[Outperforms Bitcoin Since 2011] Professional MA StrategyThis Strategy OUTPEFORMS Bitcoin since 2011.
Timeframe: Daily
MA used (Fast and Slow): WMA (Weighted Moving Average)
Fast MA Length: 30 days (Reflects the Monthly Trend - Short Term Perspective)
Slow MA Length: 360 days (Reflects the Annual Trend - Long Term Perspective)
Position Size: 100% of equity
Margin for Long = 10% of equity
Margin for Short = 10% of equity
Open Long = Typical Price Crosses Above its Fast MA and Price is above its Slow MA
Open Short = Typical Price Crosses Below its Fast MA and Price is below its Slow MA
Close Long = Typical Price Crosses Below its Fast MA
Close Short = Typical Price Crosses Below its Fast MA
note: Typical Price = (high + low + close) / 3
Analisis Trend
Weekend Hunter Ultimate v6.2 Weekend Hunter Ultimate v6.2 - Automated Crypto Weekend Trading System
OVERVIEW:
Specialized trading strategy designed for cryptocurrency weekend markets (Saturday-Sunday) when institutional traders are typically offline and market dynamics differ significantly from weekdays. Optimized for 15-minute timeframe execution with multi-timeframe confluence analysis.
KEY FEATURES:
- Weekend-Only Trading: Automatically activates during configurable weekend hours
- Dynamic Leverage: 5-20x leverage adjusted based on market safety and signal confidence
- Multi-Timeframe Analysis: Combines 4H trend, 1H momentum, and 15M execution
- 10 Pre-configured Crypto Pairs: BTC, ETH, LINK, XRP, DOGE, SOL, AVAX, PEPE, TON, POL
- Position & Risk Management: Max 4 concurrent positions, -30% account protection
- Smart Trailing Stops: Protects profits when approaching targets
RISK MANAGEMENT:
- Maximum daily loss: 5% (configurable)
- Maximum weekend loss: 15% (configurable)
- Per-position risk: Capped at 120-156 USDT
- Emergency stops for flash crashes (8% moves)
- Consecutive loss protection (4 losses = pause)
TECHNICAL INDICATORS:
- CVD (Cumulative Volume Delta) divergence detection
- ATR-based dynamic stop loss and take profit
- RSI, MACD, Bollinger Bands confluence
- Volume surge confirmation (1.5x average)
- Weekend liquidity adjustments
INTEGRATION:
- Designed for Bybit Futures (0.075% taker fee)
- WunderTrading webhook compatibility via JSON alerts
- Minimum position size: 120 USDT (Bybit requirement)
- Initial capital: $500 recommended
TARGET METRICS:
- Win rate target: 65%
- Average win: 5.5%
- Average loss: 1.8%
- Risk-reward ratio: ~3:1
IMPORTANT DISCLAIMERS:
- Past performance does not guarantee future results
- Leveraged trading carries substantial risk of loss
- Weekend crypto markets have 13% of normal liquidity
- Not suitable for traders who cannot afford to lose their entire investment
- Requires continuous monitoring and adjustment
USAGE:
1. Apply to 15-minute charts only
2. Configure weekend hours for your timezone
3. Set up webhook alerts for automation
4. Monitor performance table in top-right corner
5. Adjust parameters based on your risk tolerance
This is an experimental strategy for educational purposes. Always test with small amounts first and never invest more than you can afford to lose completely.
EMA Crossover Cloud w/Range-Bound FilterA focused 1-minute EMA crossover trading strategy designed to identify high-probability momentum trades while filtering out low-volatility consolidation periods that typically result in whipsaw losses. Features intelligent range-bound detection and progressive market attention alerts to help traders manage focus and avoid overtrading during unfavorable conditions.
Key Features:
EMA Crossover Signals: 10/20 EMA crossovers with volume surge confirmation (1.3x 20-bar average)
Range-Bound Filter: Automatically detects when price is consolidating in tight ranges (0.5% threshold) and blocks trading signals during these periods
Progressive Consolidation Stages: Visual alerts progress through Range Bound (red) → Coiling (yellow) → Loading (orange) → Trending (green) to indicate market compression and potential breakout timing
Market Attention Gauge: Helps manage focus between active trading and other activities with states: Active (watch close), Building (check frequently), Quiet (check occasionally), Dead (handle other business)
Smart RSI Exits: Cloud-based and RSI extreme level exits with conservative stop losses
Dual Mode Operation: Separate settings allow full backtesting performance while providing visual stay-out warnings for manual trading
How to Use:
Entry Signals: Trade aqua up-triangles (long) and orange down-triangles (short) when they appear with volume confirmation
Stay-Out Warnings: Ignore gray "RANGE" triangles - these indicate crossovers during range-bound periods that should be avoided
Monitor Top-Right Display:
Range: Current 60-bar dollar range
Attention: Market activity level for focus management
Status: Consolidation stage (trade green/yellow, avoid red, prepare for orange)
Position Sizing: Default 167 shares per signal, optimized for the crossover frequency
Alerts: Enable consolidation stage alerts and market attention alerts for automated notifications
Recommended Settings:
Timeframe: 1-minute charts
Symbol: Optimized for volatile stocks like TSLA
"Apply Filter to Backtest": Keep OFF for realistic backtesting, ON to see filtered results
Risk Management:
The strategy includes built-in overtrading protection by identifying and blocking trades during low-volatility periods. The progressive consolidation alerts help identify when markets are "loading" for significant moves, allowing traders to position appropriately for higher-probability setups.
Triple Quad Frosty v4.5Triple Quad Frosty v4.5 is a Renko-friendly strategy that lets you trade from up to four signal sources per side. Orders are only placed when your chosen conditional filters (A/B/C) agree, giving you full control over when entries are valid. You decide how signals must line up — from simple single-source triggers to majority or full agreement across all four.
Renko-based, with customizable static stops, take profits, and trailing stops. Time/day filters, daily trade limits, and forced closures let you restrict trading to specific windows.
The HTF filters in Triple Quad Frosty v4.5 use a higher-timeframe Hull Moving Average (HMA) to confirm trend direction, while slope and distance settings on the local HMA help filter out weak or choppy setups. Longs only trigger when price is above the HTF HMA and meets slope/distance requirements, and shorts only when the opposite is true.
Color-coded labels mark each exit as a win or loss, with reversal trades labeled separately for clarity. Conditional bars plotted above and below the chart show when the A/B/C filters align on a long or short bias, giving clear visual confirmation of entry conditions. Stop loss and take profit levels are plotted directly on the chart with guide lines, so you can easily track active trade management in real time.
DMI Toolbox StrategyThe Directional Movement Index (DMI) was originally developed by J. Welles Wilder Jr. in 1978. Wilder introduced the DMI along with the Average Directional Index (ADX) in his book, “New Concepts in Technical Trading Systems,” which became a foundational reference for technical analysis.
The indicator can offer a myriad of signals for building a trading strategy. In an effort to provide the user with a meaningful way to evaluate these signals, this DMI Toolbox Strategy offers the chance to back-test various combinations and permutations of DMI signals on long trades. By default it will open a long position on the +DI (upward movement) crossing above the -DI (downward movement). By default, It exits long positions when the ADX (trend strength) reverses.
Suggested Use
Try a wide variety of long entry and exit signals across many different timeframes to see what is most effective for the item you wish to trade. There is a table in the upper right corner that will give a quick view of which signal is dominant across 5 timeframes, based on your current settings. Adjust the pyramidding, slippage, and commission values to more closely match your situation.
Visual Helpers
The DMI indicator has been altered to include a smoothed version of the ADX, as well as a colored background to show which signal is dominant (+DI or -DI). Small up arrows call your attention to ADX crossovers that may indicate a significant threshold in trend strength.
Trendline Breakout Strategy [KedArc Quant] Description
A single, rule-based system that builds two trendlines from confirmed swing pivots and trades their breakouts, with optional retest, trend-regime gates (EMA / HTF EMA), and ATR-based risk. All parts serve one decision flow: structure → breakout → gated entry → managed risk.
What it does (for traders)
Draws Up line (teal) through the last two Higher Lows and Down line (red) through the last two Lower Highs, then extends them forward.
Long when price breaks above red; Short when price breaks below teal.
Optional Retest entry: after a break, wait for a pullback toward the broken line within an ATR-scaled buffer.
Uses ATR stop and R-multiple target so risk is consistent across symbols/timeframes.
Labels HL1/HL2/LH1/LH2 so non-coders can verify which pivots built each line.
Why these components are combined
Pure breakout systems on trendlines suffer from three practical issues:
False breaks in chop → solved by trend-regime gates (EMA / HTF EMA) that only allow trades aligned with the prevailing trend.
Uneven volatility across markets/timeframes → solved by ATR-based stop/target, normalizing distance so R-multiples are comparable.
First break whipsaws near wedge apices → mitigated by the optional retest rule that demands a pullback/hold before entry.
These modules are not separate indicators with their own signals. They are support roles inside one method.
The pivot engine defines structure, the breakout detector defines signal, the regime gates decide if we’re allowed to take that signal, and the ATR module sizes risk.
Together they make the trendline breakout usable, testable, and explainable.
How it works (mechanism; each component explained)
1) Pivot engine (structure, non-repainting)
Swings are confirmed with ta.pivotlow/high(L, R). A pivot only exists after R bars (no look-ahead), so once plotted, the line built from those pivots will not repaint.
2) Trendline builder (geometry)
Teal line updates when two consecutive pivot lows satisfy HL2.price > HL1.price (and HL2 occurs after HL1).
Red line updates when two consecutive pivot highs satisfy LH2.price < LH1.price.
Lines are extended right and their current value is read every bar via line.get_price().
3) Breakout detector (signal)
On every bar, compute:
crossover(close, redLine) ⇒ Long breakout
crossunder(close, tealLine) ⇒ Short breakdown
4) Regime gates (trend filters, not separate signals)
EMA gate: allow longs only if close > EMA(len), shorts only if close < EMA(len).
HTF EMA gate (optional): same rule on a higher timeframe to avoid fighting the larger trend.
These do not create entries; they simply permit or block the breakout signal.
5) Retest module (optional confirmation)
After a breakout, record the line price. A valid retest occurs if price pulls back within an ATR-scaled buffer toward that broken line and then closes back in the breakout direction.
This reduces first-tick fakeouts.
6) Risk module (position exit)
Initial stop = ATR(len) × atrMult from entry.
Target = tpR × (ATR × atrMult) (e.g., 2R).
This keeps results consistent across instruments/timeframes.
Entries & exits
Long entry
Base: close breaks above red and passes EMA/HTF gates.
Retest (if enabled): after the break, price pulls back near the broken red line (within the ATR buffer) and holds; then enter.
Short entry
Mirror logic with teal (break below & gates), optionally with a retest.
Exit
strategy.exit places ATR stop & R-multiple target automatically.
Optional “flip”: close if the opposite base signal triggers.
How to use it (step-by-step)
Timeframe: 1–15m for intraday, 1–4h for swing.
Start defaults: Pivot L/R = 5, EMA len = 200, ATR len = 14, ATR mult = 2, TP = 2R, Retest = ON.
Tune sensitivity:
Faster lines (more trades): set L/R = 3–4.
Fewer counter-trend trades: enable HTF EMA (e.g., 60-min or Daily).
Visual audit: labels HL1/HL2 & LH1/LH2 show which pivots built each line—verify by eye.
Alerts: use Long breakout, Short breakdown, and Retest alerts to automate.
Originality (why it merits publication)
Trades the visualization: many “auto-trendline” tools only draw lines; this one turns them into testable, alertable rules.
Integrated design: each component has a defined role in the same pipeline—no unrelated indicators bolted together.
Transparent & non-repainting: pivot confirmation removes look-ahead; labels let non-coders understand the setup that produced each signal.
Notes & limitations
Lines update only after pivot confirmation; that lag is intentional to avoid repainting.
Breakouts near an apex can whipsaw; prefer Retest and/or HTF gate in choppy regimes.
Backtests are idealized; forward-test and size risk appropriately.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Structure Strategycreated to spot key area needed to take valid trades in most market conditions. use beside RSI MACD
Hazel nut BB Strategy, volume base- lite versionHazel nut BB Strategy, volume base — lite version
Having knowledge and information in financial markets is only useful when a trader operates with a well-defined trading strategy. Trading strategies assist in capital management, profit-taking, and reducing potential losses.
This strategy is built upon the core principle of supply and demand dynamics. Alongside this foundation, one of the widely used technical tools — the Bollinger Bands — is employed to structure a framework for profit management and risk control.
In this strategy, the interaction of these tools is explained in detail. A key point to note is that for calculating buy and sell volumes, a lower timeframe function is used. When applied with a tick-level resolution, this provides the most precise measurement of buyer/seller flows. However, this comes with a limitation of reduced historical depth. Users should be aware of this trade-off: if precise tick-level data is required, shorter timeframes should be considered to extend historical coverage .
The strategy offers multiple configuration options. Nevertheless, it should be treated strictly as a supportive tool rather than a standalone trading system. Decisions must integrate personal analysis and other instruments. For example, in highly volatile assets with narrow ranges, it is recommended to adjust profit-taking and stop-loss percentages to smaller values.
◉ Volume Settings
• Buyer and seller volume (up/down volume) are requested from a lower timeframe, with an option to override the automatic resolution.
• A global lookback period is applied to calculate moving averages and cumulative sums of buy/sell/delta volumes.
• Ratios of buyers/sellers to total volume are derived both on the current bar and across the lookback window.
◉ Bollinger Band
• Bands are computed using configurable moving averages (SMA, EMA, RMA, WMA, VWMA).
• Inputs allow control of length, standard deviation multiplier, and offset.
• The basis, upper, and lower bands are plotted, with a shaded background between them.
◉ Progress & Proximity
• Relative position of the price to the Bollinger basis is expressed as percentages (qPlus/qMinus).
• “Near band” conditions are triggered when price progress toward the upper or lower band exceeds a user-defined threshold (%).
• A signed score (sScore) represents how far the close has moved above or below the basis relative to band width.
◉ Info Table
• Optional compact table summarizing:
• - Upper/lower band margins
• - Buyer/seller volumes with moving averages
• - Delta and cumulative delta
• - Buyer/seller ratios per bar and across the window
• - Money flow values (buy/sell/delta × price) for bar-level and summed periods
• The table is neutral-colored and resizable for different chart layouts.
◉ Zone Event Gate
• Tracks entry into and exit from “near band” zones.
• Arming logic: a side is armed when price enters a band proximity zone.
• Trigger logic: on exit, a trade event is generated if cumulative buyer or seller volume dominates over a configurable window.
◉ Trading Logic
• Orders are placed only on zone-exit events, conditional on volume dominance.
• Position sizing is defined as a fixed percentage of strategy equity.
• Long entries occur when leaving the lower zone with buyer dominance; short entries occur when leaving the upper zone with seller dominance.
◉ Exit Rules
• Open positions are managed by a strict priority sequence:
• 1. Stop-loss (% of entry price)
• 2. Take-profit (% of entry price)
• 3. Opposite-side event (zone exit with dominance in the other direction)
• Stop-loss and take-profit levels are configurable
◉ Notes
• This lite version is intended to demonstrate the interaction of Bollinger Bands and volume-based dominance logic.
• It provides a framework to observe how price reacts at band boundaries under varying buy/sell pressure, and how zone exits can be systematically converted into entry/exit signals.
When configuring this strategy, it is essential to carefully review the settings within the Strategy Tester. Ensure that the chosen parameters and historical data options are correctly aligned with the intended use. Accurate back testing depends on applying proper configurations for historical reference. The figure below illustrates sample result and configuration type.
Trend Strength Index Long Strategy📈 Trend Strength Index Long Strategy
This strategy combines the Trend Strength Index (TSI) with a Volume-Weighted Moving Average (VWMA) to identify high-probability long entries based on trend momentum and price confirmation.
📊 TSI Calculation : Measures correlation between price and time (bar index) over a user-defined period. Strong TSI values indicate trend momentum.
📏 VWMA Filter : Confirms bullish bias when price is above the VWMA.
🚀 Entry Condition : Long position is triggered when TSI crosses above -0.65 and price is above VWMA.
🔒 Exit Condition : Position is closed when TSI crosses above 0.65.
🎨 Visuals : Gradient fills highlight bullish and bearish zones. VWMA is plotted for trend context.
🧮 TSI Length: Adjustable (default 14)
📐 VWMA Length: Adjustable (default 55)
💸 Commission: 0.1% per trade
📊 Position Size: 75% of equity
⚙️ Slippage: 10 ticks
✅ Best used in trending markets with steady momentum.
⚠️ Avoid in choppy or range-bound conditions.
Advanced Crypto Day Trading - Bybit Optimized mapercivEMA RSI ATR MACD trading script strategy with filters for weekdays
MS - Crypto RSI-Based Trading StrategyThis is a comprehensive trend-following and momentum-based strategy designed for the cryptocurrency market. It combines multiple leading indicators to filter out market noise and generate high-quality buy and sell signals.
Key Indicators:
Moving Average (MA): To determine the main trend direction.
Relative Strength Index (RSI): To measure momentum and identify overbought/oversold conditions.
Directional Movement Index (DMI): To confirm the strength of the trend.
Volume & ATR: To validate market interest and filter out excessive volatility.
Buy Conditions (All Must Be True):
Price and Trend Alignment: The current price is above the MA50 (with a 5% buffer).
Momentum Confirmation: The RSI is between 50 and 70.
Trend Strength: The +DI is greater than the -DI.
Market Interest: Volume is 1.5 times its moving average.
Low Volatility: The ATR is below its average.
Sell Conditions (Any One Is True):
Trend Reversal: The price drops below the MA50 (with a 5% buffer).
Momentum Loss: The RSI drops below 45.
Trend Weakness: The -DI crosses above the +DI.
Market Fatigue: Volume drops below 50% of its moving average.
High Volatility: The ATR is above its average.
Disclaimer: This is a backtesting tool and not financial advice. Past performance is not an indicator of future results. Always use proper risk management and conduct your own research before trading.
Pivot Points Strategy🟢 It enters long trades near support zones (S1–S3)
🔴 It enters short trades near resistance zones (R1–R3)
🎯 All positions aim to exit at the central pivot (P).
🚫 It avoids trading when price crosses the pivot during the bar.
🔄 Strategy resets when a new pivot is calculated.
📊 Supports pyramiding up to 5 positions for scaling in.
MS - Çoklu Onay Stratejisi (AL-SAT)"VOLUME, MA50, RSI, DMI, ATR
5 conditions, all turning positive at the same time gives a buy signal; one of them turning negative gives a sell signal. This should be evaluated with weekly data. Not financial advice."
AMF PG Strategy_v2The AMF PG Strategy (Praetorian Guard) is an advanced trading system designed to seamlessly adapt to market conditions. Its unique structure balances precise entries with intelligent protection, giving traders confidence in both trending and volatility environments.
Key points include:
Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts for clearer long- and short-term opportunities and generates a robust tracking line.
Praetorian Guard – A built-in protective shield that activates in extreme conditions and helps stabilize performance when markets become turbulent.
Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity – Clear visual signals and color-coded monitoring for instant decision-making.
This strategy is designed for traders who want more than just entries and exits; it offers a command center for disciplined, adaptable, and resilient trading.
Disclaimer:
It should be noted that no strategy is guaranteed. This strategy does not provide buy-sell-hold advice. Responsibility rests with the user.
Version 2: Bugs overlooked in Version 1 have been corrected and improvements have been made.
AVWAP+RSI Confluence — 1R TesterRSI + 1R ATR - Monthly P\&L (v4)
WHAT THIS STRATEGY DOES (OVERVIEW)
* Pine strategy (v4) that combines a simple momentum trigger with a symmetric 1R ATR risk model and an on-chart Monthly/Yearly P\&L table.
* Momentum filter: trades only when RSI crosses its own SMA in the direction of the trend (price vs Trend EMA).
* Risk engine: exits use fixed 1R ATR brackets captured at entry (no drifting targets/stops).
* Accounting: the table aggregates percentage returns by month and year using strategy equity.
ENTRY LOGIC (LONGS & OPTIONAL SHORTS)
Indicators used:
* RSI(rsiLen) and its SMA: SMA(RSI, rsiMaLen)
* Trend filter: EMA(emaTrendLen) on price
Longs:
1. RSI crosses above its RSI SMA
2. RSI > rsiBuyThr (filters weak momentum)
3. Close > EMA(emaTrendLen)
Shorts (optional via enableShort):
1. RSI crosses below its RSI SMA
2. RSI < rsiSellThr
3. Close < EMA(emaTrendLen)
EXIT LOGIC AND RISK MODEL (1R ATR)
* On entry, snapshot ATR(atrLen) into atrAtEntry and the average fill price into entryPx.
* Longs: stop = entryPx - ATR \* atrMult; target = entryPx + ATR \* atrMult
* Shorts: mirrored.
* Stops and targets are posted immediately and remain fixed for the life of the trade.
POSITION SIZING AND COSTS
* Default position size: 25% of equity per trade (adjustable in Properties/inputs).
* Commission percent and a small slippage are set in strategy() so backtests include friction by default.
MONTHLY / YEARLY P\&L TABLE (HOW IT WORKS)
* Uses strategy equity to compute bar returns: equity / equity\ - 1.
* Compounds bar returns into current month and current year; commits each finished period at month/year change (or last bar).
* Renders rows as years; columns Jan..Dec plus a Year total column.
* Cells colored by sign; precision and maximum rows are controlled by inputs.
* Values represent percentage returns, not currency P\&L.
VISUAL AIDS
* Two pivot trails (pivot high/low) are plotted for context only; they do not affect entries or exits.
CUSTOMIZATION TIPS
* Raise rsiBuyThr (long) or lower rsiSellThr (short) to filter weak momentum.
* Increase emaTrendLen to tighten trend alignment.
* Adjust atrLen and atrMult to fit your timeframe/instrument volatility.
* Leave enableShort = false if you prefer long-only behavior or shorting is constrained.
NON-REPAINTING AND BACKTEST NOTES
* Signals use bar-close crosses of built-in indicators (RSI, EMA, ATR); no future bars are referenced.
* calc\_on\_every\_tick = true for responsive visuals; Strategy Tester evaluates on bar close in history.
* Backtest stop/limit fills are simulated and may differ from live execution/liquidity.
DISCLAIMERS
* Educational use only. This is not financial advice. Markets involve risk. Past performance does not guarantee future results.
INPUTS (QUICK REFERENCE)
* rsiLen, rsiMaLen, rsiBuyThr, rsiSellThr
* emaTrendLen
* atrLen, atrMult, enableShort
* leftBars, rightBars, prec, showTable, maxYearsRows
SHORT TAGLINE
RSI momentum with 1R ATR brackets and a built-in Monthly/Yearly P\&L table.
TAGS
strategy, RSI, ATR, trend, risk-management, backtest, Pine-v4
AMF PG Strategy AMF Command Center Strategy (Praetorian Guard)
The AMF PG Strategy (Praetorian Guard) is an advanced trading system built to adapt seamlessly across market conditions. Its unique structure balances precision entries with intelligent protection, giving traders confidence in both trending and volatile environments.
Key highlights include:
Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts and generates a powerful tracking line for clearer long and short opportunities.
Praetorian Guard – A built-in protective shield that activates in extreme conditions, helping stabilize performance when markets become turbulent.
Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity – Clean visual signals and color-coded tracking for instant decision-making.
This strategy was designed for traders who want more than just entries and exits — it offers a command center for disciplined, adaptive, and resilient trading.
Golden Cross + Support/Resistance + SL/TP + SignalsGolden Cross + Support/Resistance + SL/TP + Signals
Golden Cross + Support/Resistance + SL/TP + Signals
Liquidity Sweep Breakout - LSBLiquidity Sweep Breakout - LSB
A professional session-based breakout system designed for OANDA:USDJPY and other JPY pairs.
Not guesswork, but precision - built on detailed observation of institutional moves to capture clear trade direction daily.
Master the Market’s Daily Bank Flow.
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Strategy Detail:
I discovered this strategy after carefully studying how Japanese banks influence the forex market during their daily settlement period. Banks are some of the biggest players in the financial world, and when they adjust or settle their accounts in the morning, it often creates a push in the market. From years of observation, I noticed a consistent pattern, once banks finish their settlements, the market usually continues moving in the same direction that was formed right after those actions. This daily banking flow often sets the tone for the entire trading session, especially for JPY pairs like USDJPY.
To capture this move, I built the indicator so that it follows the bank-driven trend with clear rules for entries, stop-loss (SL), and take-profit (TP). The system is designed with professional risk management in mind. By default, it assumes a $10,000 account size, risks only 1% of that balance per trade, and targets a 1:1.5 reward-to-risk ratio. This means for every $100 risked, the potential profit is $150. Such controlled risk makes the system safer and more sustainable for long-term traders. At the same time, users are not limited to this setup, they can adjust the account balance in the settings, and the indicator will automatically recalculate the lot size and risk levels based on their own capital. This ensures the strategy works for small accounts and larger accounts alike.
🌍 Why It Works
Fundamentally driven: Based on **daily Japanese banking settlement flows**.
Session-specific precision: Targets the exact window when USDJPY liquidity reshapes.
Risk-managed: Always calculates lot size based on account and risk preferences.
Automatable: With webhook + MT5 EA, it can be fully hands-free.
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✅ Recommended
Pair: USDJPY (best observed behavior).
Timeframe: 3-Minute chart.
Platform: TradingView Premium (for webhooks).
Execution: MT5 via EA.
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🔎 Strategy Concept
The Tokyo Magic Breakout (TMB) is built on years of session observation and the unique daily rhythm of the Japanese banking system.
Every morning between 5:50 AM – 6:10 AM PKT (09:50 – 10:10 JST), Japanese banks perform daily reconciliation and settlement. This often sets the tone for the USDJPY direction of the day.
This strategy isolates that critical moment of liquidity adjustment and waits for a clean breakout confirmation. Instead of chasing noise, it executes only when price action is aligned with the Tokyo market’s hidden flows.
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🕒 Timing Logic
Session Start: 5:00 AM PKT (Tokyo market open range).
Magic Candle: The 5:54 AM PKT candle is marked as the reference “breakout selector.”
Checkpoints: First confirmation at 6:30 AM PKT, then every 15 minutes until 8:30 AM PKT.
* If price stays inside the magic range → wait.
* If a breakout happens but the candle wick touches the range → wait for the next checkpoint.
* If by 8:30 AM PKT no clean breakout occurs → the day is marked as No Trade Day (NTD).
👉 Recommended timeframe: 3-Minute chart (3M) for precise signals.
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📈 Trade Execution
Entry: Clean break above/below the magic candle’s range.
Stop-Loss: Opposite side of the Tokyo session high/low.
Take-Profit: Calculated by Reward\:Risk ratio (default 1.5:1).
Lot Size: Auto-calculated based on your risk model:
* Fixed Dollar
* % of Equity
* Conservative (minimum of both).
Visuals include:
✅ Entry/SL/TP lines
✅ Shaded risk (red) and reward (green) zones
✅ Trade labels (Buy/Sell with lot size & levels)
✅ TP/SL hit markers
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🔔 Alerts & Automation (AutoTMB)
This strategy is fully automation-ready with EA + MT5:
1. Enable alerts in TMB settings.
2. Insert your PineConnector License Key.
3. Configure your risk management preferences.
4. Create a TradingView alert → in the message box simply type:
Pine Script®
{{alert_message}}
and set the EA webhook.
Now, every breakout trade (with exact entry, SL, TP, and lot size) is sent instantly.
👉 On your MT5:
* Install the EA.
* Use the same license key.
* Run it on a VPS or local MT5 terminal.
You now have a hands-free trading system: AutoTMB.
HMK-2 | PCA-1 + Rejim + Chebyshev + VWAP (Input'lu, v6)📌 HMK-2 | PCA-1 + Regime + Chebyshev + VWAP Strategy
1️⃣ Core Structure
Instead of relying on a single indicator, this system uses the Z-Score normalized average of three oscillators (RSI, MFI, ROC).
Signal (PCA-1):
RSI(14), MFI(14), ROC(5) → each is converted into a z-score.
Their average becomes the “composite signal,” our PCA-1 value.
Trend direction: If the Z-score EMA is rising → trend UP. If falling → trend DOWN.
2️⃣ Side Filters
Regime Filter (ADX + EMA)
ADX is calculated manually.
If ADX > 20 → trend exists → a 50-period EMA of this value smooths it.
This turns “trend regime” into a probability between 0–1.
Chebyshev Filter
A return series is checked against mean ± k*sigma bands.
If the return is within this band → valid signal. Extreme moves are filtered out.
VWAP Filter
Long trades: price must be above VWAP.
Short trades: price must be below VWAP.
Trades are only taken on the correct side of institutional cost averages.
3️⃣ Entry Conditions
Long:
PCA-1 signal crosses above threshold.
Trend Up + Regime OK + Chebyshev OK + Above VWAP.
Short:
PCA-1 signal crosses below threshold.
Trend Down + Regime OK + Chebyshev OK + Below VWAP.
4️⃣ Exit Mechanism
Main Exit: ATR-based stop/target.
Stop = entry price – ATR × (SL factor).
Take profit = entry price + ATR × (TP factor).
Additional Exit:
If price crosses to the opposite side of VWAP.
If PCA-1 signal crosses zero.
👉 Prevents trades from being locked, makes exits adaptive.
5️⃣ Labels / Visualization
AL / SHORT → entry points.
SAT / COVER → exit points.
VWAP line plotted in blue.
🧩 Strategy Features
Optimizable parameters:
Z-window (zWin)
Threshold
Chebyshev factor
ATR stop/target multipliers
This system works with:
Disciplined core (PCA-1 signal)
Triple protection (Regime + Chebyshev + VWAP)
Adaptive exits (ATR + VWAP/signal cross)
👉 Not a “single-indicator robot,” but a multi-filtered trade direction engine.
💡 Final Note
This is a base model of the system — open for further development.
I’ve shared the logic to give you a roadmap.
If you spot errors, fix them → that’s how you’ll improve it.
Don’t waste time asking me questions — refine and build it better yourselves.
Wishing you profitable trades. Stay well 🙏
