Black FridayСкидки до 80 %

Индикаторы и стратегии

PA Builder [PrimeAutomation]1. PA Builder – Overview PA Builder is not a fixed strategy; it’s a framework for building strategies. Instead of giving traders one rigid system, it provides a toolbox where entries, exits, filters, risk parameters, and automation rules can all be defined and combined. The core philosophy is confluence: the idea that a trade should only be taken when multiple independent signals agree. The Builder is built around this principle. Every module; trend, reactors, bands, reversals, volume, structure, divergences, externals can be treated as one layer of confidence. The stronger the alignment across layers, the higher the quality of the setup in theory. In practice, this means PA Builder encourages traders to think in terms of “confluence,” not single indicators. Trend and positioning define whether you should even be looking for longs or shorts. Timing tools such as bands, reversals and candlestick structures determine when inside that broader bias you want to engage. Confirmation tools like volume and flow tell you whether capital is actually supporting the move. Filter systems then ensure that even if everything looks good locally, you still respect higher-timeframe or opposing warnings. The Builder’s philosophy is simple: enter less often, but only when conditions are genuinely in your favour. 2. Core Entry Signal Components The entry logic in PA Builder is built on a set of signal engines that can be combined in many ways. Trend Signals form a natural foundation. They use low-lag low-pass filters, borrowed from audio signal processing, to extract directional bias from price without the classic delay of classical moving averages. The sensitivity parameter controls how reactive this engine is: lower values favour cleaner trends and fewer whipsaws, while higher values are better suited to short-term intraday trading where speed matters more than smoothness. Many traders start by requiring that Trend Signals show “all bullish” or “all bearish” before allowing any entries in that direction. Trend signals firing short positions On top of this directional backbone, the Dynamic Reactor behaves as an adaptive baseline. It accelerates in volatile phases and slows down during consolidation, effectively acting as a moving reference point for both trend and price position. A typical use of this module is to insist that, for long trades, the price sits above a bullish reactor; for shorts, below a bearish one. At the higher-timeframe level, the Quantum Reactor provides a VWAP-style reference that can be anchored to larger candles than the chart you are trading. A common configuration is to trade on a 15-minute chart while requiring that price is above the 4-hour Quantum Reactor for longs or below it for shorts. The “fast” and “slow” options determine how quickly this reference adapts to new information. Timing is then refined with tools like Quantum Bands, reversals and candle structure analysis. Quantum Bands identify extremes within the current environment. In an uptrend, a tag of the lower band can be treated as a pullback rather than a breakdown; in a downtrend, the upper band acts like a shorting zone. Many traders combine “trend up and above higher-timeframe reactor” with “price temporarily below lower band” to construct a mean-reversion entry inside a larger uptrend. Reversal detection modules examine recent bars to find turning points, with shorter lookbacks capturing fast flips and longer lookbacks tracking deeper structural changes. Candle structure logic goes beyond classical candlestick names and instead focuses on whether price action confirms follow-through or reversion behaviour, with options like “2X” modes that wait for two successive confirmations before acting. Before and after filtering using reactor applied. Additional confirmation layers come from Volume Matrix, Money Flow, OSC True7 and divergence detection. Volume and flow tools answer whether actual capital is participating in the move or whether price is drifting on thin activity. OSC True7 categorises the state of the trend into intuitive buckets, strong, healthy, neutral, or exhausted, making it easier to avoid chasing extremes. Divergences between price and momentum can be used either as entry triggers in contrarian systems or as hard filters that block trades when warning signs are present. Finally, two external indicator inputs make it possible to integrate RSI, MACD, custom indicators or even other strategies into the Builder, either as simple thresholds or as comparative logic between two external sources (for example, requiring a fast EMA to be above a slow EMA before allowing longs). 3. Exit System & Trade Management The exit systems in PA Builder are designed to be as vital as the entry logic. It assumes exits are not an afterthought, but half of the edge. Instead of forcing a single take profit point, the system uses a three-tier structure where you can assign different portions of the position to different targets. A common pattern is to scale out a small portion early (for example at one ATR), another portion at an intermediate level, and keep the largest slice for a deeper move. This creates a natural balance: you book something early to reduce emotional stress, while leaving room to participate in the full potential of a trend. Targets can be defined using ATR multiples or risk-to-reward ratios that are directly tied to the initial stop distance. Using ATR keeps exits proportional to current volatility. A two ATR target in a quiet environment is very different in absolute price distance from the same multiple in a high-volatility environment, yet conceptually it represents the same “size” move. Risk-to-reward exits build on this by ensuring that if you risk one unit (1R), the reward targets are set at predefined multiples of that risk. This enforces positive expectancy at the structural level: the strategy cannot generate entries with inherently negative payoffs. Once price begins to move in your favour, trailing logic takes over if you choose to enable it. Trailing can begin immediately from entry or only after a target has been hit. Many users prefer to let TP1 and TP2 behave as fixed profit points and then apply a trailing stop or trailing take profit to the final remainder. That way, routine winners are banked mechanically, while occasional explosive moves can be ridden for as long as the market allows. The breakeven module supports this behaviour by automatically moving stops to entry (or slightly through entry into profit) after a specified condition such as TP1 being hit. This transforms the risk profile mid trade: once breakeven has been secured, remaining size can be managed with much less psychological pressure. The system also recognises the cost of time. Kill Switch functionality exits trades that have been open too long under mediocre conditions, typically when they are in modest profit but not progressing. This protects you from capital being tied up while better opportunities appear elsewhere. Underlying all of this are several trailing stop mechanisms: percentage-based, tick-based for very short-term strategies, TP linked trailing that activates only once a certain profit threshold has been achieved, and ATR based trailing that automatically scales the trail distance with volatility. Each method serves a slightly different profile of strategy, but all share the same aim: preserve gains and limit downside in a structured way rather than rely on discretionary judgement after the fact. 4. Filters and Risk Management The filter systems in PA Builder formalise the idea that good trading is often about knowing when not to act. “Do Not Trade” conditions can be configured so that even a perfectly aligned bullish entry stack is overridden if certain bearish evidence is present. These can include higher timeframe reversal structures, powerful opposing divergences, or conflicting signals in key modules. By assigning conditions specifically to “Do Not Long” and “Do Not Short” rather than only to entries, you create asymmetry: buying requires bullish evidence and an absence of strong bearish warnings; selling requires the mirror. Volatility filters extend this logic to the regime level. Some strategies are inherently suited to low volatility, range bound environments where fading extremes is profitable; others require expansion and energy to function properly. By binding trading permission to volatility ranges, you ensure that a mean-reversion system does not blindly attempt to fade a breakout, and that a momentum system does not spin its wheels in a dead, sideways market. You can even reference volatility from a higher timeframe than the one you trade, so that a five-minute strategy is still aware of the broader one-hour volatility regime it sits inside. Applied DO NOT TRADE - removes poor signal Risk management and position sizing are configured so each trade is expressed in units of risk rather than arbitrary size. Leverage, in this framework, is simply a scaling factor for capital efficiency; the actual risk per trade is still controlled by the distance between entry and stop and the percentage of equity you choose to expose. Reinvestment options then decide what proportion of accumulated profit is fed back into position sizing. A more aggressive reinvestment setting accelerates compounding but increases the amplitude of drawdowns; a more conservative one smooths the equity curve at the cost of slower growth. The Base Trade Value parameter ties all of this together by deciding how much nominal capital or how many contracts are committed per trade in light of your maximum allowed simultaneous positions and your intended use of leverage. External exit conditions provide further flexibility. For example, you might design a system whose entries rely purely on PA Builder’s internal modules, but whose exits use RSI readings, moving average crosses, or a proprietary external indicator. The separation of entry and exit logic allows you to bolt on different behaviours at the tail end of trades while keeping your core signal engine intact. In all cases, the objective is the same: express risk in a controlled, repeatable way that can survive long stretches of unfavourable market conditions. 5. PDT, Cooldowns and Visual Modes For traders subject to Pattern Day Trading rules, PA Builder includes a day-trade tracking system that counts business days correctly and respects the three-trades-in-five-days limit. This goes beyond simple compliance; it forces discipline. When intraday trading is heavily constrained, you are naturally pushed toward swing-oriented strategies with fewer, more selective entries. The tool visually marks your PDT status so you never inadvertently cross the line and trigger a lockout. Cooldown systems address another reality: psychological vulnerability after streaks. Following several consecutive wins, many traders unconsciously loosen their standards, take marginal signals, oversize positions, or overtrade. A win-streak cooldown deliberately pauses trading after a configured number of wins, giving you time to reset. The same applies to losing streaks. After a run of losses, the strongest temptation is often to “make it back now,” which is exactly when discipline is weakest. A loss-streak cooldown enforces a break in activity during this high-risk emotional state, helping to prevent cascading damage driven by revenge trading. Visualisation comes in two main modes. Classic mode emphasises precision: it draws explicit entry lines, stop levels, target levels and fill zones, making it easy to audit risk/reward on each trade, verify that the exit logic behaves as intended, and review historical trades in detail. Modern mode emphasises market feel: instead of focusing on exact levels, it colours candles and backgrounds to reflect momentum, profit state and dynamics. This helps you see at a glance whether a strategy is operating in a smooth trending environment or a choppy, fragmented one, and whether current trades are broadly working or struggling. Many users develop and debug in Classic mode and then monitor live performance in Modern mode, so both representations become part of the workflow. 6. Strategy Design Workflow, Examples and Cautions Designing with PA Builder is inherently iterative. You begin with a simple theory and a minimal configuration, perhaps just a trend filter and a basic stop/target structure, and run a backtest. You then examine where the system fails. If you see many losses occurring in counter-trend conditions, you add an additional directional filter or restrict entries with a higher-timeframe reactor condition. If you observe many small whipsaw losses, you might require candle structure confirmation or volume confirmation before allowing an entry. Each change is made one at a time and evaluated. This process gradually builds a layered system where every component has a clear purpose: some reduce drawdown, some increase win rate, some cut out only the worst trades, and others help capture more of the best ones. A conservative swing strategy might need an agreement between short-term trend signals, a higher-timeframe Quantum position, and a bullish Dynamic Reactor state, while checking that volume supports the move and that no significant bearish reversals or divergences are present on higher timeframes. It might accept relatively few trades, but each trade would be tightly controlled, scaled out over several ATR-based targets and protected with breakeven and trailing logic. On the opposite end, an aggressive scalping configuration would relax some filters, favour faster sensitivities, use short lookback reversals, and tighten stops and targets dramatically, relying on high frequency and careful volatility filtering to maintain edge. Throughout all of this, overfitting remains the main danger. The more parameters you tune and the more coincidental rules you add to make the backtest equity curve smoother, the more likely it is that you are capturing noise rather than a real, repeatable edge. Signs of overfitting include heavily optimised numeric values with no intuitive justification, large differences between in-sample and out-of-sample results, or strategies that work spectacularly in very specific regimes and collapse elsewhere. To mitigate this, keep strategies as simple as possible, test across different market regimes (bull, bear, range), and accept that robust systems usually look less “perfect” on the historical chart. Bridging the gap from backtest to live trading is another critical step. Before risking capital, it is wise to paper trade the configuration for a number of trades to confirm that signal frequency, behaviour and execution align with expectations. When going live, starting with minimal size and gradually scaling up based on real-world performance helps manage both financial and psychological risk. If live results diverge significantly from backtest expectations due to slippage, fees, or changing market conditions, you can adjust, reduce size, or temporarily pause rather than commit fully to a failing configuration. Ultimately, PA Builder is designed to be a tool for building structured, rules-driven trading systems. It gives you the tools to express your ideas, test them, refine them, and run them under controlled risk. It does not remove uncertainty or guarantee results, but it does provide a clear, transparent way to translate trading concepts into executable, testable logic, and to evolve those systems as markets change and your understanding deepens.
Стратегия Pine Script®
от ChartPrime
4
smart honey 2.0The smart honey 2.0 is a long-only trading strategy based on averaging entries. At "Entry" you can set to enter a trade at a specified averaging level. The best backtest result at "only 4th averaging". "Tp" is take profit. "Sensitivity" controls the frequency of trades - lower sensitivity means fewer, but higher-quality trades. Settings recommendations For 1m-5m timeframes, use low sensitivity and take profit values. For higher timeframes, increase the take profit value. For example, a profitable setting for many coins on a 5-minute timeframe is Tp = 1.5% Sensitivity = 2.7 Entry = only 4th averaging The strategy features a "Blue line" showing liquidity clusters influenced by Sensitivity. Price often bounces off this line. You can also set alerts for lists of coins, receiving notifications at each new candle about active positions
Стратегия Pine Script®
от martsinkevich
AlosAlgo V2 (BETA)— V2 BETA — V2 – 2025-11-21 (Update) • Rebuilt the core signal engine to remove repainting – higher-timeframe Heikin Ashi / Renko now use confirmed bars only for more stable signals & alerts. • Added Trend Filter MA so longs are only taken above the MA and shorts only below (optional). • Added MACD momentum filter and Price Action filter (Higher Low for longs, Lower High for shorts) to cut a lot of chop. • Introduced a loss-streak “circuit breaker” – after X consecutive losing trades the strategy pauses for a set number of bars. • New TP/SL engine with 2 modes: ATR-based or Fixed % moves, with 4 staged TPs plus an optional runner and break-even SL after TP2. • Cleaned up TP/SL lines & labels so levels are fixed per trade and easier to read. • General refactor for more realistic backtests, better live behaviour and easier parameter tuning compared to V1. ABOUT AlosAlgo V2 is a multi-timeframe trend + momentum strategy designed for BTC and other high-liquidity markets. It takes directional bias from a higher timeframe, then filters that bias with volatility, momentum and simple price-action structure before it ever opens a trade. Purely rule-based, no AI / Bayesian / ML. Core idea – Use higher-timeframe structure for direction. – Only trade when trend, momentum and basic price action agree. – Manage exits with multiple TPs, an optional runner and a hard SL so risk is defined from the start. Setups Two main engines: • Open/Close – Higher-timeframe Heikin Ashi body direction (close vs open) as the core trend signal. • Renko – ATR-based Renko feed with EMA cross (fast vs slow) as the core trend signal. Classic sideways filters (ATR + RSI) can be layered on top if you want to only trade in trending or ranging conditions. Filters added in V2 • Trend Filter MA – Longs only above the MA, shorts only below (length configurable). • Momentum Filter – Optional MACD filter; only takes longs when MACD is bullish and shorts when MACD is bearish. • Price Action Filter – Optional HL/LH logic using pivots: longs after a Higher Low, shorts after a Lower High. • Loss-Streak Circuit Breaker – After N losing trades in a row, the strategy pauses entries for a set number of bars to avoid bad regimes / tilt. Risk & exits Two TP/SL modes: • ATR mode – SL and TP1–TP4 based on ATR at entry (stopFactor / profitFactor). • Fixed % mode – SL and TP1–TP4 defined as % moves from entry. On entry the strategy: • Opens a single position. • Places 4 staged TPs (TP1–TP4) with user-defined % sizing. • Optionally leaves a “runner” managed only by SL and trend changes. • Can move SL to break-even automatically after TP2 (toggle). All TP/SL levels are locked at entry and drawn on the chart with labels so you can see exactly what the trade is trying to do. Non-repainting behaviour V2 is refactored to avoid the repainting behaviour that V1 used. Higher-timeframe and Renko data are taken from confirmed bars only, and entries are based on state (e.g. > / <) instead of repaint-prone crosses. Backtests are much closer to what you’ll see live, and alerts line up with executed trades more reliably. How to use (suggested defaults) • Setup: Open/Close • TPSType: Fixed % • Trend Filter: ON • Momentum Filter: ON • Price Action Filter: ON • Sideways Filter: No Filtering Then tweak TP/SL distances and filters per asset + timeframe, and forward-test before sizing up. Disclaimer This is not financial advice, not a guarantee of profit and not a “set and forget” money printer. Always forward-test, paper trade and tune risk before using real capital or automation. Markets change – this is a tool, not a promise.
Стратегия Pine Script®
от Alos_Arc
YCGH Mean Reversion StrategyThis strategy applies a classic mean-reversion framework inspired by the concepts popularized by Ernest P. Chan in his quantitative trading books. It uses Bollinger Bands and RSI to identify statistically stretched conditions where price has moved too far from its average. When price dips below the lower band with weakening momentum, the strategy accumulates small long positions, expecting reversion toward the mean. As price rebounds above the upper band, it exits positions gradually. Position sizing limits help control risk and avoid excessive exposure. Special thanks to Ernest P. Chan for his influential work in quantitative trading, which motivated the structure and logic behind this model.
Стратегия Pine Script®
от YCGH_Capital
SMC Trend Filter Strategy (EMA50/EMA200 + FVG)Overview This strategy implements a multi-timeframe Smart Money Concept (SMC) trading system designed for intraday and swing trading. It combines a Daily trend filter, Break of Structure (BOS) detection, Order Block (OB) zones, Fair Value Gap (FVG) confirmation, and an ATR-based trailing stop system to achieve structured and rule-based entries. The strategy is fully automated for backtesting and allows users to evaluate SMC concepts without repainting or discretionary interpretation. - Core Components 1. Higher-Timeframe Trend Filter (Daily EMA50/EMA200) The strategy retrieves D1 data and determines market direction using EMA50 and EMA200: Uptrend → EMA50 > EMA200 Downtrend → EMA50 < EMA200 Trades are only taken in the direction of the Daily trend to avoid counter-trend setups. 2. Market Structure & Break of Structure (BOS) The strategy identifies swing highs/lows and detects when price breaks beyond them: Bullish BOS: price closes above previous swing high Bearish BOS: price closes below previous swing low This forms the foundation of SMC market structure recognition. 3. Order Block Zone (OB) Upon detecting a BOS, the strategy marks the previous candle as a potential Order Block: For bullish BOS → OB = previous candle’s high/low For bearish BOS → OB = previous candle’s high/low The OB zone is visualized using a semi-transparent box extended forward
Стратегия Pine Script®
от SMCFVL
Infinity 26📈 Infinity 26 – Long-Term Investment Signal Indicator Infinity 26 is a long-term trend-based investment indicator designed to identify high-quality buy and exit points using weekly or monthly candles. It filters out market noise and focuses only on strong, long-term momentum shifts—making it ideal for wealth creation and slow, steady portfolio growth. 🔹 Key Features Buy Signals: Automatically highlights strong trend-reversal points where long-term investors can accumulate. Exit Signals: Shows when the long-term trend weakens, helping protect gains and reduce major drawdowns. Weekly & Monthly Optimized: Best results when used on 1-week or 1-month timeframe for long-term investing. Clear Trend Structure: Helps you stay invested during major bull trends and avoid emotional short-term decisions. Noise-Free: Designed for long-horizon investors—no overtrading, no frequent whipsaws. 🔹 Best For Long-term investors Swing-to-position traders Wealth creation strategies Portfolio-based investing 🔹 How It Helps You ✔ Avoid wrong entries ✔ Capture major uptrend moves ✔ Reduce risk with timely exits ✔ Build wealth with simple, rule-based signals
Стратегия Pine Script®
от OnkarInvestment
MKL AutopilotOVERVIEW MKL Autopilot is a trend-following strategy that uses a smoothed dynamic environment filter and de-noiser to detect directional shifts and then aims for fixed risk-to-reward exits (user-settable) while using a dynamic stop that adapts to price structure. 1. Key ideas / advantages - Smooths short-term noise with an adaptive range + volatility smoothing algorithm so entries trigger on meaningful directional shifts. - Reduces False Breakouts: a new direction must reverse briefly away from the de-noiser. - Dynamic stop-loss placed at the filter band (upper/lower), with take-profit calculated from realized risk using an adjustable R:R ratio . - Sequential-trade gating prevents immediate same-direction flip-flopping (simple persistence control). - Designed for clarity and conservative trade management. 2. Signals and execution - Long Entry - Short Entry - Stop-loss: dynamic bandwidth, which will always shrink after asset starts moving the direction of the trade. - Take-profit: computed as entry ± (riskPips * R:R), where riskPips is derived from entry-to-SL distance and pipValue. 3. User inputs - Period — smoothing window (default 88). - Multiplier — multiplies smoothed range volatility width to set band width (default 8.0). - Risk-to-Reward Ratio — target multiple of risk (default 2.0). - Visual toggles for fills and colors are provided. 4. Behavioural details - Uses strategy.percent_of_equity with default_qty_value=100 (trades full equity by default). - Keeps pyramiding=0 to avoid multiple concurrent entries in same direction. - Resets entry variables on position close and re-arms retest logic according to prevailing trend. 5. Recommended usage - Try 3min and 5min for all - forex/crypto/indices/equities - adapt according to the volatility of the asset. - Backtest across multiple symbols/timeframes and tune Period / Multiplier / R:R to match volatility and your risk tolerance. 6. Limitations & risk - No 100% guarantee of profit — like all strategies it can produce drawdowns, whipsaw losses during sideways markets, and missed quick reversals. - Default position sizing is aggressive (100% of equity). Change default_qty_type / default_qty_value before live trading. - Always forward-test on a paper account and ensure slippage/fees are considered. Some good assets with their time-frames and settings are mentioned below: 1. BINANCE:ETHUSD (BEST) | CAPITALCOM:US30 | OANDA:XAUUSD | - Time Frame = 3min - Period = 88 - Multiplier = 8.8 - Risk-to-Reward Ratio = 2.5 2. BINANCE:BTCUSD - Time Frame = 5min - Period = 188 - Multiplier = 8.8 - Risk-to-Reward Ratio = 3 3. BINANCE:SOLUSDT - Time Frame = 3min - Period = 33 - Multiplier = 8.8 - Risk-to-Reward Ratio = 3 5. OANDA:XAUUSD - Time Frame = 5min - Period = 120 - Multiplier = 8.8 - Risk-to-Reward Ratio = 2.5 6. OANDA:USDJPY - Time Frame = 15min - Period = 160 - Multiplier = 2.4 - Risk-to-Reward Ratio = 2 7. NSE:NIFTY | NSE:BANKNIFTY - Time Frame = 3min - Period = 88 - Multiplier = 8.8 - Risk-to-Reward Ratio = 3
Стратегия Pine Script®
от Mukul_9
3
R4D1 Algo Standard🚀 R4D1 Algo Standard— Smart Supertrend Trading System The R4D1 Algo Standard is a next-generation Supertrend-based trading system designed for traders who want a clean, reliable, and highly automated strategy. Built with premium filters, visual dashboards, and institutional-grade session mapping, this algo gives you the clarity you need to dominate any market. ⚠️ Important: For accurate calculations on Heikin Ashi charts, please make sure real OHLC values are enabled in the script settings. Otherwise, HA-smoothing may distort price-based indicators. 📌 Note: Netflix Inc. was used only as a reference example for demonstration and visualization purposes. The strategy is Tickerly Ready and works seamlessly with any symbol, across all markets and asset classes. 🔥 Key Features 📈 Supertrend Engine Ultra-responsive trend detection Clean reversal entries (Long 📈 / Short 📉) Automatic trade reversals for maximum momentum capture 🎛️ Customizable Filters ADX Filter 📡 — Detect true trend strength MACD Filter 📊 — Block trades during weak or conflicting market phases Toggle instantly on/off for full control This time, less is more. Great for Python Code,finding the Right values to be one step ahead. 🧭 Interactive Dashboard (HUD) A real-time on-chart control center showing: Current Position: LONG / SHORT Entry Price Live P&L 💰 Trend State (Bullish 🟢 / Bearish 🔴) ADX Strength MACD Momentum ATR Volatility Everything updates automatically on the latest bar. 🇺🇸 US Market Sessions (Optional) Highlight key Wall Street phases with a single click: 🟩 US Open (09:30–11:30) 🟨 Lunch Session 🟧 Afternoon Session Perfect for traders who love structure and timing. 🎯 Who Is This Algo For? ✔ Day traders ✔ Swing traders ✔ Supertrend enthusiasts ✔ Traders who want clean charts + intelligent automation ✔ Anyone seeking consistent, rule-based entries & exits ⚡ Why Traders Love It Zero repainting Highly intuitive signals Designed for all markets (Crypto, Forex, Stocks, Indices) Ultra-fast performance with built-in visual clarity 🛠️ Plug, Play & Trade Load the script, enable your preferred filters, and let the algo handle the heavy lifting. You get precision entries, dynamic labels, and a modern dashboard—everything a trader needs to stay ahead.
Стратегия Pine Script®
от AL_R4D1
DM Mean Reversion w/ Checklist tableCALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. 27 minutes ago Release Notes CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. 8 minutes ago Release Notes CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. 17 minutes ago Release Notes CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: Short-term emotional overreactions Inside longer-term structural bias While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear. __________________________________________________________________ A close above or below the 5-SMA only means the mean reversion is complete, not that the move itself is over. There’s a big difference. What your SMA 5 exit actually means It means: Price has snapped back to its short-term average. That’s it. It does NOT mean: The trend is over Momentum will stop Price will reverse again It only means: The reversion target has been reached. Why price often keeps moving after In strong markets, especially end-of-day or high momentum sessions: Price often hits the short-term mean Exits your trade Then continues moving in the same direction Example: You long after RSI=2 oversold Price reverts to SMA 5 You exit But the trend is strong → price keeps climbing. And that’s normal and expected behavior. The system is not trying to capture trends. It is trying to capture: The snap-back move from extreme conditions. Your system purpose (important) Strategy is built for: Small, high-probability mean reversion profits Not trend following Not momentum extension Not predicting tops/bottoms By exiting at SMA 5, you’re saying: “I’m only here for the bounce — nothing more. That keeps: Drawdown lower Holding time shorter Win rate more consistent Even if that means leaving money on the table sometimes (which every good system does). If you ever wanted to let winners run You could add things like: Trend filter extension (hold if above 200 SMA) RSI exit condition A trailing stop instead of SMA 5 But that changes the nature of your system from: Mean Reversion → Hybrid Trend System Bottom line You’re thinking about this correctly: SMA 5 crossing = reversion completed Price can still continue further Your system exits on purpose to capture the controlled part
Стратегия Pine Script®
от evistatrading
DM Mean Reversion w/ VIX Ver2 CALL (Long) Take CALL trades when ALL are true: Price is above 200 SMA RSI(2) is below 5 VIX is below 25 VIX is falling Meaning: Fear is low and decreasing → good environment for upside mean-reversion. PUT (Short) – Final Rules Take PUT trades when ALL are true: Price is below 200 SMA RSI(2) is above 95 VIX is between 25 and 30 VIX is rising Meaning: Fear exists, is increasing, but hasn’t turned into panic yet. Universal Block Rule If VIX is above 30 → NO TRADES at all Because panic destroys mean-reversion edges. _________________________________________________________________________________ The Psychology Behind Mean Reversion Strategy Strategy is built on human behavior, not just math. It’s designed to exploit how traders overreact emotionally. 1. RSI(2) – The Emotion Meter What it means psychologically: RSI(2) doesn’t measure trend — it measures emotional exhaustion. When: • RSI(2) < 5 → Market is panic-selling short term • RSI(2) > 95 → Market is panic-buying short term Humans don’t trade logically. They: Chase Panic Overreact to short-term movement This strategy does the opposite. It says: Everyone is emotional right now. I’m going to wait until their emotion is extreme, then fade it.” That’s contrarian psychology. 2. 200 SMA – Crowd Bias Filter This line separates: Long-term belief From short-term noise Psychologically: When price is above the 200 SMA → The market believes it's in a bull environment When price is below the 200 SMA → The market believes it's in a bearish environment Your strategy respects that belief. You’re not fighting the big crowd You’re only fading the small emotional moves within it. That’s very important. 3. 5 SMA – Short-Term Reversion Trigger This is your mean line. Psychologically: When price stretches far from the 5 SMA, it represents short-term imbalance. Traders: • Chase • Overextend • Get emotionally trapped The mean (5 SMA) acts like a magnet. Your exit uses this line because: When price touches or crosses it that emotional imbalance is usually gone. 4. ATR – Fear Distance ATR measures how far the crowd is willing to move price. Psychologically: When volatility increases, people are emotional Stop loss distance must increase Your ATR stop adapts to crowd fear intensity. Low fear = tighter stops High fear = wider stops You're not using fixed numbers. You're using fear measurement. 5. VIX – The Market's Fear Index This is extremely important. VIX shows collective fear levels across all traders. Psychology: VIX Level Crowd Emotion Under 20 Calm / Confident 20–25 Mild stress 25–30 Building fear 30+ Panic mode Mean reversion works best when: Fear exists But panic is NOT extreme Because in panic → people act irrational longer. Your logic filters those periods out. 6. Your Strategy Psychology in One Sentence Your strategy profits from: ✅ Short-term emotional overreactions ✅ Inside longer-term structural bias ✅ While avoiding high-panic environments You're trading: Not price Not indicators But human stress behavior. The Mental Model to Remember Imagine: RSI(2) = person panicking 200 SMA = direction of the crowd 5 SMA = emotional center ATR = how scared they are VIX = how stressed the entire market is You’re not predicting price. You’re exploiting fear.
Стратегия Pine Script®
от evistatrading
DM Mean Reversion Strategy w/VIXThis strategy works because it trades human emotion, not numbers. Markets move the way they do because of: Fear Greed Panic FOMO Regret Relief Your indicators are just tools to measure those emotions. 1. RSI(2) → Measures Emotional Overreaction RSI(2) doesn’t measure “strength”. It measures short-term emotional imbalance. What it sees: When RSI(2) < 5 → People are panicking When RSI(2) > 95 → People are overconfident / greedy Psychology behind it: When RSI is very low: People are thinking: “I need to sell NOW before it crashes further!” They’re not thinking logically. They’re reacting emotionally. That emotional selling is usually exaggerated, not rational. You step in and take the other side of their fear. 2. 200 SMA → Measures Crowd Belief The 200 SMA represents: The long-term average opinion of the market. Most institutions, hedge funds, and big traders use it. Psychology behind it: If price is above 200 SMA: The crowd believes the asset is in a long-term uptrend. More people are willing to buy dips. If price is below it: The crowd believes it’s in a long-term downtrend. More people are looking to short rallies. You’re aligning yourself with mass psychology, not fighting it. 3. 5 SMA → Measures Short-Term “Normal” Price This is basically your: “How far did price stretch away from normal?” Psychology behind it: People panic and overreact, sending price too far from its normal value. Then once emotions cool down, price naturally comes back. This is called: Mean Reversion When price crosses back over the 5 SMA, it means: Panic is fading Emotion is cooling Price is returning to “fair value” That’s why you exit there — The emotional imbalance is over. 4. ATR → Measures Market Fear / Speed ATR measures how wild price is moving. High ATR = high fear, high uncertainty Low ATR = calm market Psychology behind it: When the market is highly volatile: People are emotional Moves are erratic False signals happen more ATR helps adjust your stop loss so that: You aren’t stopped out because of normal emotional noise. It adapts your risk to how emotional the market currently is. 5. VIX → Measures Fear Level of the Entire Market VIX is literally called the: “Fear Index” Psychology behind it: When VIX is high: People are scared News is bad Emotion dominates logic Moves become irrational When VIX is low: Market is calm People are thinking more rationally Mean reversion works better That’s why you block trades when VIX is too high. You don’t want to trade in emotional chaos. The Big Picture Psychology Your strategy is based on one idea: Humans overreact short-term Then calm down Then price normalizes You are not predicting the future. You are exploiting: Emotional mistakes Crowd overreaction Human impatience Fear and greed While most traders react emotionally, You are reacting statistically. Real Mental Model for You Think of it like this: RSI(2) = Market panic meter 200 SMA = Crowd belief 5 SMA = Emotional balance point ATR = Emotional intensity VIX = Global fear gauge You are basically: Buying fear Selling greed In the direction of the crowd When emotions are stretched. ______________________________________________________________ Here’s exactly when you place an entry with DM Mean Reversion Strategy w/VIX – for both LONG and SHORT. When to Enter a LONG (Buy / Calls) You only place a LONG trade after a candle closes and all these are true: Trend Filter (Bullish) Price is above the 200 SMA → Market is in an uptrend. RSI(2) Oversold RSI(2) is below your buy level (default = 5) → Market is short-term oversold in an uptrend. VIX Condition OK VIX is below your block level (default 28) VIX is below your long max (default 25) VIX is falling or flat (today’s VIX ≤ yesterday’s) → Fear is not extreme and is calming down. Candle is CLOSED The bar has finished and the conditions above are true on the close, not in the middle of the candle. Entry timing: You place the LONG trade at the open of the next candle after all the above were true at the close. If you’re using the table: It will typically show “LONG SETUP” when a valid long condition appears and you’re not in a trade yet. ____________________________________________________________ When to Enter a SHORT (Sell / Puts) You only place a SHORT (or buy a Put) after a candle closes and all these are true: Trend Filter (Bearish) Price is below the 200 SMA → Market is in a downtrend. RSI(2) Overbought RSI(2) is above your sell level (default = 95) → Market is short-term overbought in a downtrend. VIX Condition OK VIX is below your block level (default 28) VIX is below your short max (default 30) VIX is rising or flat (today’s VIX ≥ yesterday’s) → Fear is starting to increase, which supports downside moves. Candle is CLOSED Wait for the bar to finish – don’t act mid-candle. Entry timing: You place the SHORT / PUT trade at the open of the next candle after those conditions were true at the close. On the table: You’ll see “SHORT SETUP” when a valid short opportunity is present and you’re flat. When NOT to Enter Do not enter if: VIX is above the global block level (default 28) → Strategy is designed to avoid panic markets. Candle hasn’t closed yet (mid-candle fluctuations don’t count). Trend and RSI don’t line up (e.g., RSI oversold but price below 200 SMA → no long).
Стратегия Pine Script®
от evistatrading
STRATEGY 1 │ Red Dragon │ Model 1 │ [Titans_Invest]The Red Dragon Model 1 is a fully automated trading strategy designed to operate BTC/USDT.P on the 4-hour chart with precision, stability, and consistency. It was built to deliver reliable behavior even during strong market movements, maintaining operational discipline and avoiding abrupt variations that could interfere with the trader’s decision-making. Its core is based on a professionally engineered logical structure that combines trend filters, confirmation criteria, and balanced risk management. Every component was designed to work in an integrated way, eliminating noise, avoiding unnecessary trades, and protecting capital in critical moments. There are no secret mechanisms or hidden logic: everything is built to be objective, clean, and efficient. Even though it is based on professional quantitative engineering, Red Dragon Model 1 remains extremely simple to operate. All logic is clearly displayed and fully accessible within TradingView itself, making it easy to understand for both beginners and experienced traders. The structure is organized so that any user can quickly view entry conditions, exit criteria, additional filters, adjustable parameters, and the full mechanics behind the strategy’s behavior. In addition, the architecture was built to minimize unnecessary complexity. Parameters are straightforward, intuitive, and operate in a balanced way without requiring deep adjustments or advanced knowledge. Traders have full freedom to analyze the strategy, understand the logic, and make personal adaptations if desired—always with total transparency inside TradingView. The strategy was also designed to deliver consistent operational behavior over the long term. Its confirmation criteria reduce impulsive trades; its filters isolate noise; and its overall logic prioritizes high-quality entries in structured market movements. The goal is to provide a stable, clear, and repeatable flow—essential characteristics for any medium-term quantitative approach. Combining clarity, professional structure, and ease of use, Red Dragon Model 1 offers a solid foundation both for users who want a ready-to-use automated strategy and for those looking to study quantitative models in greater depth. This entire project was built with extreme dedication, backed by more than 14,000 hours of hands-on experience in Pine Script, continuously refining patterns, techniques, and structures until reaching its current level of maturity. Every line of code reflects this long process of improvement, resulting in a strategy that unites professional engineering, transparency, accessibility, and reliable execution. 🔶 MAIN FEATURES • Fully automated and robust: Operates without manual intervention, ideal for traders seeking consistency and stability. It delivers reliable performance even in volatile markets thanks to the solid quantitative engineering behind the system. • Multiple layers of confirmation: Combines 10 key technical indicators with 15 adaptive filters to avoid false signals. It only triggers entries when all trend, market strength, and contextual criteria align. • Configurable and adaptable filters: Each of the 15 filters can be enabled, disabled, or adjusted by the user, allowing the creation of personalized statistical models for different assets and timeframes. This flexibility gives full freedom to optimize the strategy according to individual preferences. • Clear and accessible logic: All entry and exit conditions are explicitly shown within the TradingView parameters. The strategy has no hidden components—any user can quickly analyze and understand each part of the system. • Integrated exclusive tools: Includes complete backtest tables (desktop and mobile versions) with annualized statistics, along with real-time entry conditions displayed directly on the chart. These tools help monitor the strategy across devices and track performance and risk metrics. • No repaint: All signals are static and do not change after being plotted. This ensures the trader can trust every entry shown without worrying about indicators rewriting past values. 🔷 ENTRY CONDITIONS & RISK MANAGEMENT Red Dragon Model 1 triggers buy (long) or sell (short) signals only when all configured conditions are satisfied. For example: • Volume: • The system only trades when current volume exceeds the volume moving average multiplied by a user-defined factor, indicating meaningful market participation. • RSI: • Confirms bullish bias when RSI crosses above its moving average, and bearish bias when crossing below. • ADX: • Enters long when +DI is above –DI with ADX above a defined threshold, indicating directional strength to the upside (and the opposite conditions for shorts). • Other indicators (MACD, SAR, Ichimoku, Support/Resistance, etc.) Each one must confirm the expected direction before a final signal is allowed. When all bullish criteria are met simultaneously, the system enters Long; when all criteria indicate a bearish environment, the system enters Short. In addition, the strategy uses fixed Take Profit and Stop Loss targets for risk control: Currently: TP around 1.5% and SL around 2.0% per trade, ensuring consistent and transparent risk management on every position. ⚙️ INDICATORS __________________________________________________________   1) 🔊 Volume: Avoids trading on flat charts.   2) 🍟 MACD: Tracks momentum through moving averages.   3) 🧲 RSI: Indicates overbought or oversold conditions.   4) 🅰️ ADX: Measures trend strength and potential entry points.   5) 🥊 SAR: Identifies changes in price direction.   6) ☁️ Cloud: Accurately detects changes in market trends.   7) 🌡️ R/F: Improves trend visualization and helps avoid pitfalls.   8) 📐 S/R: Fixed support and resistance levels.   9)╭╯MA: Moving Averages. 10) 🔮 LR: Forecasting using Linear Regression. __________________________________________________________ 🟢 ENTRY CONDITIONS 🔴 __________________________________________________________ IF all conditions are 🟢 = 📈 Long IF all conditions are 🔴 = 📉 Short __________________________________________________________ 🚨 CURRENT TRIGGER SIGNAL 🚨 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🟢 ALL ENTRY CONDITIONS AVAILABLE 🔴 __________________________________________________________ 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) 🔊 Volume 🟢 LONG  = (volume) > (MA_volume) * (Volume Mult) and (close) > (open) 🔴 SHORT = (volume) > (MA_volume) * (Volume Mult) and (close) < (open) 🍟 MACD 🟢 LONG  = (MACD) > (Signal Smoothing) 🔴 SHORT = (MACD) < (Signal Smoothing) 🧲 RSI 🟢 LONG  = (RSI) < (Upper) 🔴 SHORT = (RSI) > (Lower) 🧲 RSI 🟢 LONG  = (RSI) > (RSI_MA) 🔴 SHORT = (RSI) < (RSI_MA) 🅰️ ADX 🟢 LONG  = (+DI) > (-DI) and (ADX) > (Treshold) 🔴 SHORT = (+DI) < (-DI) and (ADX) > (Treshold) 🥊 SAR 🟢 LONG  = (close) > (SAR) 🔴 SHORT = (close) < (SAR) ☁️ Cloud 🟢 LONG  = (Cloud A) > (Cloud B) 🔴 SHORT = (Cloud A) < (Cloud B) ☁️ Cloud 🟢 LONG  = (Kama) > (Kama ) 🔴 SHORT = (Kama) < (Kama ) 🌡️ R/F 🟢 LONG  = (high) > (UP Range)      and (upward)     > (0) 🔴 SHORT = (low) < (DOWN Range) and (downward) > (0) 🌡️ R/F 🟢 LONG  = (high) > (UP Range) 🔴 SHORT = (low) < (DOWN Range) 📐 S/R 🟢 LONG  = (close) > (Resistance) 🔴 SHORT = (close) < (Support) ╭╯MA2️⃣ 🟢 LONG  = (Cyan Bar MA2️⃣) 🔴 SHORT = (Red Bar MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (close) > (MA2️⃣) 🔴 SHORT = (close) < (MA2️⃣) ╭╯MA2️⃣ 🟢 LONG  = (Positive MA2️⃣) 🔴 SHORT = (Negative MA2️⃣) __________________________________________________________ 🎯 TP / SL 🛑 __________________________________________________________ 🎯 TP: 1.5 ％ 🛑 SL:  2.0 ％ __________________________________________________________ 🪄 UNIQUE FEATURES OF THIS STRATEGY ____________________________________ 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. 1)   𝄜  Table Backtest for Mobile. 2)   𝄜  Table Backtest for Computer. 3)   𝄜  Table Backtest for Computer & Annual Performance. 4)   𝄜  Live Entry Conditions. _____________________________ 𝄜  BACKTEST / PERFORMANCE 𝄜 _____________________________ • Net Profit: +634.47%, Maximum Drawdown: -18.44%. 🪙 PAIR / TIMEFRAME ⏳ 🪙 PAIR: BINANCE:BTCUSDT.P ⏳ TIME: 4 hours (240m) ✅ ON ☑️ OFF ✅ LONG ✅ SHORT 🎯 TP / SL 🛑 🎯 TP: 1.5 (％) 🛑 SL:  2.0 (％) ⚙️ CAPITAL MANAGEMENT 💸 Initial Capital: 10000 $ (TradingView) 💲 Order Size:      10 ％     (Of Equity) 🚀 Leverage:        10 x       (Exchange) 💩 Commission:    0.03 ％  (Exchange) 📆 BACKTEST 🗓️ Start: Setember 24, 2019 🗓️ End:   November 21, 2025 🗓️ Days:  2250 🗓️ Yers:   6.17 🗓️ Bars:  13502 📊 PERFORMANCE 💲 Net Profit:                 + 63446.89 $ 🟢 Net Profit:                 + 634.47 ％ 💲 DrawDown Maximum: - 10727.48 $ 🔴 DrawDown Maximum: - 18.44 ％ 🟢 Total Closed Trades:     1042 🟡 Percent Profitable:       63.92 ％ 🟡 Profit Factor:               1.247 💲 Avg Trade:                 + 60.89 $ ⏱️ Avg # Bars in Trades 🕯️ Avg # Bars: 4 ⏳ Avg # Hrs:  15 ✔️ Trades Winning: 666 ❌ Trades Losing:    376 ✔️ Maximum Consecutive Wins:   11 ❌ Maximum Consecutive Losses: 7 📺 Live Performance : br.tradingview.com • Use this strategy on the recommended pair and timeframe above to replicate the tested results. • Feel free to experiment and explore other settings, assets, and timeframes.
Стратегия Pine Script®
от Titans_Invest
MTF Scalper - alemicihanMulti-Timeframe Scalper Strategy: Aligning the Big Picture for Quick Gains This article presents a robust futures trading strategy designed for high-frequency scalping in the crypto market. It’s built on the principle of minimizing risk by ensuring that short-term entries are always aligned with the dominant, higher-timeframe trend. The Core Concept: Alignment is Key A Balanced Trend Follower approach, now refined for rapid scalping, uses a Multi-Timeframe (MTF) confirmation system to filter out market noise and increase the probability of a successful trade. The strategy operates on a Low Timeframe (LTF) chart (e.g., 3m, 5m, or 15m) but only executes trades if the direction is validated by three Higher Timeframes (HTF). ComponentPurposeFunctionHTF (D, 4h, 1h) EMA => Trend Confirmation =>Checks if the current price is above/below all three Exponential Moving Averages (EMA 20). This provides a strong directional bias. LTF (5m) Stochastic RSI => Momentum Entry => Generates the actual buy/sell signal by spotting a swift crossover, indicating fresh momentum in the direction of the confirmed HTF trend. How The Signal Is Generated Trend Alignment: The system first confirms the trend. If the price is trading above the Daily, 4-Hour, and 1-Hour EMAs, the market is deemed to be in a Strong LONG Trend. Only LONG signals are permitted. Momentum Trigger: Once the trend is confirmed, a Long Signal is generated only when the Stochastic K-Line crosses above the D-Line, indicating a momentum shift (a pullback ending) towards the main trend direction. Short Signal: The inverse logic applies to the Short Trend confirmation and entry signal. Mandatory Risk Management: ATR-Based Exit Given the high leverage nature of futures and scalping, static Stop-Loss (SL) and Take-Profit (TP) levels are inefficient. This strategy uses the Average True Range (ATR) indicator to dynamically set profit and loss targets based on current market volatility. Stop Loss (SL): Set dynamically at 1.5 x ATR below (for long) or above (for short) the entry price. This gives the trade enough room to breathe without risking excessive capital. Take Profit (TP): Set dynamically at 3.0 x ATR, establishing a robust Risk-to-Reward Ratio of 1:2. Final Thoughts on Testing This sophisticated approach combines the reliability of MTF analysis with the speed of momentum indicators. However, data analysis is key. Backtesting these parameters (EMA, ATR Multipliers, RSI/Stochastic lengths) on your chosen asset (like BTC/USDT or ETH/USDT) and timeframe is crucial to achieving optimal performance.
Стратегия Pine Script®
от alemicihan
US100 AlgoUS100 Algo - Professional Supertrend Strategy with Multi-Filter System 🚀 Professional Algorithmic Trading for US100 (NASDAQ-100) Battle-tested strategy optimized for 15-minute Heikin Ashi charts with full Tickerly webhook automation. ⚠️ CRITICAL SETUP - READ FIRST Before using this strategy: Chart Type: Heikin Ashi (for smooth visuals) Strategy Settings: Go to Strategy Properties → Set OHLC prices (NOT Heikin Ashi prices) Timeframe: 15 minutes Instrument: US100 / NASDAQ-100 This OHLC setting is CRITICAL for accurate signals and live trading. Without it, your backtest and live results will not match! ⚡ Core Strategy Supertrend Engine - ATR Period 42, Factor 3.0 Heikin Ashi Charts - Filters noise, shows clean trends Both Directions - LONG and SHORT trades Multi-Filter System - 5 layers of confirmation 🔧 Smart Filter System ✅ ADX Filter - Only trades strong trends (threshold: 24) ✅ MACD Filter - Confirms momentum direction ✅ Volatility Filter - Requires minimum ATR movement (0.9x) ✅ Volume Filter - Validates with above-average volume (0.7x) ✅ EMA 200 Filter - Optional trend alignment (3 modes available) All filters can be toggled ON/OFF individually 💰 Risk Management Take Profit System - Configurable (default: 8.8%) Visual Labels - Clear LONG/SHORT entry markers Exit Signals - TP markers on chart ⚠️ Note: TP signals always display on chart for analysis. When TP is disabled in settings, signals show but won't trigger automated exits. 📊 Visual Features Professional dashboard (movable to 4 corners) LONG/SHORT entry labels (adjustable size) Take Profit exit markers US trading session highlights (optional) 🔔 Tickerly Compatible - Fully Automated ✅ Tested and verified for live trading ✅ Works with Capital.com, OANDA, and other brokers ✅ Instant webhook signal transmission ✅ Zero configuration needed 📈 Quick Optimization Guide Step 1: Install & Setup Apply to US100, 15min chart Enable Heikin Ashi candles Set strategy to use OHLC prices (in Strategy Properties) Step 2: Test with Default Settings Run backtest with all filters enabled Check profit factor and drawdown Verify signal quality Step 3: Fine-Tune Filters More trades: Lower ADX to 20, disable EMA filter Higher accuracy: Raise ADX to 28, increase volatility to 1.1 Balanced: Keep defaults (recommended) Step 4: Optimize Supertrend Test ATR Period: 35-50 (default 42 works well) Test Factor: 2.5-3.5 (default 3.0 optimal) Step 5: Take Profit Testing Test TP disabled (Supertrend exits only) Test TP 5%-15% range (default 8.8%) Compare profit factor vs max drawdown Step 6: Live Deploy Paper trade minimum 2 weeks Verify Tickerly webhook signals Monitor and adjust as needed ⚙️ Preset Configurations Conservative (Fewer, high-quality trades) ADX: 28 | Volatility: 1.1 | Volume: 0.9 | All filters ON Balanced (Recommended) ADX: 24 | Volatility: 0.9 | Volume: 0.7 | All filters ON Aggressive (More trades) ADX: 20 | Volatility: 0.7 | Volume: 0.5 | EMA filter OFF ✅ What You Get Complete Pine Script v6 code Full filter customization Professional dashboard Tickerly automation ready All documentation included Works on multiple instruments 📈 Best Performance Strategy performs optimally during: Active US trading hours Trending market conditions With proper filter calibration On volatile instruments (US100, crypto) ⚠️ Disclaimer Past performance does not guarantee future results. Always test in demo before live trading. Use proper risk management. Trading involves risk of loss. Start Trading Smarter Today 🎯
Стратегия Pine Script®
от AL_R4D1