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אינדיקטורים ואסטרטגיות

ADR by Saurabh MaggoADR levels for intraday This Pine Script v5 indicator plots Average Daily Range (ADR) levels on a 5-minute NSE chart, ideal for intraday traders. It marks key price levels (L3+, L3-, L2+, L2-, L1+, L1-) at 9:15 AM IST each day, based on the daily open and a customizable ATR period. Features: Configurable Levels: Adjust ATR period (default 5) and multipliers (L3=0.5, L2=0.25, L1=0.125) to set price targets. Today Only Option: Toggle Show Recent to display only the current day’s levels or all historical levels. Visual Customization: Choose vibrant colors for each level via settings, with a glow effect (toggleable, transparency=20) and adjustable circle size (default 2, range 1–5) for enhanced visibility, optimized for dark chart backgrounds. Clean Design: Single-point plotting at 9:15 AM IST ensures a clutter-free chart, with dynamic points that move with the chart. Usage: Perfect for NSE intraday trading, this indicator helps identify high-probability price targets. Customize levels, colors, and visuals to suit your strategy.
אינדיקטור Pine Script®
מאת ‎srbhmaggo‎
Market Balance LevelMarket Balance Level (MBL) This indicator dynamically identifies price consolidation zones (market balance levels) and plots a horizontal line at the average midpoint of the range once a valid breakout occurs. It helps traders visualize key zones where the market was previously in equilibrium and is likely to retest before continuing its trend. How It Works: Detects consolidation ranges using consecutive candles within a tight high-low structure. When a breakout occurs (above or below the range), it plots a line at the average midpoint of the consolidation. Triangles are drawn on breakouts to visually confirm the breakout direction. Lines can be customized by color, width, and breakout direction (bullish, bearish, or both). Recommended Use: Wait for price to return to the Market Balance Level (MBL). These levels often act as strong support or resistance. Enter upon engulfment (candle closes strongly in the direction of the breakout), confirming continuation. Features: Adjustable consolidation sensitivity and line length. Option to show/hide bullish or bearish MBLs. Visual breakout markers (triangles) with alert support. Optional alert messages for breakout events. Use this tool to enhance your structure-based or SMC-style trading strategies.
אינדיקטור Pine Script®
מאת ‎The_Forex_Steward‎
HOG Liquidity Hunter🎯 HOG Liquidity Hunter HOG Liquidity Hunter is a precision tool for identifying where smart money sweeps highs and lows, leaving behind zones that price may return to. Built for clean, pro-level trading, this script highlights untapped liquidity areas that often act as magnets for future moves. 💥 Killer Features: BSL & SSL Zones (Buy/Sell Side Liquidity) — shows exactly where stop hunts occurred Auto-detection of sweeps — based on clean reversals at swing highs/lows 500-bar forward zone projection — giving you time to plan entries or exits Auto-cleans invalidated zones — keeps your chart clean and focused Adjustable sensitivity — tweak the swing lookback and zone size to your style No clutter, no noise — just pure actionable structure 📈 Perfect For: Smart Money Concept (SMC) traders Liquidity-based entries Sniper reversal setups Swing traders wanting key levels to watch
אינדיקטור Pine Script®
מאת ‎Houseofgain‎
Prev_bar_open_RSPS_IBRARYLibrary "Prev_bar_open_RSPS_IBRARY" get_color_scheme(scheme)   Parameters:      scheme (string) f_get_color(value, threshold, pos_col, neg_col)   Parameters:      value (float)      threshold (float)      pos_col (color)      neg_col (color) matrix_get(A, i, j, nrows)   Parameters:      A (array)      i (int)      j (int)      nrows (int) matrix_set(A, value, i, j, nrows)   Parameters:      A (array)      value (float)      i (int)      j (int)      nrows (int) transpose(A, nrows, ncolumns)   Parameters:      A (array)      nrows (int)      ncolumns (int) multiply(A, B, nrowsA, ncolumnsA, ncolumnsB)   Parameters:      A (array)      B (array)      nrowsA (int)      ncolumnsA (int)      ncolumnsB (int) vnorm(X)   Parameters:      X (array) qr_diag(A, nrows, ncolumns)   Parameters:      A (array)      nrows (int)      ncolumns (int) pinv(A, nrows, ncolumns)   Parameters:      A (array)      nrows (int)      ncolumns (int) calc_beta(beta_length, benchmark_symbol)   Parameters:      beta_length (int)      benchmark_symbol (string) calc_alpha(alpha_length, beta_length, benchmark_symbol, risk_free_rate)   Parameters:      alpha_length (int)      beta_length (int)      benchmark_symbol (string)      risk_free_rate (float) adftest(a, nLag, conf)   Parameters:      a (array)      nLag (int)      conf (string) f_bartlett_weight(lag, max_lag)   Parameters:      lag (int)      max_lag (int) f_autocovariance(x, lag)   Parameters:      x (array)      lag (int) f_kpss_test(x, lags)   Parameters:      x (array)      lags (int) f_get_critical_value(significance, sample_size)   Parameters:      significance (float)      sample_size (int) get_ma(type, src, len)   Parameters:      type (string)      src (float)      len (simple int) calculate_bb_percent(src, base_len, sd_len, sd_mult, percent_mult)   Parameters:      src (float)      base_len (int)      sd_len (int)      sd_mult (float)      percent_mult (float) calculate_bb_market_filter(src, enable, base_len, sd_len, sd_mult, percent_mult, long_threshold, short_threshold, return_bb_percent)   Parameters:      src (float)      enable (bool)      base_len (int)      sd_len (int)      sd_mult (float)      percent_mult (float)      long_threshold (float)      short_threshold (float)      return_bb_percent (bool) calc_TPI(src, base_len, sd_len, sd_mult, percent_mult, long_threshold, short_threshold)   Parameters:      src (float)      base_len (int)      sd_len (int)      sd_mult (float)      percent_mult (float)      long_threshold (float)      short_threshold (float) detect_market_regime(price_src, enable_adf, adf_threshold, lookback, enable_dmi, dmi_threshold, enable_kpss, kpss_lookback, kpss_significance, enable_chop, chop_period, signal_period, enable_hilbert, smoothing_period, filter_period)   Parameters:      price_src (float)      enable_adf (bool)      adf_threshold (float)      lookback (int)      enable_dmi (bool)      dmi_threshold (float)      enable_kpss (bool)      kpss_lookback (int)      kpss_significance (float)      enable_chop (bool)      chop_period (int)      signal_period (simple int)      enable_hilbert (bool)      smoothing_period (int)      filter_period (int) aggregate_market_regime(market_regimes, threshold)   Parameters:      market_regimes (array)      threshold (float) f_get_asset_name(symbol)   Parameters:      symbol (string) f_get_ranks(alphas, tpis, alpha_threshold)   Parameters:      alphas (array)      tpis (array)      alpha_threshold (float) calc_metrics(current_equity, max_eq, returns_array, negative_returns_array, positive_returns_array, risk_free_rate)   Parameters:      current_equity (float)      max_eq (float)      returns_array (array)      negative_returns_array (array)      positive_returns_array (array)      risk_free_rate (float) calculateMaxDrawdown(_equityCurve)   Parameters:      _equityCurve (float)
ספריית Pine Script®
מאת ‎Quant_MAC‎
Eliora Phase 4.2.2 – Precision Bloom Mode | DAX 5minPhase shifts and market cohesion using math. Sure! Let’s break down the **simple trading bot concept** for **TradingView** step by step, focusing on the logic, purpose, and key elements of the strategy. This bot uses a **trend-following strategy** combined with **risk management** to automate trades based on moving averages and the RSI indicator. --- ### **Trading Bot Concept:** #### **Objective:** The primary objective of this bot is to **identify trends** and **execute buy and sell orders** based on those trends, while also ensuring **risk management** through stop-loss and take-profit levels. The bot uses two **core indicators**: * **Exponential Moving Averages (EMAs)**: To identify the trend direction. * **Relative Strength Index (RSI)**: To filter out overbought and oversold conditions, helping avoid entering trades during extreme market conditions. --- ### **Key Components:** #### 1. **Exponential Moving Averages (EMA)** * **50-period EMA** (Short-Term Trend): Tracks the price's movement in the recent past, offering more weight to recent prices. This helps the bot react quicker to short-term market shifts. * **200-period EMA** (Long-Term Trend): Represents the broader market trend, helping the bot assess the overall market direction. **Buy Signal**: * A buy signal is triggered when the **50-period EMA crosses above** the **200-period EMA** (a **bullish crossover**), suggesting that the market is entering an uptrend. **Sell Signal**: * A sell signal is triggered when the **50-period EMA crosses below** the **200-period EMA** (a **bearish crossover**), indicating that the market might be reversing into a downtrend. #### 2. **Relative Strength Index (RSI)** * **RSI** is a momentum oscillator that measures the speed and change of price movements, indicating whether an asset is overbought or oversold. * **Buy Condition**: The bot only takes buy trades if the **RSI is above 30**. This ensures that the market isn't in an **oversold** condition, which could indicate a potential reversal. * **Sell Condition**: The bot will only take sell actions if the **RSI is below 70**, avoiding trades during **overbought** conditions where prices might be excessively high. --- ### **How the Bot Works:** 1. **Buy Signal Conditions:** * The **50-period EMA** crosses **above** the **200-period EMA** (bullish crossover), indicating the potential start of an uptrend. * The **RSI is above 30**, ensuring that the market isn’t oversold and a reversal isn’t imminent. * If both of these conditions are true, the bot will **enter a long (buy) position**. 2. **Sell Signal Conditions:** * The **50-period EMA** crosses **below** the **200-period EMA** (bearish crossover), signaling that the market might be transitioning into a downtrend. * The **RSI is below 70**, meaning the market isn’t in an overbought state and the sell-off is not due to excessive bullish momentum. * If both of these conditions are met, the bot will **exit** any long position (i.e., sell). --- ### **Risk Management:** To protect against significant losses, the bot includes two essential features of **risk management**: 1. **Stop-Loss**: * The bot will automatically **exit the trade if the price moves against it by 2%** (or another user-defined percentage). This minimizes potential losses in case the market moves unfavorably after entry. 2. **Take-Profit**: * The bot will automatically **exit the trade once it reaches a profit of 5%** (or another user-defined percentage). This locks in profits if the market moves favorably. --- ### **Script Breakdown:** Here’s the **key flow** of the Pine Script: 1. **Define Parameters**: The script begins by defining input values for the **EMA periods** and **RSI length**. It also defines the **RSI overbought (70)** and **RSI oversold (30)** levels. 2. **Calculate the EMAs and RSI**: * The 50-period and 200-period **EMAs** are calculated using the `ta.ema()` function. * The **RSI** is calculated using `ta.rsi()`, and it helps determine if the asset is overbought or oversold. 3. **Trading Conditions**: * A buy signal is generated when the **short-term EMA crosses above** the **long-term EMA** and the RSI is **above 30**. * A sell signal is triggered when the **short-term EMA crosses below** the **long-term EMA** and the RSI is **below 70**. 4. **Strategy Execution**: * When the buy condition is met, the bot **enters a long position** using `strategy.entry()`. * When the sell condition is met, the bot **closes the position** using `strategy.close()`. 5. **Risk Management**: * The `strategy.exit()` function is used to set **stop-loss** and **take-profit** values. If the price moves **2% against** the trade, the bot will exit. If it moves **5% in favor**, it will lock in profits. --- ### **Visual Elements**: 1. **EMAs**: * The **50-period EMA** is plotted in **green**. * The **200-period EMA** is plotted in **red**. 2. **RSI**: * The **RSI line** is plotted in **blue** on a separate pane below the main chart. * Horizontal lines mark the **overbought** (70) and **oversold** (30) levels, helping visualize potential reversal zones. 3. **Buy and Sell Signals**: * When the bot triggers a buy, a **green arrow** appears on the chart. * When it triggers a sell, a **red arrow** appears on the chart. --- ### **How to Use the Bot on TradingView:** 1. **Go to TradingView** and open a chart of the asset you want to trade. 2. **Click on the "Pine Editor"** tab at the bottom. 3. **Paste the script** provided into the editor. 4. **Click "Add to Chart"** to see the strategy in action. 5. The bot will begin executing trades based on the logic described and display buy/sell signals directly on the chart. --- ### **Advantages of This Strategy**: * **Trend-Following**: This bot is based on the classic moving average crossover strategy, which is effective in trending markets. * **Simple and Clear**: The logic is easy to follow and understand, making it beginner-friendly. * **Built-in Risk Management**: The stop-loss and take-profit functionality ensures that the bot limits potential losses and locks in profits automatically. * **Customizable**: You can easily tweak the parameters (e.g., EMA periods, RSI levels, stop-loss, take-profit) to fit different timeframes or market conditions. --- ### **Limitations**: * **Sideways Markets**: The bot might struggle in flat or sideways markets because moving average crossovers can produce false signals. * **No Advanced Features**: It doesn’t incorporate more advanced strategies like **momentum indicators**, **news sentiment**, or **machine learning models** for decision-making. --- ### **In Conclusion:** This is a **basic but effective trend-following trading bot** that you can deploy on TradingView with minimal effort. It provides a great foundation for traders who want to automate a simple strategy with **risk management**, while offering plenty of room for customization and improvement. Let me know if you want to explore more complex features or strategies, or if you need help tweaking the bot for specific assets or markets!
אסטרטגיית Pine Script®
מאת ‎Ashleysantiago98‎