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PRIMO+ (dc_77)PRIMO+ (dc_77) - Advanced Multi-Session Trading System Overview This comprehensive trading indicator combines market structure analysis, Fair Value Gap (FVG) detection, and multi-timeframe bias assessment to identify high-probability trading opportunities during key market sessions. The system operates on a sophisticated framework that evaluates market sentiment across multiple reference points and provides complete trade management projections. Core Features Multi-Timeframe Bias System The indicator establishes directional bias by analyzing price action relative to four critical reference points: - 18:00 NY Open: Previous day's market opening level - 00:00 Midnight: Daily reset reference price - 09:30 NY Open: Current session market opening - 09:45 NY Open: Key institutional entry timeframe Bias Logic: - LONGS Bias: Price trading below ALL reference levels (institutional accumulation zone) - SHORTS Bias: Price trading above ALL reference levels (institutional distribution zone) - BEWARE: Mixed signals across reference points (avoid trading) Four-Session Architecture The system monitors four distinct trading sessions, each representing different market participant activities: 1. Session 1 (09:45-10:20): London/NY overlap - high liquidity period 2. Session 2 (10:45-11:30): NY continuation - institutional positioning 3. Session 3 (13:50-14:10): Pre-close positioning - smart money moves 4. Session 4 (15:50-16:05): Market close - final institutional plays Each session can be individually enabled/disabled with custom time ranges. Advanced Fair Value Gap Detection The indicator identifies three-candle imbalances using sophisticated filtering: FVG Classification: - Bullish FVGs: Gaps between candle 3 high and candle 1 low (upward imbalance) - Bearish FVGs: Gaps between candle 1 high and candle 3 low (downward imbalance) Dynamic Filtering System: - Bias alignment filtering (only shows FVGs aligned with overall market bias) - Trend direction filtering (FVGs must align with market structure) - Session-based activation/deactivation - Real-time gap validation and invalidation Market Structure Shift (MSS) Detection Proprietary swing-based algorithm identifies significant market structure changes: - Bullish MSS: Price breaks above previous significant high with trend confirmation - Bearish MSS: Price breaks below previous significant low with trend confirmation - Dynamic Lookback: Configurable swing detection sensitivity (4-5 bar pivots) Comprehensive Risk Management System When conditions align, the indicator projects complete trade setups: Entry Methodology: - FVG center point calculated using mathematical precision - Entry triggered only when MSS occurs with aligned bias - Confirmation timer prevents false signals (22-second default validation) Stop Loss Calculation: - Dynamic SL placement based on FVG displacement - 1.15x multiplier applied to gap distance for optimal risk positioning - Adaptive to market volatility and gap size Take Profit Projections: - Five sequential TP levels (1:1 through 1:5 risk-reward ratios) - Mathematical progression based on initial risk calculation - Visual projection lines extend into future bars Visual Signal System Trade Signals: - Green up arrows for bullish setups (positioned below stop loss level) - Red down arrows for bearish setups (positioned above stop loss level) - Optional date stamps showing signal generation time Projection Lines: - Entry level (gray dotted line) - Stop loss level (red line) - Multiple take profit levels (green lines with ratio labels) - Customizable line styles and widths Alert Integration Real-time notifications when complete setups form: - Bar-close confirmation prevents false alerts - Separate bull/bear alert messages - Integration with TradingView's alert system - Optional sound notifications Configuration Options Display Settings - Session Anchor Lines: Visual markers for session starts - MSS Lines: Market structure shift visualization - Trend Lines: ZigZag pattern display - Signal Arrows: Entry point indicators - Date Labels: Timestamp display for signals Color Customization - Bullish FVG color and transparency - Bearish FVG color and transparency - MSS line colors (separate bull/bear) - Projection line colors - Stop loss and take profit colors Risk Parameters - Confirmation time adjustment (prevents false signals) - Risk-reward multiplier customization - Projection line extension length - Label and arrow size options Usage Guidelines Trading Sessions Best performance during specified session times when institutional activity is highest. The system automatically adjusts for New York timezone. Entry Criteria All conditions must align for signal generation: 1. Appropriate market bias established 2. FVG present and validated within session 3. Market structure shift in aligned direction 4. Confirmation timer validation passed Risk Management - Always respect projected stop loss levels - Consider partial profit-taking at projected TP levels Important Disclaimers This indicator is for educational and analytical purposes. All trading involves risk, and past performance does not guarantee future results. Users should: - Practice proper risk management - Backtest thoroughly before live trading - Understand all system components before use - Never risk more than affordable loss amounts The system provides analysis tools and projections but does not guarantee profitable trades. Market conditions change rapidly, and no indicator can predict future price movements with certainty. Additional Risk Warnings and Disclaimers Trading Addiction and Mental Health: Trading can become psychologically addictive and may lead to compulsive behavior, financial ruin, and severe emotional distress. If you find yourself unable to stop trading, risking money you cannot afford to lose, neglecting personal relationships or responsibilities, or experiencing extreme emotional swings based on trading outcomes, please seek help from a qualified mental health professional. The excitement of potential profits can mask serious underlying issues with impulse control and risk-taking behavior. No Guarantee of Performance: This indicator has not been independently verified or audited. Backtesting results may not reflect actual trading conditions due to market slippage, execution delays, spread variations, and changing market dynamics. Historical performance is not indicative of future results, and all trading strategies can and do lose money. Market Risk Acknowledgment: Financial markets can experience extreme volatility, flash crashes, liquidity crises, and unprecedented events that render technical analysis ineffective. Economic announcements, geopolitical events, and central bank policies can cause rapid price movements that invalidate technical setups instantly. Position Sizing and Capital Preservation: Never risk more than 1-2% of your total account on any single trade. Proper position sizing is more important than any trading signal. Multiple consecutive losses are normal and expected - ensure your account can withstand extended drawdown periods without impairing your ability to continue trading or meet personal financial obligations. Educational Purpose Only: This tool is designed for educational analysis and should not be construed as personalized financial advice. Consult with qualified financial advisors before making investment decisions. The creators assume no responsibility for any financial losses incurred through use of this indicator.
Penunjuk Pine Script®
oleh dc_77
FiniteStateMachine🟩 OVERVIEW A flexible framework for creating, testing and implementing a Finite State Machine (FSM) in your script. FSMs use rules to control how states change in response to events. This is the first Finite State Machine library on TradingView and it's quite a different way to think about your script's logic. Advantages of using this vs hardcoding all your logic include: • Explicit logic : You can see all rules easily side-by-side. • Validation : Tables show your rules and validation results right on the chart. • Dual approach : Simple matrix for straightforward transitions; map implementation for concurrent scenarios. You can combine them for complex needs. • Type safety : Shows how to use enums for robustness while maintaining string compatibility. • Real-world examples : Includes both conceptual (traffic lights) and practical (trading strategy) demonstrations. • Priority control : Explicit control over which rules take precedence when multiple conditions are met. • Wildcard system : Flexible pattern matching for states and events. The library seems complex, but it's not really. Your conditions, events, and their potential interactions are complex. The FSM makes them all explicit, which is some work. However, like all "good" pain in life, this is front-loaded, and *saves* pain later, in the form of unintended interactions and bugs that are very hard to find and fix. 🟩 SIMPLE FSM (MATRIX-BASED) The simple FSM uses a matrix to define transition rules with the structure: state > event > state. We look up the current state, check if the event in that row matches, and if it does, output the resulting state. Each row in the matrix defines one rule, and the first matching row, counting from the top down, is applied. A limitation of this method is that you can supply only ONE event. You can design layered rules using widlcards. Use an empty string "" or the special string "ANY" for any state or event wildcard. The matrix FSM is foruse where you have clear, sequential state transitions triggered by single events. Think traffic lights, or any logic where only one thing can happen at a time. The demo for this FSM is of traffic lights. 🟩 CONCURRENT FSM (MAP-BASED) The map FSM uses a more complex structure where each state is a key in the map, and its value is an array of event rules. Each rule maps a named condition to an output (event or next state). This FSM can handle multiple conditions simultaneously. Rules added first have higher priority. Adding more rules to existing states combines the entries in the map (if you use the supplied helper function) rather than overwriting them. This FSM is for more complex scenarios where multiple conditions can be true simultaneously, and you need to control which takes precedence. Like trading strategies, or any system with concurrent conditions. The demo for this FSM is a trading strategy. 🟩 HOW TO USE Pine Script libraries contain reusable code for importing into indicators. You do not need to copy any code out of here. Just import the library and call the function you want. For example, for version 1 of this library, import it like this: import SimpleCryptoLife/FiniteStateMachine/1 See the EXAMPLE USAGE sections within the library for examples of calling the functions. For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script User Manual. 🟩 TECHNICAL IMPLEMENTATION Both FSM implementations support wildcards using blank strings "" or the special string "ANY". Wildcards match in this priority order: • Exact state + exact event match • Exact state + empty event (event wildcard) • Empty state + exact event (state wildcard) • Empty state + empty event (full wildcard) When multiple rules match the same state + event combination, the FIRST rule encountered takes priority. In the matrix FSM, this means row order determines priority. In the map FSM, it's the order you add rules to each state. The library uses user-defined types for the map FSM: • o_eventRule : Maps a condition name to an output • o_eventRuleWrapper : Wraps an array of rules (since maps can't contain arrays directly) Everything uses strings for maximum library compatibility, though the examples show how to use enums for type safety by converting them to strings. Unlike normal maps where adding a duplicate key overwrites the value, this library's `m_addRuleToEventMap()` method *combines* rules, making it intuitive to build rule sets without breaking them. 🟩 VALIDATION & ERROR HANDLING The library includes comprehensive validation functions that catch common FSM design errors: Error detection: • Empty next states • Invalid states not in the states array • Duplicate rules • Conflicting transitions • Unreachable states (no entry/exit rules) Warning detection: • Redundant wildcards • Empty states/events (potential unintended wildcards) • Duplicate conditions within states You can display validation results in tables on the chart, with tooltips providing detailed explanations. The helper functions to display the tables are exported so you can call them from your own script. 🟩 PRACTICAL EXAMPLES The library includes four comprehensive demos: Traffic Light Demo (Simple FSM) : Uses the matrix FSM to cycle through traffic light states (red → red+amber → green → amber → red) with timer events. Includes pseudo-random "break" events and repair logic to demonstrate wildcards and priority handling. Trading Strategy Demo (Concurrent FSM) : Implements a realistic long-only trading strategy using BOTH FSM types: • Map FSM converts multiple technical conditions (EMA crosses, gaps, fractals, RSI) into prioritised events • Matrix FSM handles state transitions (idle → setup → entry → position → exit → re-entry) • Includes position management, stop losses, and re-entry logic Error Demonstrations : Both FSM types include error demos with intentionally malformed rules to showcase the validation system's capabilities. 🟩 BRING ON THE FUNCTIONS f_printFSMMatrix(_mat_rules, _a_states, _tablePosition)   Prints a table of states and rules to the specified position on the chart. Works only with the matrix-based FSM.   Parameters:      _mat_rules (matrix)      _a_states (array)      _tablePosition (simple string)   Returns: The table of states and rules. method m_loadMatrixRulesFromText(_mat_rules, _rulesText)   Loads rules into a rules matrix from a multiline string where each line is of the form "current state | event | next state" (ignores empty lines and trims whitespace). This is the most human-readable way to define rules because it's a visually aligned, table-like format.   Namespace types: matrix   Parameters:      _mat_rules (matrix)      _rulesText (string)   Returns: No explicit return. The matrix is modified as a side-effect. method m_addRuleToMatrix(_mat_rules, _currentState, _event, _nextState)   Adds a single rule to the rules matrix. This can also be quite readble if you use short variable names and careful spacing.   Namespace types: matrix   Parameters:      _mat_rules (matrix)      _currentState (string)      _event (string)      _nextState (string)   Returns: No explicit return. The matrix is modified as a side-effect. method m_validateRulesMatrix(_mat_rules, _a_states, _showTable, _tablePosition)   Validates a rules matrix and a states array to check that they are well formed. Works only with the matrix-based FSM. Checks: matrix has exactly 3 columns; no empty next states; all states defined in array; no duplicate states; no duplicate rules; all states have entry/exit rules; no conflicting transitions; no redundant wildcards. To avoid slowing down the script unnecessarily, call this method once (perhaps using `barstate.isfirst`), when the rules and states are ready.   Namespace types: matrix   Parameters:      _mat_rules (matrix)      _a_states (array)      _showTable (bool)      _tablePosition (simple string)   Returns: `true` if the rules and states are valid; `false` if errors or warnings exist. method m_getStateFromMatrix(_mat_rules, _currentState, _event, _strictInput, _strictTransitions)   Returns the next state based on the current state and event, or `na` if no matching transition is found. Empty (not na) entries are treated as wildcards if `strictInput` is false. Priority: exact match > event wildcard > state wildcard > full wildcard.   Namespace types: matrix   Parameters:      _mat_rules (matrix)      _currentState (string)      _event (string)      _strictInput (bool)      _strictTransitions (bool)   Returns: The next state or `na`. method m_addRuleToEventMap(_map_eventRules, _state, _condName, _output)   Adds a single event rule to the event rules map. If the state key already exists, appends the new rule to the existing array (if different). If the state key doesn't exist, creates a new entry.   Namespace types: map   Parameters:      _map_eventRules (map)      _state (string)      _condName (string)      _output (string)   Returns: No explicit return. The map is modified as a side-effect. method m_addEventRulesToMapFromText(_map_eventRules, _configText)   Loads event rules from a multiline text string into a map structure. Format: "state | condName > output | condName > output | ..." . Pairs are ordered by priority. You can have multiple rules on the same line for one state. Supports wildcards: Use an empty string ("") or the special string "ANY" for state or condName to create wildcard rules. Examples: " | condName > output" (state wildcard), "state | > output" (condition wildcard), " | > output" (full wildcard). Splits lines by , extracts state as key, creates/appends to array with new o_eventRule(condName, output). Call once, e.g., on barstate.isfirst for best performance.   Namespace types: map   Parameters:      _map_eventRules (map)      _configText (string)   Returns: No explicit return. The map is modified as a side-effect. f_printFSMMap(_map_eventRules, _a_states, _tablePosition)   Prints a table of map-based event rules to the specified position on the chart.   Parameters:      _map_eventRules (map)      _a_states (array)      _tablePosition (simple string)   Returns: The table of map-based event rules. method m_validateEventRulesMap(_map_eventRules, _a_states, _a_validEvents, _showTable, _tablePosition)   Validates an event rules map to check that it's well formed. Checks: map is not empty; wrappers contain non-empty arrays; no duplicate condition names per state; no empty fields in o_eventRule objects; optionally validates outputs against matrix events. NOTE: Both "" and "ANY" are treated identically as wildcards for both states and conditions. To avoid slowing down the script unnecessarily, call this method once (perhaps using `barstate.isfirst`), when the map is ready.   Namespace types: map   Parameters:      _map_eventRules (map)      _a_states (array)      _a_validEvents (array)      _showTable (bool)      _tablePosition (simple string)   Returns: `true` if the event rules map is valid; `false` if errors or warnings exist. method m_getEventFromConditionsMap(_currentState, _a_activeConditions, _map_eventRules)   Returns a single event or state string based on the current state and active conditions. Uses a map of event rules where rules are pre-sorted by implicit priority via load order. Supports wildcards using empty string ("") or "ANY" for flexible rule matching. Priority: exact match > condition wildcard > state wildcard > full wildcard.   Namespace types: series string, simple string, input string, const string   Parameters:      _currentState (string)      _a_activeConditions (array)      _map_eventRules (map)   Returns: The output string (event or state) for the first matching condition, or na if no match found. o_eventRule   o_eventRule defines a condition-to-output mapping for the concurrent FSM.   Fields:      condName (series string) : The name of the condition to check.      output (series string) : The output (event or state) when the condition is true. o_eventRuleWrapper   o_eventRuleWrapper wraps an array of o_eventRule for use as map values (maps cannot contain collections directly).   Fields:      a_rules (array) : Array of o_eventRule objects for a specific state.
Perpustakaan Pine Script®
oleh SimpleCryptoLife
Premium ORB + ICT [GC Trading Systems] v1📘 Premium ORB + ICT – Documentation The Ultimate DOL Tool is a complete liquidity-based trading framework. It maps out key market levels where liquidity pools often form and provides structured entry models to help traders align with institutional order flow. 🔑 Features - Opening Range Breakout (ORB) – Plots the high/low of the selected opening range. - Session Levels – Automatically marks Asia, London, Previous Day, and Overnight highs/lows. - Fair Value Gaps (FVGs) – Highlights imbalances that occur above or outside of the ORB. - Higher-Timeframe FVGs (HTF FVGs) – Displays imbalances from higher timeframes for added context. Three Entry Models: - Reversal Model – iFVG above/below ORB (longs below ORB & shorts above ORB) - FVG Trend Model – FVG rebalances above/below ORB (longs above ORB & shorts below ORB) - iFVG Trend Model – iFVGs above/below ORB (longs above ORB & shorts below ORB) 📖 Key Concepts Opening Range Breakout (ORB) The Opening Range is the high and low of a defined initial period (e.g., the first 15/30/60 minutes of a session). - Acts as the first liquidity pool of the day. - Breakouts or reversals from these levels often set the tone for intraday moves. Fair Value Gaps (FVGs) A Fair Value Gap forms when price moves so quickly that a “gap” is left between three candles: - Candle 1 wick does not overlap with Candle 3 wick. - This creates an imbalance, showing inefficient price delivery. - Price may later return to this zone to “rebalance” before continuing. Higher-Timeframe FVGs (HTF FVGs) - Same principle as FVGs but drawn from higher timeframes (e.g., 1H, 4H, Daily). - Provides a bigger-picture view of liquidity and imbalance zones. - Acts as strong confluence for entries, targets, or areas of reaction. ⚙️ How to Use - Enable desired tools in the indicator settings (ORB, sessions, FVGs, HTF FVGs). - Monitor ORB and session levels for liquidity draws. - Use FVGs and HTF FVGs for context and confluence. - Scan entry models for valid setups. - Always pair setups with proper risk management. - Entry models are just possible entry ideas, don't use them as signals. beware of choppy price action. ⚠️ Disclaimer: This tool is for educational purposes only and does not guarantee profits. Trade responsibly.
Penunjuk Pine Script®
oleh yardcow
Sasmits Days of the weekidk bro. Nobody cares man. Okay idk whats ahppening they wont let me publish this shi until i yap hereidk bro. Nobody cares man. Okay idk whats ahppening they wont let me publish this shi until i yap hereidk bro. Nobody cares man. Okay idk whats ahppening they wont let me publish this shi until i yap hereidk bro. Nobody cares man. Okay idk whats ahppening they wont let me publish this shi until i yap hereidk bro. Nobody cares man. Okay idk whats ahppening they wont let me publish this shi until i yap here
Penunjuk Pine Script®
oleh sasmitBiceps
Delta Drift Allocator - StrategySummary Bar-close, drift-based allocation alerts that keep exposure centered around a user-set base with full compounding by default. One alert per bar close. Non-repainting. Invite-Only. Description Delta Drift Allocator monitors how far current exposure drifts from a reference profile. When drift exceeds your threshold, it issues a single bar-close instruction (BUY/SELL with quantity) to nudge exposure back toward center. The emphasis is path discipline—rules that react to swings without predicting direction—plus a simple one-alert workflow. A start-sync input lets you align the script with your actual initial fill so subsequent sizes match your account. Profit handling supports Reinvest (compound) or Skim to base (bookkeep excess). How to use (overview) Add to chart (recommended timeframe: 4h). Set Inputs: drift threshold, min notional, start method (Auto or Manual sync at your bar-close time + filled units). Create one alert: This strategy → Any alert() function call, Once per bar close. Leave Message empty. Execute externally: place BUY/SELL for exactly the shown qty (manual or your own webhook executor outside TradingView). Note: A detailled manual is provided after purchase. Why traders choose it Bar-close discipline (no intra-bar churn, non-repainting) Drift-responsive adjustments that can harvest parts of oscillations Full compounding by default; optional “skim to base” bookkeeping Start-sync to match real fills; minimal panel plots you can hide Access (Invite-Only) To request access, send me a PM on TradingView. You’ll receive detailled information about the process. Note: Requests for older strategies are no longer processed—please refer to this release only. Compliance Signals only; the script does not place orders or read balances. Backtests are approximations and are not indicative of future results. Markets involve risk, including possible loss. Extended one-way advances can lag all-in exposure; starting right after strong rallies may show initial drawdowns.
Strategi Pine Script®
oleh ClintEdwood
1
Pip distance by Jim Belardi//@version=5 indicator("Pip-Distanz zum Hoch/Tief (EURUSD)", overlay=true) // Pip-Faktor fix for EURUSD (5 Nachkommastellen, 1 Pip = 0.0001) pip_factor = 10000.0 // live candle current_price = close candle_high = high candle_low = low // calculate distance in pips dist_high_pips = (candle_high - current_price) * pip_factor dist_low_pips = (current_price - candle_low) * pip_factor // create table (once) var table pipTable = table.new(position.bottom_right, 2, 2, border_width=1, frame_color=color.gray) // updating table if barstate.islast table.cell(pipTable, 0, 0, "Distanz zum Hoch", text_color=color.red, text_size=size.large) table.cell(pipTable, 1, 0, str.tostring(dist_high_pips, format.mintick) + " Pips", text_color=color.red, text_size=size.large) table.cell(pipTable, 0, 1, "Distanz zum Tief", text_color=color.green, text_size=size.large) table.cell(pipTable, 1, 1, str.tostring(dist_low_pips, format.mintick) + " Pips", text_color=color.green, text_size=size.large)
Penunjuk Pine Script®
oleh belji938
Pip distance by Jim Belardi//@version=5 indicator("Pip-Distanz zum Hoch/Tief (EURUSD)", overlay=true) // Pip-Faktor fix for EURUSD (5 Nachkommastellen, 1 Pip = 0.0001) pip_factor = 10000.0 // live candle current_price = close candle_high = high candle_low = low // calculate distance in pips dist_high_pips = (candle_high - current_price) * pip_factor dist_low_pips = (current_price - candle_low) * pip_factor // create table (once) var table pipTable = table.new(position.bottom_right, 2, 2, border_width=1, frame_color=color.gray) // updating table if barstate.islast table.cell(pipTable, 0, 0, "Distanz zum Hoch", text_color=color.red, text_size=size.large) table.cell(pipTable, 1, 0, str.tostring(dist_high_pips, format.mintick) + " Pips", text_color=color.red, text_size=size.large) table.cell(pipTable, 0, 1, "Distanz zum Tief", text_color=color.green, text_size=size.large) table.cell(pipTable, 1, 1, str.tostring(dist_low_pips, format.mintick) + " Pips", text_color=color.green, text_size=size.large)
Penunjuk Pine Script®
oleh belji938