on standard candles only
Originality and usefulness
• Unique fusion. Logistic probability of ATR scaled returns with arcsine pre transform, optional curvature compression, and per bar adaptive EMA steered by an efficiency ratio
• Failure mode addressed. Fast whips in congestion and late entries after spikes
• Testability. Each component has a named input and can be tuned directly. Entry names Long and Short are visible in the list of trades
• Portable yardstick. ATR scaled return is a common unit across symbols and venues
• Protected rationale. The code stays protected to preserve implementation details of the adaptive engine and curvature assist while the method and usage are fully explained here for community review
Method overview in plain language
You convert raw returns into a probability scale, adapt the smoothing to the straightness of the path, and only allow flips when a simple gate is satisfied. The probability line crosses its own EMA to generate signals. When the cross happens below a short gate or above a long gate, the flip is allowed. Otherwise it is ignored.
Base measures
• Return basis. Close minus prior close normalized by ATR, then arcsine to damp large steps. ATR window is set by ATR length. Sensitivity is adjusted by an ATR scale input
• Probability map. A logistic function maps the normalized return to 0 to 1 which becomes 0 to 100 after scaling
Components
• Probability core. Logistic probability of ATR scaled returns. Higher values imply upside pressure. Smoothed by an adaptive EMA
• Curvature assist optional. A curvature proxy compresses extreme spikes toward neutral. Useful after news bars. Weight controls strength
• Efficiency ratio. A path efficiency score from 0 to 1 extends the smoothing length during noisy paths and shortens it during directional paths
• Signal line. An EMA of the probability line creates the reference for cross up and cross down
• Gates. Two simple percent levels define when long and short flips are allowed
Fusion rule
• The adaptive EMA length is computed as a linear map between a minimum and a maximum bound based on one minus efficiency
• If curvature assist is enabled the probability is adjusted by a small counter spike term
• Final probability is compared to its EMA
Signal rule
• Long. A long entry is suggested when probability crosses above the signal line and the current probability is above the Long gate level
• Short. A short entry is suggested when probability crosses below the signal line and the current probability is below the Short gate level
• Exit and flip. When an opposite entry condition appears the current position is closed and a new position opens in the opposite direction
What you will see on the chart
• Strategy markers on suggestion bars. Orders named Long and Short
• Exit marker when the opposite signal closes the open side
• No table by design. All tuning lives in Inputs for a clean chart
Inputs with guidance
Market TF
• Symbol. Series used for oscillator computation. Use the instrument you trade or a close proxy
• Signal timeframe. Timeframe where the oscillator is evaluated. Leave blank to follow the chart
Core
• Price source. Series used for returns. Typical choice close
• Base length. Fallback EMA length used when adaptation is off. Typical range 20 to 200. Larger smooths more
• ATR length. Window for ATR that scales returns. Typical range 10 to 30. Larger normalizes more and lowers sensitivity
• Logit sharpness. Steepness of the logistic link. Typical range 1 to 8. Raising it reacts more to the same input
• ATR scale. Extra divisor on ATR. Typical range 0.5 to 2. Smaller is more sensitive
• Signal length. EMA of the probability line. Typical range 5 to 20. Larger gives fewer flips
• Long gate. Allow long flips only above this level. Typical range 20 to 40
• Short gate. Allow short flips only below this level. Typical range 20 to 40
Adaptive
• Adaptive smoothing. If on, the efficiency ratio controls the per bar EMA length
• Min effective length. Lower bound of adaptive EMA. Typical range 5 to 50
• Max effective length. Upper bound of adaptive EMA. Typical range 50 to 300
• Efficiency window. Window for efficiency ratio. Typical range 30 to 100
Shape Assist
• Curvature influence. If on, extreme spikes are nudged toward neutral
• Curvature weight. Strength of compression. Typical range 0.1 to 0.3
Properties visible in this publication
• Initial capital. 25000
• Base currency. USD
• request.security lookahead off everywhere
• Commission. 0.03 percent
• Slippage. 5 ticks
• Default order size method percent of equity with value 3 for realistic testing
• Pyramiding 0
• Process orders on close ON
• Bar magnifier OFF
• Recalculate after order is filled OFF
• Calc on every tick OFF
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Shapes can move while a bar forms and settle on close
• Strategies use standard candles for signals and orders only
Honest limitations and failure modes
• Economic releases and thin liquidity can break assumptions behind the curvature assist
• Gap heavy symbols may prefer a longer ATR window
• Very quiet regimes can reduce signal contrast. Consider higher gates or longer signal length
• Session time follows the exchange of the chart and can change symbol to symbol
• Symbol sensitivity is expected. Use the gates and length inputs to find stable settings
• Past results never guarantee future outcomes
Open source reuse and credits
• None
Mode
Public protected. Source is hidden while access is free. Implementation detail remains private. Method and use are fully disclosed here
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Master Trend Strategy - by jake_thebossMaster Trend Strategy
This strategy combines multiple technical indicators to identify high-probability trend entries across all asset classes.
Core Signal Logic:
Entry triggered when EMA 4 crosses above/below EMA 5
Confirmation required from RSI (>50 for long, <50 for short)
Price must be above/below key moving averages: EMA 21, SMA 50, EMA 55, EMA 89, and EMA 750
Additional confirmation from Stochastic (>52 bullish, <48 bearish) or EMA 89 breakout or VWAP cross
Key Features:
VWAP filter: Only takes bullish signals above VWAP and bearish signals below VWAP
Optional pyramiding: Allows multiple entries in the same direction (up to 200 orders)
Individual stop loss and take profit management for each pyramid level
Time filter: Customizable trading hours with timezone offset
Risk management: Adjustable stop loss (default 0.3%) and take profit (default 0.6%)
Visualization:
Entry, stop loss, and take profit levels drawn as horizontal lines
Customizable signal markers (triangles) for bull/bear entries
Optional EMA overlay display
The strategy is designed for trend-following on lower timeframes, with strict multi-indicator confirmation to filter out false signals.
AO3 BETA 3.9.0 (v9p)// 📦 VERSION UPGRADE NOTE
// Indicator:
// Version: BETA 3.9.0 (v9p)
// Previous: BETA 3.4.2 (v6)
//────────────────────────────────────────────
// 🔸 Upgrade Summary:
// • Upgraded to Pine Script v6 (backward compatible).
// • Improved trend filter logic:
// – H1/H4 Uptrend = AO > U1
// – AO ≤ U1 ⇒ not uptrend
// – **NEW:** When AO crosses back above U1 (while AO > 0) ⇒ uptrend resumes.
// – Vice versa for downtrend.
// • Removed Entry Option 1; Option 2 → new Option 1; Option 3 → new Option 2.
// • Optimized internal constants & default values.
// • Added hidden system parameters (RISK_CAP, MIN_BARS, MAX_SPREAD, etc.).
// • Exposed only key inputs (Length, UseFilter, ATR Length) for cleaner UI.
// • Organized inputs into groups with tooltips for usability.
// • Improved performance via var-caching and reduced redundant calculations.
// • Simplified dev structure for modular updates.
//────────────────────────────────────────────
// 🧩 Notes:
// This build focuses on end-user stability and simplified interface.
// Developer-only parameters are now locked (not user-editable).
MACD + Supertrend + DEMA StrategySTRATEGY 📊 STRATEGY LOGIC:
Long Entry: When ALL of these occur simultaneously:
MACD histogram crosses above 0
Supertrend is bullish (green)
Short DEMA > Long DEMA
Short Entry: When ALL of these occur simultaneously:
MACD histogram crosses below 0
Supertrend is bearish (red)
Short DEMA < Long DEMA
Exits: Based on your TP/SL percentages from entry price
This follows the same clean structure as your MACD strategy but adds the alignment concept and proper risk management!
TalaJooy V1.31 𓅂💎 استراتژی معاملاتی TalaJooy V1.31 𓅂
TalaJooy (طلاجوی) یک چارچوب معاملاتی حرفهای و کامل برای TradingView است که برای حذف حدس و گمان، احساسات و تصمیمگیریهای هیجانی از فرآیند معاملات طراحی شده است.
این محصول یک «اندیکاتور سیگنالدهی» ساده نیست؛ بلکه یک استراتژی (Strategy) کامل است که چهار وظیفه کلیدی را به صورت خودکار انجام میدهد:
تحلیل بازار (بر اساس یک موتور امتیازدهی کمی)
صدور سیگنال (ورود و خروج شفاف)
مدیریت ریسک پویا (محاسبه خودکار حد ضرر)
مدیریت حجم پوزیشن (محاسبه خودکار حجم بر اساس ریسک)
هدف «طلاجوی» تبدیل معاملهگری شهودی به یک فرآیند مکانیکی، مبتنی بر داده و مدیریت ریسک است.
⚙️ قابلیتهای کلیدی (آنچه دریافت میکنید)
این استراتژی مجهز به مجموعهای از ابزارهای حرفهای است که مستقیماً روی چارت شما اجرا میشوند:
🎯 ۱. سیگنالهای ورود و خروج شفاف
فلشهای واضح خرید (▲) و فروش (▼) که نقاط دقیق ورود بر اساس منطق استراتژی را مشخص میکنند. این سیستم تنها زمانی سیگنال صادر میکند که فیلترهای روند، همسویی لازم را تایید کنند.
🛡️ ۲. مدیریت ریسک پویای ATR
بزرگترین چالش معاملهگران، تعیین حد ضرر (SL) مناسب است. این استراتژی حد ضرر را به صورت خودکار و پویا بر اساس نوسانات واقعی بازار (با استفاده از ATR) محاسبه میکند.
نتیجه: در بازارهای پرنوسان، استاپ شما برای جلوگیری از استاپهانت شدن، فاصله ایمنتری میگیرد و در بازارهای آرام، بهینهتر و نزدیکتر تنظیم میشود.
💰 ۳. محاسبه خودکار حجم پوزیشن
دیگر نیازی به «ماشین حساب پوزیشن» ندارید. استراتژی به صورت اتوماتیک، حجم دقیق هر معامله را بر اساس درصد ریسک ثابتی که شما از کل سرمایهتان تعیین میکنید، محاسبه مینماید. این ویژگی، مدیریت سرمایه حرفهای را در تمام معاملات شما تضمین میکند.
🎨 ۴. نواحی بصری سود و زیان (TP/SL)
هنگامی که یک معامله باز است، این ابزار به صورت زنده، نواحی حد سود (سبز) و حد ضرر (قرمز) را مشابه ابزار پوزیشن خود تریدینگ ویو، مستقیماً روی چارت برای شما رسم میکند.
📈 ۵. پنل آمار عملکرد پیشرفته
یک جدول آماری جامع که تمام معیارهای کلیدی عملکرد شما را به صورت زنده نمایش میدهد:
سود و زیان خالص (دلاری و درصدی)
ضریب سود (Profit Factor)
نرخ موفقیت (Win Rate)
تعداد معاملات سودده / زیانده
حداکثر افت سرمایه (Max Drawdown)
و موارد دیگر...
🚦 ۶. آیکونهای بازخورد معامله
با آیکونهای هوشمند، فوراً کیفیت معاملات بسته شده خود را ارزیابی کنید:
😎🚀 (سود ویژه و قابل توجه)
💰 (سود عادی)
🙈 (زیان)
📈 چگونه از این ابزار استفاده کنید؟
«طلاجوی» یک 'ماشین چاپ پول' جادویی نیست، بلکه یک ابزار تست و اجرای حرفهای است.
۱. بکتست و بهینهسازی (Backtesting)
مهمترین قدرت این اسکریپت، قابلیت Strategy بودن آن است. شما میتوانید این استراتژی را روی هر جفتارز و تایم فریمی که معامله میکنید (طلا، کریپتو، جفتارزها و...) بکتست بگیرید تا آمار عملکرد آن را مشاهده کنید.
۲. تنظیم پارامترها
از طریق منوی تنظیمات، پارامترهای کلیدی مانند درصد ریسک، نسبت ریسک به ریوارد (R:R)، و فیلترهای زمانی را مطابق با سبک معاملاتی و دارایی مورد نظر خود بهینهسازی کنید.
۳. اجرای سیستماتیک
پس از یافتن تنظیمات بهینه در بکتست، در معاملات زنده به سیگنالها پایبند بمانید و اجازه دهید منطق مکانیکی، معاملات شما را مدیریت کند.
⚠️ سلب مسئولیت مهم (مطابق با قوانین TradingView)
این اسکریپت صرفاً یک ابزار تحلیلی و معاملاتی است و نباید به عنوان سیگنال مالی یا توصیهای برای خرید و فروش تلقی شود. تمام معاملات دارای ریسک هستند و نتایج گذشته تضمینکننده عملکرد آینده نمیباشد.
لطفاً قبل از استفاده از این استراتژی در حساب واقعی، آن را به طور کامل در حالت دمو یا بکتست ارزیابی کنید. مسئولیت تمامی سودها و زیانها بر عهده خود معاملهگر است.
💎 TalaJooy V1.31 𓅂 Trading Strategy
TalaJooy (meaning "Gold Seeker") is a complete, professional trading framework for TradingView, designed to remove guesswork, emotion, and impulsive decisions from your trading process.
This is not a simple signal indicator; it is a complete Strategy script that automates four key tasks:
Market Analysis (Based on a quantitative scoring engine)
Signal Generation (Clear entries and exits)
Dynamic Risk Management (Automated Stop Loss calculation)
Position Sizing (Automated trade sizing based on risk)
The goal of "TalaJooy" is to transform intuitive trading into a mechanical, data-driven, and risk-managed process.
⚙️ Key Features (What You Get)
This strategy comes equipped with a suite of professional tools that run directly on your chart:
🎯 1. Clear Entry & Exit Signals
Receive unambiguous Buy (▲) and Sell (▼) arrows identifying precise entry points based on the strategy's logic. The system only generates signals when its trend-confirmation filters are aligned.
🛡️ 2. Dynamic ATR Risk Management
A trader's biggest challenge is setting a proper Stop Loss (SL). This strategy calculates your SL automatically and dynamically based on real-time market volatility (using ATR).
The Benefit: In volatile markets, your stop is placed at a safer distance to avoid being "stopped out" by noise. In calm markets, it's set tighter and more efficiently.
💰 3. Automated Position Sizing
Stop using external "position size calculators." The strategy automatically calculates the exact trade size for every position based on a fixed risk percentage of your total equity (which you define). This enforces professional money management on every trade.
🎨 4. Visual Profit & Loss (TP/SL) Zones
While a trade is active, this tool plots live, visual zones for your Take Profit (green) and Stop Loss (red) targets, similar to TradingView's native "Long/Short Position" tool.
📈 5. Advanced Performance Stats Panel
A comprehensive statistics table displays all your key performance metrics in real-time:
Net Profit (% and $)
Profit Factor
Win Rate
Win / Loss Trade Count
Max Drawdown
And more...
🚦 6. Smart Trade Feedback Icons
Instantly review the quality of your closed trades with intelligent emoji feedback:
😎🚀 (Exceptional Profit)
💰 (Standard Profit)
🙈 (Loss)
📈 How to Use This Tool
"TalaJooy" is not a "magic money machine"; it is a professional-grade tool for testing and execution.
1. Backtesting & Optimization
The most powerful feature of this script is its Strategy component. You can backtest it on any asset or timeframe you trade (Gold, Crypto, Forex, etc.) to see its historical performance data.
2. Parameter Tuning
Use the settings menu to optimize key parameters—such as Risk Percentage, Risk:Reward Ratio, and core filter settings—to match your personal trading style and preferred assets.
3. Systematic Execution
After identifying optimal settings via backtesting, adhere to the signals in your live trading and let the mechanical logic manage your trades.
⚠️ Important Disclaimer (TradingView Compliant)
This script is provided for educational and analytical purposes only. It is not financial advice or a recommendation to buy or sell any asset. All trading involves substantial risk. Past performance is not indicative of future results.
Please thoroughly evaluate this strategy via backtesting or paper trading before deploying it with real funds. The user assumes full responsibility for all profits and losses incurred.
1hr ichi v6Ichimoku adapted to a 1hr chart
Set margin for positions to "0"
Adjust the number of contracts to the maximum drawdown you will accept. I use 11-13%
USDJPY MA Zone Entry Strategy USD/JPY tested only.A consistent strategy that gives me alerts each time my conditions are met. I am a funded prop firm trader. this strategy gives 45-70% annual returns. the sequence for this strategy is: After 4 stop loss hits, place a trade on the NEXT ENTRY ALERT ONCE: (-.188) pips draw back towards the stop loss. (this turns the Strat from 1-3 RISK/REWARD to 1-7+ RISK/REWARD). keep the Stop Loss the same (-.300) away from your entry. Take Profit placed at (+1.488) from entry. if 3 losses in a row happens AFTER you've followed these instructions, don't trade again UNTIL the strategy has a TAKE PROFIT gain, then the sequence starts over again. that is this strategies losing streak. after that streak is over. the strategy will be back to give you profits.
Fincandle ATR Direction TrackerOverview
The Fincandle ATR Direction Tracker is a strategy designed to capture momentum moves in the market using a dynamic ATR-based trailing stop. It identifies strong momentum candles and filters signals using trend alignment with moving averages.
Partial exits allow users to take a portion of profit at a predefined ATR multiple while keeping the remaining position open until the opposite signal occurs.
How It Works
Momentum Detection:
Measures candle body size relative to the Average True Range (ATR).
A candle is considered momentum if its body size exceeds ATR × Multiplier.
Trend Filter:
Uses two moving averages (Fast MA and Slow MA) to determine the market trend.
Bullish trend: Fast MA > Slow MA → long trades allowed
Bearish trend: Fast MA < Slow MA → short trades allowed
Trend filter can be toggled on or off.
ATR Trailing Stop:
A dynamic trailing stop adapts to price volatility.
Crossing above the trail triggers a buy signal, crossing below triggers a sell signal.
Partial Exit / Take Profit:
Step 1: Exit 50% of the position when price moves a configurable multiple of ATR in your favor.
Step 2: Close the remaining position when the opposite signal occurs (e.g., price crosses below/above the ATR trail).
How to Use
Add the strategy to any chart (stocks, indices, forex, crypto).
Configure ATR period, sensitivity, take profit multiple, and moving average lengths to suit the timeframe and asset.
Monitor buy/sell markers and dynamic ATR trail on the chart.
Optional: Set alerts for real-time notifications when signals trigger.
Adjust partial exit multiplier to control risk/reward.
Example Settings
ATR Period: 10
ATR Sensitivity: 3 × ATR
Take Profit: 2 × ATR
Fast MA: 50
Slow MA: 200
Partial Exit: 50% of position at take profit, remaining exits on opposite signal
Key Features
Adaptive ATR trailing stop for volatility-based entries/exits.
Trend alignment filter with Fast/Slow MA.
Partial exit logic for better risk management.
Visual BUY/SELL markers and alerts.
Fully Pine Script v6 compatible.
Disclaimer
This strategy is for educational and analytical purposes only.
It does not guarantee profits. Traders should always use proper risk management.
Sniper Algo TradingThis indicator analyzes market momentum and trend shifts using advanced multi-timeframe algorithms. It helps visualize potential reversals, continuations, and momentum flips with clear, intuitive signals designed for experienced traders.
Built for precision and adaptability — suitable for crypto, forex, and indices.
Note: For educational use only. Not financial advice.
Momentum/Breakout Strategy A professional-grade trend–momentum hybrid strategy designed for high–timeframe precision and long-term consistency.
It combines exponential moving averages (EMA 20/50) to define directional bias, RSI and MACD to confirm momentum strength, and a manually coded ADX filter to validate market trend quality.
ATR-based stop placement and trailing mechanisms control downside volatility, while an optional daily EMA trend filter aligns trades with higher–timeframe direction for smoother performance.
High Breakout Strategy SmartMoneybreakout_lookback = input.int(52, title="Breakout Lookback Period", minval=1)
// Trend & Trailing Stop Filter
ema_length = input.int(15, title="EMA Length", minval=1)
// Risk Management
risk_percent = input.float(6.0, title="Risk Stop-Loss (%)", minval=0.1)
High Breakout Strategy SmartMoney// --- 1. INPUTS & CONFIGURATION ---
// Breakout
breakout_lookback = input.int(52, title="Breakout Lookback Period", minval=1)
// Trend & Trailing Stop Filter
ema_length = input.int(15, title="Stop EMA Length", minval=1)
// Risk Management
risk_percent = input.float(6.0, title="Risk Stop-Loss (%)", minval=0.1)
RSI Oversold/Overbought + SMA Crossover Strategymy first strat, to share with my friends, hope you all enjoy
Gold GC Renko Strategy Futures MGC MicrosRENKO SET UP FOR GC (1 CONTRACT)
TRADITIONAL
BOX SIZE 1
CHART TIMEFRAME 1 MINUTE
__________________________
REGULAR CANDLE SETUP FOR MGC (2 MICROS)
15 MIN TIMEFRAME
__________________________
This strategy trades pullbacks within a trend, using two EMAs (fast/slow) to define uptrends and downtrends. It waits for a volatility “squeeze” , then looks for momentum ignition to go long, while shorts require a cross and optional band break/downtrend confirmation. Risk is handled with fixed dollar profit target and stop-loss values (converted to ticks), with exits placed immediately after entries and an automatic flat-at-session-close (New York time). Signals and risk lines are plotted.






















