The 1 High/Low StrategyThis strategy takes advantage of price Support and Resistance at High and Low level points of the day to enter high Risk to Reward positions with a high win rate.
תמיכה והתנגדות
Gann High Low Strategy## Trend & Structure Strategy — Overview
This strategy is designed to follow directional market moves by using a **dynamic price reference** to identify transitions between strength and weakness.
### Core concept
* It visually highlights when the market shifts from a **favorable phase** to an **unfavorable phase**, and vice versa.
* Signals are generated only when price behavior shows **minimum structural consistency**, helping to avoid random or low-quality conditions.
### Entries & trade management
* Entries aim to align with moments where price shows a **renewed directional intent**.
* Trade management is based on **technical price references**, allowing risk and objectives to adapt naturally to the current market context.
* Key directional and operational areas are clearly displayed on the chart to keep decision-making simple and visual.
### Best use cases
* Performs best in markets with **clear directional movement** and readable transitions.
* In very tight or choppy conditions, a more selective approach may be required.
*This content is for educational purposes only. Always test on different markets and timeframes before live use.*
RSI Risk | AlgoFy TraderRSI Risk | AlgoFy Trader
Overview
The RSI Risk | AlgoFy Trader is a trading system that combines RSI-based entry signals with automated capital management. This strategy identifies potential momentum shifts while controlling risk through calculated position sizing.
Key Features
Dynamic Risk Management:
Fixed Risk Per Trade: Users set maximum risk percentage per trade.
Automatic Position Sizing: Calculates position size based on stop-loss distance.
Capital Protection: Limits each trade's risk to user-defined percentage.
RSI Entry System:
Momentum Detection: Uses RSI crossovers above/below defined thresholds.
Clear Signals: Provides long/short entries on momentum transitions.
Multiple Exit Layers:
Dynamic Stop Loss: Stop based on recent price structure.
Fixed Safety Stop: Optional percentage-based stop loss.
Partial Take Profit: Optional early profit-taking.
Trailing Stop: Optional dynamic profit protection.
Performance Tracking:
Trade Statistics: Tracks win/loss streaks and performance metrics.
Monthly Dashboard: Shows monthly/yearly P&L with equity views.
Trade Details: Displays risk percentage and position size.
How It Works
Signal Detection: Monitors RSI for crossover events.
Risk Calculation: Determines stop-loss based on recent volatility.
Position Sizing: Calculates exact position to match risk percentage.
Example:
Account: $10,000 | Risk: 2% ($200 max)
Stop loss at 4% distance
Position size: $5,000
Result: 4% loss on $5,000 = $200 (2% of account)
Recommended Settings
Risk: 1-2% per trade
Enable fixed stop at 3-4%
Consider trailing stop activation
This script provides disciplined RSI trading with automated risk control, adjusting exposure while maintaining strict risk limits.
Session Opening Range Breakout (ORBO)This strategy automates a classic Opening Range Breakout (ORBO) approach: it builds a price range for the first minutes after the market opens, then looks for strong breakouts above or below that range to catch early directional moves.
Concept
The idea behind ORBO is simple:
The first minutes after the session open are often highly informative.
Price forms an “opening range” that acts as a mini support/resistance zone.
A clean breakout beyond this zone can lead to high-momentum moves.
This script turns that logic into a fully backtestable strategy in TradingView.
How the strategy works
Opening Range Session
Default session: 09:30–09:50 (exchange time)
During this window, the script tracks:
orHigh → highest high within the session
orLow → lowest low within the session
This forms your Opening Range for the day.
Breakout Logic (after the window ends)
Once the defined session ends:
Long Entry:
If the close crosses above the Opening Range High (orHigh),
→ strategy.entry("OR Long", strategy.long) is triggered.
Short Entry:
If the close crosses below the Opening Range Low (orLow),
→ strategy.entry("OR Short", strategy.short) is triggered.
Only one opening range per day is considered, which keeps the logic clean and easy to interpret.
Daily Reset
At the start of a new trading day, the script resets:
orHigh := na
orLow := na
A fresh Opening Range is then built using the next session’s 09:30–09:50 candles.
This ensures entries are always based on today’s structure, not yesterday’s.
Visuals & Inputs
Inputs:
Opening range session → default: "0930-0950"
Show OR levels → toggle visibility of OR High / Low lines
Fill range body → optional shaded zone between OR High and OR Low
Chart visuals:
A green line marks the Opening Range High.
A red line marks the Opening Range Low.
Optional yellow fill highlights the entire OR zone.
Background shading during the session shows when the range is currently being built.
These visuals make it easy to see:
Where the OR sits relative to current price
How clean / noisy the breakout was
How often price respects or rejects the opening zone
Backtesting & Optimization
Because this is written as a strategy():
You can use TradingView’s Strategy Tester to view:
Win rate
Net profit
Drawdown
Profit factor
Equity curve
Ideas to experiment with:
Change the session window (e.g., 09:15–09:45, 10:00–10:30)
Apply to different:
Markets: indices, FX, crypto, stocks
Timeframes: 1m / 5m / 15m
Add your own:
Stop Loss & Take Profit levels
Time filters (only trade certain days / times)
Volatility filters (e.g., ATR, range size thresholds)
Higher-timeframe trend filter (e.g., only take longs above 200 EMA)
AliceTears GridAliceTears Grid is a customizable Mean Reversion system designed to capitalize on market volatility during specific trading sessions. Unlike standard grid bots that place blind limit orders, this strategy establishes a daily or session-based "Baseline" and looks for price over-extensions to fade the move back to the mean.
This strategy is best suited for ranging markets (sideways accumulation) or specific forex sessions (e.g., Asian Session or NY/London overlap) where price tends to revert to the opening price.
🛠 How It Works
1. The Baseline & Grid Generation At the start of every session (or the daily open), the script records the Open price. It then projects visual grid lines above and below this price based on your Step % input.
Example: If the Open is $100 and Step is 1%, lines are drawn at $101, $102, $99, $98, etc.
2. Entry Logic: Reversal Mode This script features a "Reversal Mode" (enabled by default) to filter out "falling knives."
Standard Grid: Buys immediately when price touches the line.
AliceTears Logic: Waits for the price to breach a grid level and then close back inside towards the mean. This confirms a potential rejection of that level before entering.
3. Exit Logic
Target Profit: The primary target is the previous grid level (Mean Reversion).
Trailing Stop: If the price continues moving in your favor, a trailing stop activates to maximize the run.
Stop Loss: A manual percentage-based stop loss is available to prevent deep drawdowns in trending markets.
⚙️ Key Features
Visual Grid: Automatically draws entry levels on the chart for the current session, helping you visualize where the "math" is waiting for price.
Timezone & Session Control: Includes a custom Timezone Offset tool. You can trade specific hours (e.g., 09:30–16:00) regardless of your chart's UTC setting.
Grid Management: Independent logic for Long and Short grids with pyramiding capabilities.
Safety Filters: Options to force-close trades at the end of the session to avoid overnight gaps.
⚠️ Risk Warning
Please Read Before Using: This is a Counter-Trend / Grid Strategy.
Pros: High win rate in sideways/ranging markets.
Cons: In strong trending markets (parabolic pumps or crashes), this strategy will add to losing positions ("catch a falling knife").
Recommendation: Always use the Stop Loss and Date Filter inputs. Do not run this on highly volatile assets without strict risk management parameters.
Settings Guide
Entry Reversal Mode: Keep checked for safer entries. Uncheck for aggressive limit-order style execution.
Grid Step (%): The distance between lines. For Forex, use lower values (0.1% - 0.5%). For Crypto, use higher values (1.0% - 3.0%).
UTC Offset: Adjust this to align the Session Hours with your target market (e.g., -5 for New York).
This script is open source. Feel free to use it for educational purposes or modify it to fit your trading style.
Anchor SafeSwing Gold StrategyOverview:
The Anchor SafeSwing Gold Strategy is designed for users who prefer structured, rule-based swing trading on XAUUSD. It focuses on identifying high-quality trade setups rather than frequent entries.
This strategy analyzes the market using multiple technical indicators and methods—including trend analysis, multi-chart confirmation, and support/resistance evaluation—to identify potential swing points. It also incorporates a dynamic approach to risk management through adaptive stop-loss and take-profit logic.
How the Strategy Works
1. Multi-Chart & Trend Analysis:
The strategy evaluates trend direction using several indicators and multiple charts. This helps determine whether the trend favors long or short setups.
2. Buy/Sell Conditions:
a. Buy Conditions: When the broader trend is identified as bullish, the strategy waits for the formation of a strong support zone before considering a long position.
b. Sell Conditions: When the trend is bearish, it waits for a confirmed resistance zone before initiating short positions.
3. Dynamic Take-Profit Logic
The strategy uses adaptive take-profit behavior based on evolving market conditions. It monitors new support/resistance structures and various overbought/oversold signals to dynamically exit trades.
4. Dynamic and Configurable Stop-Loss:
A flexible stop-loss system adjusts according to volatility and market structure.
Users can modify the stop-loss threshold in the settings based on their own risk tolerance and account size.
Trading Frequency :
This strategy focuses on select, high-quality setups. As a result, trade frequency is relatively low and may vary depending on market conditions. Backtesting may show roughly several trades per month, but actual live performance can differ.
Important Notes
All trading involves risk, and users should evaluate the strategy and adjust settings according to their own risk management preferences.
Trendviewer_Auctheo.Trendviewer 240 is built for traders who want clearer structure and fewer false starts. It reads higher-timeframe trend strength and turns it into a simple visual map on your active chart. You get precise directional bias, dynamic stop zones that adapt to current volatility, and optional filters that help you stay aligned with momentum instead of fighting it.
The script highlights areas where the trend is shifting, shows you when conditions are supportive for entries, and manages exits using a mix of adaptive levels and tiered targets. Everything is designed to keep your decision-making clean without cluttering the chart or revealing unnecessary details.
If you trade with the higher timeframe in mind but want the execution on the lower timeframe to feel controlled and confident, this tool will fit right in.
Please for free to contact us @theauctiontheorist@gmail.com
MOMO – Imbalance Trend (SIMPLE BUY/SELL)MOMO – Imbalance Trend (SIMPLE BUY/SELL)
This strategy combines trend breaks, imbalance detection, and first-tap supply/demand entries to create a clean and disciplined trading model.
It automatically highlights imbalance candles, draws fresh zones, and waits for the first retest to deliver precise BUY and SELL signals.
Performance
On optimized settings, this strategy shows an estimated 57%–70% win-rate, depending on the asset and timeframe.
Actual performance may vary, but the model is built for consistency, discipline, and improved decision-making.
How it works
Detects trend structure shifts (BOS / Break of Trend)
Identifies displacement (imbalance) candles
Creates supply and demand zones from imbalance origin
Waits for first tap only (no second chances)
Confirms direction using trend logic
Generates clean BUY/SELL arrows
Automatic SL/TP based on user settings
Features
Clean BUY/SELL markers
Auto-drawn supply & demand zones
Trend break markers
Imbalance tags
Smart first-tap confirmation
Customizable stop loss & take profit
Works on crypto, gold, forex, indices
Best on M5–H1 for day trading
Note
This strategy is designed for day traders who want clarity, structure, and zero emotional trading.
Use it with discipline — and it will serve you well.
Good luck, soldier.
5-min Strat Strategy V2 (With Stop Loss)README: 5-min Strat Strategy V2 – $7,500 Stop Loss Version
✅ Description
This is a rules-based intraday trading strategy developed for use on futures contracts like MNQ (Micro Nasdaq) or MES (Micro S&P). It focuses on momentum-based breakout entries above pre-market highs, during regular trading hours, and uses EMAs to define trend alignment.
⚙️ Strategy Components
✅ Trade Type
Long-Only strategy
Entry and exit based on EMAs, price position, and time windows
✅ Time Frame
Built for 5-minute charts
✅ Symbols
Optimized for MNQ (Micro Nasdaq Futures)
Works on MES or other U.S. index futures with similar structure
📅 Time Windows
Pre-Market Hours (PMH/PML): 04:00 – 09:30 AM EST
Regular Trading Hours (RTH): 09:30 AM – 4:00 PM EST
Auto Exit Time: 4:59 PM EST (to comply with prop firm rules)
📌 Entry Conditions (Long)
48 EMA > 200 EMA (Bullish alignment)
Price > Locked Pre-Market High
Green Candle (close > open)
During RTH (9:30–16:00 EST)
Cooldown: Must wait 4 candles after last entry
Max Trades per Day: 3
💥 Exit Conditions
Primary Exit: Close below the 48 EMA
Max Loss Exit: Stop loss set to $7,500 per trade
EOD Exit: All positions are closed at 4:59 PM EST
💰 Risk Management
Contracts: 6 Micro contracts per trade
Stop Loss: Dynamic point-based SL calculated based on:
MNQ point value = $20/point per contract
30 contracts = $120/point
Max SL points = $7,500 / $120 = 62.5 points
📊 Key Variables for Logging
Parameter Value
Max Stop Loss $7,500
Position Size 30 Micro Contracts - ***Varies depending on account size***
Cooldown Bars 4 (20 min)
Max Daily Trades 3
Strategy Version V2 – $7.5K SL
MoneyPlant-Auto Support Resistance V2.0
🧭 Overview
MoneyPlant – Auto Support Resistance is a professional-grade indicator designed to automatically detect dynamic Support and Resistance levels using real-time market structure.
It combines trend confirmation, structure analysis, and momentum logic to identify high-probability trading zones in all market conditions.
⚙️ Core Concept
This indicator uses a unique combination of classic and proprietary logic to filter only the most relevant S/R levels:
• Dynamic Support/Resistance Mapping: Detects strong reaction levels based on price structure, candle rejection points, and breakout validation.
• EMA & WMA Trend Filter: Uses a triple-moving-average model (default EMA 18, EMA 25, and WMA 7) to confirm current market bias.
• MACD Momentum Filter: Confirms trend strength and helps avoid false breakouts.
• Smart Alignment Logic: Generates signals only when structure, trend, and momentum all align in the same direction.
🧠 How It Works
1. Buy Setup:
When price breaks above a resistance level with bullish EMA/WMA alignment and positive MACD momentum → Buy Signal triggers.
2. Sell Setup:
When price breaks below a support level with bearish EMA/WMA alignment and negative MACD momentum → Sell Signal triggers.
3. Auto-Refreshing Zones:
Support and Resistance zones update dynamically as market structure evolves.
🎯 Best Use Cases
• Works effectively on Stocks, Indices, Forex, and Commodities (e.g., XAUUSD, NIFTY, BANKNIFTY ).
• Ideal for Intraday & Swing Trading (15 min – 1 hour timeframes).
• Fully compatible with TradingView alerts and automation tools.
💡 Key Features
✅ Automatic Support/Resistance detection
✅ Adaptive EMA + WMA + MACD trend logic
✅ Real-time Buy/Sell alerts
✅ Multi-timeframe compatibility
✅ Optimized for clean chart visuals
⚖️ Recommended Settings
• EMA Fast: 18
• EMA Slow: 25
• WMA Filter: 7
• MACD: Default parameters
(Users may adjust EMA/WMA settings according to their own trading style.)
🔒 How to Get Access
To get access to this invite-only script, please send me a private message on TradingView or use the link in my profile.
Once your username is added via Manage Access, you’ll be able to use the indicator.
🧾 Notes for Traders
This tool does not repaint, and it’s meant for educational and analytical purposes only.
Each license is valid for one TradingView username — no resale or redistribution is permitted.
Developed by MoneyPlant
Smart Automation for Professional Traders
Twisted Forex's Doji + Area StrategyTitle
Twisted Forex’s Doji + Area Strategy
Description
What this strategy does
This strategy looks for doji candles forming inside or near supply/demand areas . Areas are built from swing pivots and sized with ATR, then tracked for retests (“confirmations”). When a doji prints close to an area and quality checks pass, the strategy places a trade with the stop beyond the doji and a configurable R:R target.
How areas (zones) are built
• Swings are detected with a user-set pivot length.
• Each swing spawns a horizontal area centered at the pivot price with half-height = zoneHalfATR × ATR .
• Duplicates are de-duplicated by center distance (ATR-scaled).
• Areas fade when broken beyond a buffer or after an optional age (expiry).
• Retests are recorded when price touches and then bounces away from the area; repeated reactions increase the zone’s “strength”.
Signal logic (summary)
Doji detection: strict or loose body criteria with optional minimum wick fractions and ATR-scaled minimum range.
Proximity: price must be inside/near a supply or demand area (proxATR × ATR).
Side resolution: overlap is resolved by (a) which side price penetrates more, (b) fast/slow EMA trend, or (c) nearest distance. Optional “previous candle flip” can bias long after a bearish candle and short after a bullish one.
Optional 1-bar confirmation: the bar after the doji must close away from the area by confirmATR × ATR .
Quality filter (Off/Soft/Strict): four checks—(i) wick rejection past the edge, (ii) doji closes in an edge “band” of the area, (iii) fresh touch (cooldown), (iv) approach impulse over a short lookback. In Strict , thresholds auto-tighten.
Orders & exits
• Long: stop below doji low minus buffer; Short: above doji high plus buffer.
• Target = rrMultiple × risk distance .
• Pyramiding is off by default.
Position sizing
You can size from the script or from Strategy Properties:
• Script-driven (default): set Position sizing = “Risk % of equity” and choose riskPercent (e.g., 1.0%). The script applies safe floors/rounding (FX micro-lots by default) so quantity never rounds to zero.
• Properties-driven : toggle Use TV Properties → Order size ON, then pick “Percent of equity” in Properties (e.g., 1%). The header includes safe defaults so trades still place.
Key inputs to explore
• Zone building : pivotLen, zoneHalfATR, minDepartureATR, expiryBars, breakATR, leftBars, dedupeATR.
• Doji & proximity : strictDoji, dojiBodyFrac, minWickFrac, minRangeATR, proxATR, minBarsBetween.
• Overlap resolution : usePenetration, useTrend (EMA 21/55), “previous candle flip”, needNextBarConf & confirmATR.
• Quality : qualityMode (Off/Soft/Strict), minQualPass/kStrict, wickPenATR, edgeBandFrac, approachLookback, approachMinATR, freshTouchBars.
• Zone strength gating : minStrengthSoft / minStrengthStrict.
• HTF confluence (optional) : useHTFTrend (HTF EMA 34/89) and/or useHTFZoneProx (HTF swing bands).
Tips to make it cleaner / higher quality
• Turn needNextBarConf ON and use confirmATR = 0.10–0.15 .
• Increase approachMinATR (e.g., 0.35–0.45) to require a stronger pre-touch impulse.
• Raise minStrengthSoft/Strict (e.g., 4–6) so only well-reacted zones can signal.
• Use signalsOnlyConfirmed ON if you prefer trades only from zones with retests (the script falls back gracefully when none exist yet).
• Nudge proxATR to 0.5–0.6 to demand tighter proximity to the level.
• Optional: enable useHTFTrend to filter counter-trend setups.
Default settings used in this publication
• Initial capital: 100,000 (illustrative).
• Slippage: 1 tick; Commission: 0% (you can raise commission if you prefer—spread is partly modeled by slippage).
• Sizing: Risk % of equity via inputs; riskPercent = 1.0% ; FX uses micro-lot floors by default.
• Quality: Off by default (Soft/Strict available).
• HTF trend gate: Off by default.
Backtesting notes
For a meaningful sample size, test on liquid symbols/timeframes that yield 100+ trades (e.g., majors on 5–15m over 1–2 years). Backtests are modelled and broker costs/spread vary—validate on your feed and forward-test.
How to read the chart
Shaded bands are supply (above) and demand (below). Brighter bands are the nearest K per side (visual aid). BUY/SELL labels mark entries; colored dots show entry/SL/TP levels. You can hide zones or unconfirmed zones for a cleaner view.
Disclaimer
This is educational material, not financial advice. Trading involves risk. Always test and size responsibly.
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.
ORB FVG Strategy with telegram V6.1Summary
Intraday NY-session strategy with Opening-Range bias (09:30–10:00 NY), FVG entries (incl. optional HTF FVGs), momentum filters (LinReg slope & Williams %R), limit entries inside the zone, SL from FVG anchors, and TP via risk-reward. Includes session/trade caps, pending-order handling, auto-cancel at NY time, and optional Telegram webhook alerts.
Feature Overview
Opening Range & Bias: OR high/low built until 10:00 NY, then frozen. Bias from confirmed 5-minute candles (modes: Body Close, Complete Candle, Wick Only).
FVG Scanner: Bull/bear FVGs (choose wick or body gaps), min size, auto-extend, mitigation cleanup (touch or 50%).
HTF FVG (10 min): Optional – displayed after ≥ 2 consecutive FVGs; cleans up on touch/50%.
Entry/SL/TP: Entry at X% fill (+extra %) within the FVG; SL from FVG candle / FVG-1 / FVG-2 (smart) + buffer; TP via risk-reward.
Momentum Filters: LinReg slope (MLL) + Williams %R with threshold/slope filters (individually switchable).
Intrabar Mode (optional): Immediate Open/intrabar entry on touch (calc_on_every_tick=true) or classic bar-close confirmation (toggle).
Trade Management: Max trades/day, pending cap, auto-cancel at defined NY time, pause after first winner (optional).
Telegram: Programmatic alerts via alert() with Telegram-ready JSON payload.
Parameters (compact)
Group Parameter Purpose
Sessions Trading session, Opening range Trading/OR window (internal NY TZ)
Bias Body Close / Complete Candle / Wick Only Bias confirmation relative to OR
Liquidity LQ session, lookback days, cleanup points, show lines Intraday liquidity marks & cleanup
FVG Min size, wick/body, colors, extend, cleanup Detection/visualization & validity
HTF FVG (10 m) Toggle/Display/Colors Conservative HTF filter/POI
Entry Fill %, extra %, max pending, validity (bars), cancel time, intrabar switch Execution timing, order caps, auto-cancel
Stop Loss Source: Candle / -1 / -2 (smart), buffer (points) SL anchor from FVG history + safety offset
Take Profit Risk-Reward (R:R) Target calculation
Momentum LinReg length/min slope, W%R length/min slope, HUD Trend/momentum filters
Trade Mgmt Max trades/day, pause after win Daily cap / risk cooldown
Telegram Enabled, tester, interval, channel id Webhook output & test signals
Debug & Info Debug panel, rejection reasons On-chart status/diagnostics
Alerts / Telegram Webhook (Quick Setup)
Create an alert with Condition: “Any alert() function call”.
Webhook URL: api.telegram.org
Message: leave empty (the strategy provides JSON via alert() – includes chat_id, parse_mode, text).
Ensure your bot can post to the channel and the chat_id is valid.
Repainting & Backtesting
HTF series via lookahead_off on closed higher-TF candles; FVG detection on confirmed bars (barstate.isconfirmed).
Intrabar/Open entries allow earlier fills but typically cause differences between backtest and live (tick granularity/slippage, limit touch on bar OHLC).
For reproducibility, trade without intrabar (bar-close only).
Limitations
No full tick simulation; limit fills rely on bar OHLC.
Liquidity “cleanup” is rule-based (not an orderbook).
Telegram depends on correct webhook configuration.
Tips
Timeframes: M5 (intrabar)
Start with modest R:R (e.g., 1.5–2.0) and tune filters carefully.
Disclaimer
No financial advice. Past results do not guarantee future performance. Use responsibly and follow Public Library rules.
License / Credits
© 2025 Lean Trading (Lennart Pomreinke). License: MPL-2.0.
Changelog
V06.1: Intrabar switch (Open/intrabar vs bar-close), Telegram sanitizer & tester, HTF-FVG cleanup, refined pending/cancel logic, debug panel (status & rejections).
BDNS ORB Strategy v3BDNS Opening Range Breakout Strategy
What This Strategy Does This strategy implements an Opening Range Breakout (ORB) system that identifies the high and low prices during a customizable opening period, then trades breakouts above or below these levels with momentum confirmation. The strategy goes beyond basic ORB concepts by incorporating ADX momentum filtering, VWAP directional bias, dynamic position sizing, and sophisticated exit management including breakeven moves and trailing stops.
Core Strategy Logic
Opening Range Definition: The strategy tracks price action during a user-defined opening period (default: 9:30-9:35 AM ET for 5 minutes). During this time, blue horizontal lines appear marking the session high and low. A yellow background highlights this opening range period.
Breakout Detection: After the opening range completes, green and red horizontal lines appear showing the actual entry levels - these are offset from the range boundaries by a configurable number of ticks (default: 24 ticks) to filter out false breakouts and ensure committed moves.
Entry Conditions: Trades trigger when price breaks through these offset levels during the trading window (green background, default until 10:30 AM ET), but only when:
ADX momentum indicator exceeds threshold (default 24.0) in the breakout direction
Price relationship to VWAP confirms directional bias (when VWAP filter enabled)
Daily trade limits haven't been reached
Large range filtering conditions are met
Visual Elements and Usage
Range Lines: Blue lines show the actual opening range boundaries. These appear immediately when the opening session begins.
Entry Levels: Green (long) and red (short) lines show where trades will trigger, appearing after the opening range completes.
Information Table: A data table appears in the top-right showing real-time strategy status including range size in ticks, ADX readings, filter status, trade counts, and momentum conditions.
Position Management:
When in a trade, colored circles appear showing:
Lime circles: Long position targets (T1, T2, T3)
Orange circles: Short position targets
Red circles: Stop loss levels
Blue crosses: Breakeven levels (when that feature activates)
Purple lines: Trailing stop levels (when position 3 trailing activates)
Background Colors:
Yellow: Opening range session active
Green: Trading window active
Purple: Large range day detected
Gray: Large range day being skipped
Position Management System
The strategy uses a three-tier exit approach:
Position 1: Takes partial profits at first target (default 50% of range size)
Position 2: Exits at second target (default 100% of range size)
Position 3: Either exits at third target or uses trailing stop after Position 2 wins
Breakeven Feature: When enabled and price reaches the breakeven trigger level, all stop losses move to a more favorable breakeven level instead of the original stop, protecting against giving back profits.
Trailing Stop System: After Position 2 hits its target, Position 3 automatically switches to a trailing stop that moves in the trader's favor as price continues trending.
Customization for Different Instruments
The default settings are configured for MNQ (Micro NASDAQ futures) but the ORB concept is highly customizable for any futures instrument and timeframe. Range duration, breakout offsets, and filter thresholds should be adjusted based on the specific instrument's volatility characteristics and typical intraday patterns.
Filter Usage Guidelines
ADX Momentum Filter: Essential for avoiding breakouts during consolidation. Higher thresholds (30+) for trending markets, lower (20-25) for more opportunities.
VWAP Filter: Helpful in trending conditions but may reduce trade frequency. Better to disable during range-bound or mean-reverting periods.
Large Range Filter: Critical risk management tool. When the opening range exceeds your threshold:
Skip: Avoids trades when stops would be too large
Fade: Trades mean reversion back into the range
Trade: Takes breakouts regardless (higher risk)
Range Size Considerations: Setting a large range threshold (200-400 ticks) helps avoid days when both sides of the range get tested before any meaningful breakout occurs, which often leads to whipsaws.
Risk Management Features
Dynamic Stops and Targets: All exit levels scale with the opening range size, ensuring risk/reward remains consistent regardless of daily volatility. A 100-tick range day will have proportionally smaller stops than a 300-tick range day.
Position Sizing: Configure contract amounts for each position tier based on account size and risk tolerance.
Daily Trade Limits: Prevents overtrading by limiting trades per direction per day.
Breakout Offset: The tick offset from range boundaries is crucial - too small creates false signals, too large misses good moves. Test different values based on your instrument's typical noise levels.
Advanced Features
Large Third Target: Set Target 3 to 300-500% to essentially hold runners indefinitely, using the trailing stop as the primary exit method for capturing extended trends.
Fade Trading: On large range days, the strategy can trade mean reversion when initial breakouts fail, often providing good counter-trend opportunities.
Time-Based Exits: All positions close at the end of the trading window, preventing overnight risk.
Strategy Properties Used
Initial Capital: $5,000 (realistic for micro contract trading)
Commission: $0.50 per contract (realistic retail rates)
Position Size: 100% of equity (manages risk through contract quantities and stop placement)
Default quantities: 3/1/1 contracts across the three positions
The default settings assume larger account sizes or proprietary trading firm accounts where higher risk tolerance is acceptable. With MNQ at $0.50 per tick, a typical 200-tick opening range with 75% stop loss (150 ticks) would risk $375 on a 5-contract position. For smaller retail accounts, consider reducing position sizes significantly - using only Position 1 (3 contracts) would risk $225, or even reducing to 1-2 total contracts to maintain appropriate risk levels relative to account size.
Getting Started Apply the strategy to your preferred instrument
Adjust the opening range time and duration for your market
Set appropriate breakout offset based on typical noise levels
Configure large range threshold based on your risk tolerance
Test filter combinations to find what works best for your trading style
Adjust contract quantities based on your account size and risk management rules
The strategy works best on liquid instruments with clear opening sessions and sufficient volatility to generate meaningful ranges. Results will vary significantly based on market conditions, parameter settings, and the specific instrument traded.
I warrant that the information created and published by by me here on TradingView is not prohibited, doesn't constitute investment advice, and isn't created solely for qualified investors.
Institution Accumulation/DistributionLeveraging the Williams%R oscillator, the script has been optimized to pick out key turning point in the market specifically at Resistance (Overbought) or Support (Oversold)
The algo has been programmed to print both buy and sell alerts at extremes/when conditions flip eg a long position will be closed simultaneously opening a short position above resistance.
Best used as a scalping tool targeting 30m and below works well with currency pairs
EMA Deviation Strategy📌 Strategy: EMA Deviation Strategy
The EMA Deviation Strategy identifies potential reversal points by measuring how far the current price deviates from its Exponential Moving Average (EMA). It dynamically tracks the minimum and maximum deviation levels over a user-defined lookback period, and enters trades when price reaches extreme zones.
🔍 Core Logic:
• Buy Entry: When price deviates significantly below the EMA, approaching the historical minimum deviation — signaling a potential rebound.
• Sell Entry: When price deviates significantly above the EMA, nearing the historical maximum deviation — signaling a possible pullback.
• Optional Take Profit / Stop Loss: Manage risk with customizable exit levels.
⚙️ Customizable Inputs:
• EMA length and lookback period
• Threshold sensitivity for entry signals
• Take profit and stop loss percentages
📈 Best Used For:
• Mean reversion setups
• Assets with cyclical or range-bound behavior
• Identifying short-term overbought/oversold conditions
ICT OTE Strategy Crypto PublicICT OTE Strategy Crypto Public
This strategy automates a classic ICT (Inner Circle Trader) setup specifically tailored for the high-volatility nature of cryptocurrency markets. It aims to enter a trade on a retracement after a confirmed Break of Structure (BOS), using a dual-swing detection method to validate the market's direction before looking for an entry.
The entire process is automated, from identifying the market structure to managing the trade with advanced risk management options. This version uses a percentage of equity for its order sizing, which is ideal for crypto trading.
How It Works
Dual Swing Detection: The strategy uses two different sets of swing strengths to analyze market structure for higher accuracy:
Entry Swings: Weaker, more sensitive swings used to define the immediate dealing range for a potential trade.
Validator Swings: Stronger, more significant swings used to confirm a true Break of Structure.
Break of Structure (BOS): A trade setup is only considered valid after a strong "Validator" swing breaks through a previous "Entry" swing. This confirms the market's intended direction and filters out weak or false moves.
Identify Retracement Leg: After a confirmed BOS, the strategy identifies the most recent "Entry Swing" price leg that led to the break.
Auto-Fibonacci: It automatically draws a Fibonacci retracement over this leg, from the start of the move (1.0) to the end (0.0).
Trade Entry: A limit order is placed at a user-defined Fibonacci level (defaulting to 0.618), anticipating a price pullback into a discount or premium array.
After a bullish BOS, it looks to BUY the retracement.
After a bearish BOS, it looks to SELL the retracement.
Risk Management:
Stop Loss is placed at the start of the leg (the 1.0 level).
Take Profit is placed at a user-defined level (defaulting to the 0.0 level, with extension options).
Includes an option to move the stop loss to break-even after the trade has moved a certain distance in profit.
How to Use
Asset Selection: This strategy is designed for cryptocurrency markets. Its use of percentage-based order sizing is not suitable for tick-based markets like futures.
Swing Settings: Adjust the "Entry Swing" and "Validator" strengths to match the volatility and timeframe of the asset you are trading. Higher numbers will result in fewer, more significant setups.
Backtest: Use the Strategy Tester to optimize the "FIB Entry Level," "Take Profit Level," and "Swing Sensitivity" to find the best settings for your specific market and timeframe.
Yuri Garcia Smart Money Strategy FULL (COMPLIANT)Yuri Garcia Smart Money Strategy FULL (Slope Divergence)
This script is not a mashup of random indicators. It is an original, coherent strategy that blends multiple institutional-grade tools to form a unified Smart Money trading system. Each component contributes to precise trade filtering, context, and confirmation — no element is decorative or redundant.
🔍 Strategy Logic: How It Works
This strategy integrates the following tools, each with a clearly defined role:
1. Volume Cluster Zones (Orange bands)
Identifies strong buy/sell areas using the highest volume nodes over a rolling window. These act as dynamic points of control where Smart Money is likely active.
2. HTF Zones (4H) (Purple band)
Defines institutional zones by using the 20-bar high/low on the 4-hour chart. These set the outer bounds for valid entries, ensuring alignment with larger market structure.
3. Wick Pullback Filter (Orange circle 🔶)
Detects exhaustion or absorption near zones. Used to confirm genuine rejection after liquidity sweeps or traps.
4. Cumulative Delta Confirmation (Red square 🟥)
Analyzes whether buyers or sellers are dominant using delta volume. Trades only trigger when volume confirms the intended direction.
5. Slope-Based Delta Divergence (Optional)
Detects hidden reversals between price and delta. This prevents late entries and provides early insight into potential trap reversals.
6. Liquidity Grab Detection (Blue diamond 🔷)
Marks smart money stop hunts — temporary price breaks beyond highs/lows, followed by reversal. Used as a confluence tool.
7. ATR-Based Dynamic Risk Control
The strategy uses ATR to calculate SL/TP dynamically. This allows position sizing to adjust to volatility, reducing overexposure in high-momentum conditions.
🎯 Entry Criteria
All the following conditions must be met:
✅ Price is inside a Volume Cluster Zone
✅ Price is within the HTF Institutional Zone
✅ Wick Pullback confirms reaction
✅ Delta confirms strength of buyers/sellers
✅ (Optional) Slope-based divergence signals hidden shift
✅ (Optional) Liquidity grab occurs
Only then will the strategy trigger an entry.
📈 Visual Legend (Symbols on Chart)
Symbol Description
🟣 Purple Zone HTF Support/Resistance zone (4H context)
🟠 Orange Zone Volume cluster from top 3 volume nodes
🔶 Orange Circle Wick Pullback confirmation
🟥 Red Square Delta Confirmation
🔷 Blue Diamond Liquidity Grab indicator
🔵 Blue X Price is inside HTF Zone
🔻 Red Triangle SHORT entry signal
🔺 Green Triangle LONG entry signal
These visuals make it easier to read the chart intuitively while understanding each condition’s role.
⚙️ Strategy Settings Justification
Default Qty: 2% of equity (sustainable risk)
RRR: 2.0 (adaptive to volatility)
ATR Multiplier: 2.0 for SL/TP
Commission: 0.1% used
Slippage: 2 points for realism
Minimum Trades for Testing: Designed to generate over 100 trades under normal backtest conditions
Dataset: Supports BTC, GOLD, Forex, Indices with realistic volatility and volume
These settings reflect a realistic use case for average retail traders and avoid overfitting or unrealistic returns.
📌 How to Use
Apply on 15-minute or 1-hour timeframe.
Wait for full alignment of all entry conditions.
Confirm visually or use included alerts for manual or bot execution.
SL and TP are automatically handled.
🚫 Important Notes
This script is original, not a remix or mashup of unrelated indicators.
Each component was designed to work in harmony, enhancing trade quality and confidence.
No external scripts are required to function.
Alert messages are pre-formatted for both manual and webhook use.
ICT OTE StrategyStrategy Overview
This strategy is designed to automate a specific trading setup based on the concepts of Inner Circle Trader (ICT). Its primary goal is to identify significant market structure swings, frame a Fibonacci retracement over the most recent price leg, and execute a trade when the price pulls back to a key user-defined level. It is a counter-trend entry strategy, meaning it looks to enter a trade during a pullback within an established trend.
How It Works: Step-by-Step
1. Swing Detection:
The strategy first identifies significant swing highs and swing lows.
A swing high is confirmed only if it's higher than a specific number of bars to its left and right (defined by "Left Strength" and "Right Strength" in the settings).
The same logic applies to swing lows, which must be lower than the bars around them. This filtering ensures only structurally important turning points are considered.
2. Defining the Trading Range:
Once a new swing is confirmed, the strategy defines the most recent dealing range.
If a new swing high forms, the range is drawn from the previous swing low up to this new high. This is considered a bullish leg.
If a new swing low forms, the range is drawn from the previous swing high down to this new low. This is considered a bearish leg.
3. Fibonacci Retracement & Trade Setup:
An automatic Fibonacci retracement tool is drawn over this newly defined dealing range. The 0.0 level is placed at the end of the move, and the 1.0 level is at the beginning.
The strategy then prepares to enter a trade based on this range.
4. Trade Execution:
Entry: A limit order is placed at a specific Fibonacci level within the range, waiting for the price to retrace. The default entry is the 0.618 level, but this can be changed in the settings.
For a bullish leg, it places a LONG (Buy) order, anticipating that the price will bounce from the retracement level.
For a bearish leg, it places a SHORT (Sell) order, anticipating that the price will be rejected from the retracement level.
Stop Loss: The Stop Loss is automatically placed at the 1.0 level of the Fibonacci range. This is the point where the original trade idea is invalidated.
Take Profit: The Take Profit is automatically placed at the 0.0 level of the Fibonacci range. This is the target at the end of the price leg.
Key Features & Customization
Automated Trade Logic: The entire process, from identifying the setup to placing the entry, stop loss, and take profit, is fully automated.
Visual Aid: The script draws the swing points and the Fibonacci retracement on the chart, so you can visually confirm the setups the strategy is taking.
Customizable Entry: You can change the "Entry Level" in the settings to test different Fibonacci levels, such as the Optimal Trade Entry (OTE) at 0.705.
Toggle Visuals: You can turn the Fibonacci drawing on or off to keep your chart clean while still allowing the strategy to run in the background.
Buy The Dip - ENGThis script implements a grid trading strategy for long positions in the USDT market. The core idea is to place a series of buy limit orders at progressively lower prices below an initial entry point, aiming to lower the average entry price as the price drops. It then aims to exit the entire position when the price rises a certain percentage above the average entry price.
Here's a detailed breakdown:
1. Strategy Setup (`strategy` function):
`'거미줄 자동매매 250227'`: The name of the strategy.
`overlay = true`: Draws plots and labels directly on the main price chart.
`pyramiding = 15`: Allows up to 15 entries in the same direction (long). This is essential for grid trading, as it needs to open multiple buy orders.
`initial_capital = 600`: Sets the starting capital for backtesting to 600 USDT.
`currency = currency.USDT`: Specifies the account currency as USDT.
`margin_long/short = 0`: Doesn't define specific margin requirements (might imply spot trading logic or rely on exchange defaults if used live).
`calc_on_order_fills = false`: Strategy calculations happen on each bar's close, not just when orders fill.
2. Inputs (`input`):
Core Settings:
`lev`: Leverage (default 10x). Used to calculate position sizes.
`Investment Percentage %`: Percentage of total capital to allocate to the initial grid (default 80%).
`final entry Percentage %`: Percentage of the *remaining* capital (100 - `Investment Percentage %`) to use for the "semifinal" entry (default 50%). The rest goes to the "final" entry.
`Price Adjustment Length`: Lookback period (default 4 bars) to determine the initial `maxPrice`.
`price range`: The total percentage range downwards from `maxPrice` where the grid orders will be placed (default -10%, meaning 10% down).
`tp`: Take profit percentage above the average entry price (default 0.45%).
`semifinal entry price percent`: Percentage drop from `maxPrice` to trigger the "semifinal" larger entry (default -12%).
`final entry price percent`: Percentage drop from `maxPrice` to trigger the "final" larger entry (default -15%).
Rounding & Display:
`roundprice`, `round`: Decimal places for rounding price and quantity calculations.
`texts`, `label_style`: User interface preferences for text size and label appearance on the chart.
Time Filter:
`startTime`, `endTime`: Defines the date range for the backtest.
3. Calculations & Grid Setup:
`maxPrice`: The highest price point for the grid setup. Calculated as the lowest low of the previous `len` bars only if no trades are open. If trades are open, it uses the entry price of the very first order placed in the current sequence (`strategy.opentrades.entry_price(0)`).
`minPrice`: The lowest price point for the grid, calculated based on `maxPrice` and `range1`.
`totalCapital`: The amount of capital (considering leverage and `per1`) allocated for the main grid orders.
`coinRatios`: An array ` `. This defines the *relative* size ratio for each of the 11 grid orders. Later orders (at lower prices) will be progressively larger.
`totalRatio`: The sum of all ratios (66).
`positionSizes`: An array calculated based on `totalCapital` and `coinRatios`. It determines the actual quantity (size) for each of the 11 grid orders.
4. Order Placement Logic (`strategy.entry`):
Initial Grid Orders:
Runs only if within the specified time range and no position is currently open (`strategy.opentrades == 0`).
A loop places 11 limit buy orders (`Buy 1` to `Buy 11`).
Prices are calculated linearly between `maxPrice` and `minPrice`.
Order sizes are taken from the `positionSizes` array.
Semifinal & Final Entries:
Two additional, larger limit buy orders are placed simultaneously with the grid orders:
`semifinal entry`: At `maxPrice * (1 - semifinal / 100)`. Size is based on `per2`% of the capital *not* used by the main grid (`1 - per1`).
`final entry`: At `maxPrice * (1 - final / 100)`. Size is based on the remaining capital (`1 - per2`% of the unused portion).
5. Visualization (`line.new`, `label.new`, `plot`, `plotshape`, `plotchar`):
Grid Lines & Labels:
When a position is open (`strategy.opentrades > 0`), horizontal lines and labels are drawn for each of the 11 grid order prices and the "final" entry price.
Lines extend from the bar where the *first* entry occurred.
Labels show the price and planned size for each level.
Dynamic Coloring: If the price drops below a grid level, the corresponding line turns green, and the label color changes, visually indicating that the level has been reached or filled.
Plotted Lines:
`maxPrice` (initial high point for the grid).
`strategy.position_avg_price` (current average entry price of the open position, shown in red).
Target Profit Price (`strategy.position_avg_price * (1 + tp / 100)`, shown in green).
Markers:
A flag marks the `startTime`.
A rocket icon (`🚀`) appears below the bar where the `final entry` triggers.
A stop icon (`🛑`) appears below the bar where the `semifinal entry` triggers.
6. Exit Logic (`strategy.exit`, `strategy.entry` with `qty=0`):
Main Take Profit (`Full Exit`):
Uses `strategy.entry('Full Exit', strategy.short, qty = 0, limit = target2)`. This places a limit order to close the entire position (`qty=0`) at the calculated take profit level (`target2 = avgPrice * (1 + tp / 100)`). Note: Using `strategy.entry` with `strategy.short` and `qty=0` is a way to close a long position, though `strategy.exit` is often clearer. This exit seems intended to apply whenever any part of the grid position is open.
First Order Trailing Stop (`1st order Full Exit`):
Conditional: Only active if `trail` input is true AND the *last* order filled was "Buy 1" (meaning only the very first grid level was entered).
Uses `strategy.exit` with `trail_points` and `trail_offset` based on ATR values to implement a trailing stop loss/profit mechanism for this specific scenario.
This trailing stop order is cancelled (`strategy.cancel`) if any subsequent grid orders ("Buy 2", etc.) are filled.
Final/Semifinal Take Profit (`final Full Exit`):
Conditional: Only active if more than 11 entries have occurred (meaning either the "semifinal" or "final" entry must have triggered).
Uses `strategy.exit` to place a limit order to close the entire position at the take profit level (`target3 = avgPrice * (1 + tp / 100)`).
7. Information Display (Tables & UI Label):
`statsTable` (Top Right):
A comprehensive table displaying grouped information:
Market Info (Entry Point, Current Price)
Position Info (Avg Price, Target Price, Unrealized PNL $, Unrealized PNL %, Position Size, Position Value)
Strategy Performance (Realized PNL $, Realized PNL %, Initial/Total Balance, MDD, APY, Daily Profit %)
Trade Statistics (Trade Count, Wins/Losses, Win Rate, Cumulative Profit)
`buyAvgTable` (Bottom Left):
* Shows the *theoretical* entry price and average position price if trades were filled sequentially up to each `buy` level (buy1 to buy10). It uses hardcoded percentage drops (`buyper`, `avgper`) based on the initial `maxPrice` and `coinRatios`, not the dynamically changing actual average price.
`uiLabel` (Floating Label on Last Bar):
Updates only on the most recent bar (`barstate.islast`).
Provides real-time context when a position is open: Size, Avg Price, Current Price, Open PNL ($ and %), estimated % drop needed for the *next* theoretical buy (based on `ui_gridStep` input), % rise needed to hit TP, and estimated USDT profit at TP.
Shows "No Position" and basic balance/trade info otherwise.
In Summary:
This is a sophisticated long-only grid trading strategy. It aims to:
1. Define an entry range based on recent lows (`maxPrice`).
2. Place 11 scaled-in limit buy orders within a percentage range below `maxPrice`.
3. Place two additional, larger buy orders at deeper percentage drops (`semifinal`, `final`).
4. Calculate the average entry price as orders fill.
5. Exit the entire position for a small take profit (`tp`) above the average entry price.
6. Offer a conditional ATR trailing stop if only the first order fills.
7. Provide extensive visual feedback through lines, labels, icons, and detailed information tables/UI elements.
Keep in mind that grid strategies can perform well in ranging or slowly trending markets but can incur significant drawdowns if the price trends strongly against the position without sufficient retracements to hit the take profit. The leverage (`lev`) input significantly amplifies both potential profits and losses.
NY Opening Range Breakout - MA StopCore Concept
This strategy trades breakouts from the New York opening range (9:30-9:45 AM NY time) on intraday timeframes, designed for scalping and day trading.
Setup Requirements
Timeframe: Works on any timeframe under 15 minutes (1m, 2m, 3m, 5m, 10m)
Session: New York market hours
Range Period: 9:30-9:45 AM NY time (15-minute opening range)
Entry Rules
Long Entries:
Wait for a candle to close above the opening range high
Enter long on the next candle (before 12:00 PM NY time)
Must be above moving average if using MA-based take profit
Short Entries:
Wait for a candle to close below the opening range low
Enter short on the next candle (before 12:00 PM NY time)
Must be below moving average if using MA-based take profit
Risk Management
Stop Loss:
Long trades: Opening range low
Short trades: Opening range high
Take Profit Options:
Fixed Risk Reward: 1.5x the range size (customizable ratio)
Moving Average: Exit when price crosses back through MA
Both: Whichever comes first
Key Features
Trade Direction Options:
Long Only
Short Only
Both directions
Moving Average Filter:
Prevents entries that would immediately hit stop loss
Uses EMA/SMA/WMA/VWMA with customizable length
Acts as dynamic support/resistance
Time Restrictions:
No entries after 12:00 PM NY time (customizable cutoff)
One trade per direction per day
Daily reset of all variables
Visual Elements
Red/green lines showing opening range
Purple line for moving average
Entry and breakout signals with shapes
Take profit and stop loss levels plotted
Information table with current status
Strategy Logic Flow
Morning: Capture 9:30-9:45 range high/low
Wait: Monitor for breakout (previous candle close outside range)
Filter: Check MA condition if using MA-based exits
Enter: Trade on next candle after breakout
Manage: Exit at fixed TP, MA cross, or stop loss
Reset: Start fresh next trading day
This is a momentum-based breakout strategy that capitalizes on early market volatility while using the opening range as natural support/resistance levels.
Multi-Indicator Swing [TIAMATCRYPTO]v6# Strategy Description:
## Multi-Indicator Swing
This strategy is designed for swing trading across various markets by combining multiple technical indicators to identify high-probability trading opportunities. The system focuses on trend strength confirmation and volume analysis to generate precise entry and exit signals.
### Core Components:
- **Supertrend Indicator**: Acts as the primary trend direction filter with optimized settings (Factor: 3.0, ATR Period: 10) to balance responsiveness and reliability.
- **ADX (Average Directional Index)**: Confirms the strength of the prevailing trend, filtering out sideways or choppy market conditions where the strategy avoids taking positions.
- **Liquidity Delta**: A volume-based indicator that analyzes buying and selling pressure imbalances to validate trend direction and potential reversals.
- **PSAR (Optional)**: Can be enabled to add additional confirmation for trend changes, turned off by default to reduce signal filtering.
### Key Features:
- **Flexible Direction Trading**: Choose between long-only, short-only, or bidirectional trading to adapt to market conditions or account restrictions.
- **Conservative Risk Management**: Implements fixed percentage-based stop losses (default 2%) and take profits (default 4%) for a positive risk-reward ratio.
- **Realistic Backtesting Parameters**: Includes commission (0.1%) and slippage (2 points) to reflect real-world trading conditions.
- **Visual Signals**: Clear buy/sell arrows with customizable sizes for easy identification on the chart.
- **Information Panel**: Dynamic display showing active indicators and current risk settings.
### Best Used On:
Daily timeframes for cryptocurrencies, forex, or stock indices. The strategy performs optimally on assets with clear trending behavior and sufficient volatility.
### Default Settings:
Optimized for conservative position sizing (5% of equity per trade) with an initial capital of $10,000. The backtesting period (2021-2023) provides a statistically significant sample of varied market conditions.
