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Combo Backtest 123 Reversal & Breakout Range Long This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy Breakout Range Long Strategy WARNING: - For purpose educate only - This script to change bars colors.
Pine Script® strategy
by HPotter
Narrow Range + Inside Day, Long Only Strategy (by ChartArt)This long only strategy determines when there is both a NR7 (narrow range 7, a trading day in which the range is narrower than any of the previous six days), plus a inside day (high of the current day is lower than the high of the previous day and the low of the current day is higher than the low of the previous day) both on the same trading day and enters a long trade when the close is larger than the open and the slope of the simple moving average is upwards, too. The strategy closes the long trade next time the daily close is larger than the open in any of the next trading days. In addition the NR7ID can be colored (the color is green when the close is larger that day than the open, else the color is red) and the SMA can be drawn with a color based on the direction of the SMA slope. To fine-tune the strategy it is highly recommended to change the period length of the SMA, which determines if the measured SMA slope is upwards or not. Inspiration: How to trade NR7 and Inside Day Pattern paststat.com Code credit: NR7 indicator script from Tradingview user Lazybear: pastebin.com
Pine Script® strategy
by ChartArt
2
Range Trading StrategyOVERVIEW The Range Trading Strategy is a systematic trading approach that identifies price ranges from higher timeframe candles or trading sessions, tracks pivot points, and generates trading signals when range extremes are mitigated and confirmed by pivot levels. CORE CONCEPT The strategy is based on the principle that when a candle (or session) closes within the range of the previous candle (or session), that previous candle becomes a "range" with identifiable high and low extremes. When price breaks through these extremes, it creates trading opportunities that are confirmed by pivot levels. RANGE DETECTION MODES 1. HTF (Higher Timeframe) Mode: Automatically selects a higher timeframe based on the current chart timeframe Uses request.security() to fetch HTF candle data Range is created when an HTF candle closes within the previous HTF candle's range The previous HTF candle's high and low become the range extremes 2. Sessions Mode: - Divides the trading day into 4 sessions (UTC): * Session 1: 00:00 - 06:00 (6 hours) * Session 2: 06:00 - 12:00 (6 hours) * Session 3: 12:00 - 20:00 (8 hours) * Session 4: 20:00 - 00:00 (4 hours, spans midnight) - Tracks high, low, and close for each session - Range is created when a session closes within the previous session's range - The previous session's high and low become the range extremes PIVOT DETECTION Pivots are detected based on candle color changes (bullish/bearish transitions): 1. Pivot Low: Created when a bullish candle appears after a bearish candle Pivot low = minimum of the current candle's low and previous candle's low The pivot bar is the actual bar where the low was formed (current or previous bar) 2. Pivot High: Created when a bearish candle appears after a bullish candle Pivot high = maximum of the current candle's high and previous candle's high The pivot bar is the actual bar where the high was formed (current or previous bar) IMPORTANT: There is always only ONE active pivot high and ONE active pivot low at any given time. When a new pivot is created, it replaces the previous one. RANGE CREATION A range is created when: (HTF Mode) An HTF candle closes within the previous HTF candle's range AND a new HTF candle has just started (Sessions Mode) A session closes within the previous session's range AND a new session has just started Or Range Can Be Created when the Extreme of Another Range Gets Mitigated and We Have a Pivot low Just Above the Range Low or Pivot High just Below the Range High Range Properties: rangeHigh: The high extreme of the range rangeLow: The low extreme of the range highStartTime: The timestamp when the range high was actually formed (found by looping backwards through bars) lowStartTime: The timestamp when the range low was actually formed (found by looping backwards through bars) highMitigated / lowMitigated: Flags tracking whether each extreme has been broken isSpecial: Flag indicating if this is a "special range" (see Special Ranges section) RANGE MITIGATION A range extreme is considered "mitigated" when price interacts with it: High is mitigated when: high >= rangeHigh (any interaction at or above the level) Low is mitigated when: low <= rangeLow (any interaction at or below the level) Mitigation can happen: At the moment of range creation (if price is already beyond the extreme) At any point after range creation when price touches the extreme SIGNAL GENERATION 1. Pending Signals: When a range extreme is mitigated, a pending signal is created: a) BEARISH Pending Signal: - Triggered when: rangeHigh is mitigated - Confirmation Level: Current pivotLow - Signal is confirmed when: close < pivotLow - Stop Loss: Current pivotHigh (at time of confirmation) - Entry: Short position Signal Confirmation b) BULLISH Pending Signal: - Triggered when: rangeLow is mitigated - Confirmation Level: Current pivotHigh - Signal is confirmed when: close > pivotHigh - Stop Loss: Current pivotLow (at time of confirmation) - Entry: Long position IMPORTANT: There is only ever ONE pending bearish signal and ONE pending bullish signal at any given time. When a new pending signal is created, it replaces the previous one of the same type. 2. Signal Confirmation: - Bearish: Confirmed when price closes below the pivot low (confirmation level) - Bullish: Confirmed when price closes above the pivot high (confirmation level) - Upon confirmation, a trade is entered immediately - The confirmation line is drawn from the pivot bar to the confirmation bar TRADE EXECUTION When a signal is confirmed: 1. Position Management: - Any existing position in the opposite direction is closed first - Then the new position is entered 2. Stop Loss: - Bearish (Short): Stop at pivotHigh - Bullish (Long): Stop at pivotLow 3. Take Profit: - Calculated using Risk:Reward Ratio (default 2:1) - Risk = Distance from entry to stop loss - Target = Entry ± (Risk × R:R Ratio) - Can be disabled with "Stop Loss Only" toggle 4. Trade Comments: - "Range Bear" for short trades - "Range Bull" for long trades SPECIAL RANGES Special ranges are created when: - A range high is mitigated AND the current pivotHigh is below the range high - A range low is mitigated AND the current pivotLow is above the range low In these cases: - The pivot value is stored in an array (storedPivotHighs or storedPivotLows) - A "special range" is created with only ONE extreme: * If pivotHigh < rangeHigh: Creates a range with rangeHigh = pivotLow, rangeLow = na * If pivotLow > rangeLow: Creates a range with rangeLow = pivotHigh, rangeHigh = na - Special ranges can generate signals just like normal ranges - If a special range is mitigated on the creation bar or the next bar, it is removed entirely without generating signals (prevents false signals) Special Ranges REVERSE ON STOP LOSS When enabled, if a stop loss is hit, the strategy automatically opens a trade in the opposite direction: 1. Long Stop Loss Hit: - Detects when: position_size > 0 AND position_size <= 0 AND low <= longStopLoss - Action: Opens a SHORT position - Stop Loss: Current pivotHigh - Trade Comment: "Reverse on Stop" 2. Short Stop Loss Hit: - Detects when: position_size < 0 AND position_size >= 0 AND high >= shortStopLoss - Action: Opens a LONG position - Stop Loss: Current pivotLow - Trade Comment: "Reverse on Stop" The reverse trade uses the same R:R ratio and respects the "Stop Loss Only" setting. VISUAL ELEMENTS 1. Range Lines: - Drawn from the time when the extreme was formed to the mitigation point (or current time if not mitigated) - High lines: Blue (or mitigated color if mitigated) - Low lines: Red (or mitigated color if mitigated) - Style: SOLID - Width: 1 2. Confirmation Lines: - Drawn when a signal is confirmed - Extends from the pivot bar to the confirmation bar - Bearish: Red, solid line - Bullish: Green, solid line - Width: 1 - Can be toggled on/off STRATEGY SETTINGS 1. Range Detection Mode: - HTF: Uses higher timeframe candles - Sessions: Uses trading session boundaries 2. Auto HTF: - Automatically selects HTF based on current chart timeframe - Can be disabled to use manual HTF selection 3. Risk:Reward Ratio: - Default: 2.0 (2:1) - Minimum: 0.5 - Step: 0.5 4. Stop Loss Only: - When enabled: Trades only have stop loss (no take profit) - Trades close on stop loss or when opposite signal confirms 5. Reverse on Stop Loss: - When enabled: Hitting a stop loss opens opposite trade with stop at opposing pivot 6. Max Ranges to Display: - Limits the number of ranges kept in memory - Oldest ranges are purged when limit is exceeded KEY FEATURES 1. Dynamic Pivot Tracking: - Pivots update on every candle color change - Always maintains one high and one low pivot 2. Range Lifecycle: - Ranges are created when price closes within previous range - Ranges are tracked until mitigated - Mitigation creates pending signals - Signals are confirmed by pivot levels 3. Signal Priority: - Only one pending signal of each type at a time - New signals replace old ones - Confirmation happens on close of bar 4. Position Management: - Closes opposite positions before entering new trades - Tracks stop loss levels for reverse functionality - Respects pyramiding = 1 (only one position per direction) 5. Time-Based Drawing: - Uses time coordinates instead of bar indices for line drawing - Prevents "too far from current bar" errors - Lines can extend to any historical point USAGE NOTES - Best suited for trending and ranging markets - Works on any timeframe, but HTF mode adapts automatically - Sessions mode is ideal for intraday trading - Pivot detection requires clear candle color changes - Range detection requires price to close within previous range - Signals are generated on bar close, not intra-bar The strategy combines range identification, pivot tracking, and signal confirmation to create a systematic approach to trading breakouts and reversals based on price structure, past performance does not in any way predict future performance
Pine Script® strategy
by mindyourbuisness
2
Ranged Volume DCA Strategy - R3c0nTraderUpdate: Republishing this as Public Open-Source script. Credits: Thank you "EvoCrypto" for granting me permission to use "Ranged Volume" to create this strategy. Thank you "junyou0424" for granting me permission to use "DCA Bot with SuperTrend Emulator" which I used for adding bot inputs, calculations, and strategy What does this do? This script is mainly used for backtesting a Ranged Volume strategy to see how a 3Commas bot would perform. I created this script out of necessity and I wanted a way to test a 3Commas DCA bot with a strategy based on “Volume.” I came across "EvoCrypto’s" "Ranged Volume" study and strategy in TradingView and I liked it. I wanted to configure it so it can be used for DCA bot backtesting. I used parts from "junyou0424’s" "DCA Bot with SuperTrend Emulator" to add the following: 1. The Start Time and End Time 2. Price deviation to open safety orders (%) 3. Target Take Profit (%) 4. Trailing deviation 5. Base Order and Safety Order 6. Safety order volume scale 7. Safety order step scale 8. Max safety orders In addition to the above, I also added chart indicators for "Take Profit" as well as "Safety Order" Pre-requisites: You can use this script without a 3Commas account and see how 3Commas DCA Bot and Ranged Volume strategy would perform vs. a non-DCA strategy. However, I highly recommend signing up for their free account and going through their training. This would give you a base understanding on the settings you will see in this strategy and why you will need to know them. That said these are the pre-requisites I suggest you have: 1. Base Knowledge of 3Commas DCA bots 2. Base knowledge of settings such as “Max safety trades count”, “safety order volume scale” and “safety order step scale”. If these are alien to you, I suggest you read up on these. 3. Knowledge of setting up a Single-pair 3Commas bot for receiving custom TradingView signal. 4. A paper-bot to test your ideas. (Do not use a real money bot until you have tested it sufficiently with a paper-bot. You alone are responsible for your results!) 5. Add the study I created called "R3c0nTrader’s Ranged Volume Study” which adds a separate chart in its own pane showing the volume spikes. It will also generate the “buy” signals for your bot. NOTE: The study also has the same color scheme as this strategy and having the colors in both the strategy and the study will make things easier to see. If you use EvoCrypto’s Ranged Volume Study instead, just keep in mind that the colors won’t match, and you will have to manually match them. 6. Make your buy signals from your strategy are the same as in your study! To do this, use the same “Volume Range Length” you entered in the STRATEGY and enter that value for the “Volume Range Length” in the STUDY. Also ensure you have the same settings for “Heikin Ashi” (On or Off). Comparisons of Ranged Volume Strategy vs Ranged Volume DCA Strategy BTCUSD Beware of Strategies that claim super high profits. This can easily be done by lowering the initial capital to something unrealistic. If I did that with this strategy and set the initial capital $100 and base order size to $100, I get a net profit of 2,864% which is not realistic. How to Use 1. On the “Inputs” tab: a. Set your Start and End Time to backtest against. b. Set your “Volume Range Length” (number of bars to look back) c. “Heikin Ashi Colors” – Usually I leave this enabled d. “Show Bar Colors” – Leave enabled e. “Show Break-Out” – Leave enabled f. “Show Range” – Leave enabled g. Set your other inputs which are those settings you would find in your 3Commas bot that you want to test (e.g., Price deviation to open safety orders, Target Take Profit, Base order, Safety order, etc.). h. Quick Example for BTCUSD on 2hr chart: i. Price deviation to open safety orders (%) = 6 ii. Target Take Profit (%) = 14 iii. Trailing deviation = 0 iv. Base order = 100 v. Safety order = 200 vi. Safety order volume scale = 2 vii. Safety order step scale = 1.4 viii. Max safety order = 5 2. On the “Properties” tab, set your initial capital, base currency, etc. a. Initial capital – Default is 10,000 (Please use realistic values here. The amount here should be able to cover ALL your safety orders if they were triggered. Ideally, you should have funds left over and not use all trade capital.) b. Base currency – Select your currency c. Order Size - Not used. Use the “Inputs” tab to change your base order size. d. Leave “Pyramiding” set to 999. This acts as a ceiling to the “Max safety orders” on the “Inputs” tab. It must always be higher than your “Max safety orders.” For example, if you set your “Max safety orders” to “4” and “Pyramiding” to “4” then it effectively means you have “3” “Max safety orders” and not “4” because it is counting each successive entry including the initial order. e. “Commission” - Optional f. “Verify price for limit orders” – Leave at zero. This does not change anything that I can tell. g. Optional - Enter a value for “Commission” h. Slippage – Optional. Slippage does not occur in backtesting but does occur in real trading but it can be simulated. Example use case for tracking performance of a real money bot: You enter the start date and time of your bot’s trade into this strategy and you notice some values are a little off due to slippage (average price, take profit, safety orders are not lining up) then you would go back here and increase the slippage until those lines up close enough with your actuals. i. Margin for long positions – I don’t use this honestly. j. Margin for short positions – I don’t use this honestly. k. Recalculate “After order is filled” and “On every tick” – I don’t use this honestly. 3. “Style” tab a. Ranged Volume Bar Coloring - You must disable bar coloring in any studies you added or this may not work properly i. Color 0 – Default Yellow; appears when a volume breakout occurs ii. Color 1 – Default Red; appears when a volume breakdown occurs iii. Color 2 – Light Blue; appears when Close is higher than the Open iv. Color 3 – Dark Blue; appears when the Close is lower than the Open b. Take profit – Default Green; take profit line c. Safety order – Default Light Blue; safety order line d. No Safety Orders left – Default Red; when a trade runs out of safety orders, the line turns red and there is no safety orders left underneath to catch any further falling price movements. e. Avg Position Price – Default Orange; your average position price for any given trade. f. Take Profit Plot Area – Default Green; creates a highlighted area for your take profit g. SO Plot Area – Default Light Blue; creates a highlighted area for your safety orders h. Trades on chart – Show or hide your trades on the chart i. Signal labels – Show or hide the trade signal labels on the chart j. Quantity – Show or hide the trade quantity on the chart Explanation of Chart lines and colors on chart
Pine Script® strategy
by R3c0nTrader
7
Range Oscillator Strategy + Stoch Confirm🔹 Short summary This is a free, educational long-only strategy built on top of the public “Range Oscillator” by Zeiierman (used under CC BY-NC-SA 4.0), combined with a Stochastic timing filter, an EMA-based exit filter and an optional risk-management layer (SL/TP and R-multiple exits). It is NOT financial advice and it is NOT a magic money machine. It’s a structured framework to study how range-expansion + momentum + trend slope can be combined into one rule-based system, often with intentionally RARE trades. ──────────────────────── 0. Legal / risk disclaimer ──────────────────────── • This script is FREE and public. I do not charge any fee for it. • It is for EDUCATIONAL PURPOSES ONLY. • It is NOT financial advice and does NOT guarantee profits. • Backtest results can be very different from live results. • Markets change over time; past performance is NOT indicative of future performance. • You are fully responsible for your own trades and risk. Please DO NOT use this script with money you cannot afford to lose. Always start in a demo / paper trading environment and make sure you understand what the logic does before you risk any capital. ──────────────────────── 1. About default settings and risk (very important) ──────────────────────── The script is configured with the following defaults in the `strategy()` declaration: • `initial_capital = 10000` → This is only an EXAMPLE account size. • `default_qty_type = strategy.percent_of_equity` • `default_qty_value = 100` → This means 100% of equity per trade in the default properties. → This is AGGRESSIVE and should be treated as a STRESS TEST of the logic, not as a realistic way to trade. TradingView’s House Rules recommend risking only a small part of equity per trade (often 1–2%, max 5–10% in most cases). To align with these recommendations and to get more realistic backtest results, I STRONGLY RECOMMEND you to: 1. Open **Strategy Settings → Properties**. 2. Set: • Order size: **Percent of equity** • Order size (percent): e.g. **1–2%** per trade 3. Make sure **commission** and **slippage** match your own broker conditions. • By default this script uses `commission_value = 0.1` (0.1%) and `slippage = 3`, which are reasonable example values for many crypto markets. If you choose to run the strategy with 100% of equity per trade, please treat it ONLY as a stress-test of the logic. It is NOT a sustainable risk model for live trading. ──────────────────────── 2. What this strategy tries to do (conceptual overview) ──────────────────────── This is a LONG-ONLY strategy designed to explore the combination of: 1. **Range Oscillator (Zeiierman-based)** - Measures how far price has moved away from an adaptive mean. - Uses an ATR-based range to normalize deviation. - High positive oscillator values indicate strong price expansion away from the mean in a bullish direction. 2. **Stochastic as a timing filter** - A classic Stochastic (%K and %D) is used. - The logic requires %K to be below a user-defined level and then crossing above %D. - This is intended to catch moments when momentum turns up again, rather than chasing every extreme. 3. **EMA Exit Filter (trend slope)** - An EMA with configurable length (default 70) is calculated. - The slope of the EMA is monitored: when the slope turns negative while in a long position, and the filter is enabled, it triggers an exit condition. - This acts as a trend-protection exit: if the medium-term trend starts to weaken, the strategy exits even if the oscillator has not yet fully reverted. 4. **Optional risk-management layer** - Percentage-based Stop Loss and Take Profit (SL/TP). - Risk/Reward (R-multiple) exit based on the distance from entry to SL. - Implemented as OCO orders that work *on top* of the logical exits. The goal is not to create a “holy grail” system but to serve as a transparent, configurable framework for studying how these concepts behave together on different markets and timeframes. ──────────────────────── 3. Components and how they work together ──────────────────────── (1) Range Oscillator (based on “Range Oscillator (Zeiierman)”) • The script computes a weighted mean price and then measures how far price deviates from that mean. • Deviation is normalized by an ATR-based range and expressed as an oscillator. • When the oscillator is above the **entry threshold** (default 100), it signals a strong move away from the mean in the bullish direction. • When it later drops below the **exit threshold** (default 30), it can trigger an exit (if enabled). (2) Stochastic confirmation • Classic Stochastic (%K and %D) is calculated. • An entry requires: - %K to be below a user-defined “Cross Level”, and - then %K to cross above %D. • This is a momentum confirmation: the strategy tries to enter when momentum turns up from a pullback rather than at any random point. (3) EMA Exit Filter • The EMA length is configurable via `emaLength` (default 70). • The script monitors the EMA slope: it computes the relative change between the current EMA and the previous EMA. • If the slope turns negative while the strategy holds a long position and the filter is enabled, it triggers an exit condition. • This is meant to help protect profits or cut losses when the medium-term trend starts to roll over, even if the oscillator conditions are not (yet) signalling exit. (4) Risk management (optional) • Stop Loss (SL) and Take Profit (TP): - Defined as percentages relative to average entry price. - Both are disabled by default, but you can enable them in the Inputs. • Risk/Reward Exit: - Uses the distance from entry to SL to project a profit target at a configurable R-multiple. - Also optional and disabled by default. These exits are implemented as `strategy.exit()` OCO orders and can close trades independently of oscillator/EMA conditions if hit first. ──────────────────────── 4. Entry & Exit logic (high level) ──────────────────────── A) Time filter • You can choose a **Start Year** in the Inputs. • Only candles between the selected start date and 31 Dec 2069 are used for backtesting (`timeCondition`). • This prevents accidental use of tiny cherry-picked windows and makes tests more honest. B) Entry condition (long-only) A long entry is allowed when ALL the following are true: 1. `timeCondition` is true (inside the backtest window). 2. If `useOscEntry` is true: - Range Oscillator value must be above `entryLevel`. 3. If `useStochEntry` is true: - Stochastic condition (`stochCondition`) must be true: - %K < `crossLevel`, then %K crosses above %D. If these filters agree, the strategy calls `strategy.entry("Long", strategy.long)`. C) Exit condition (logical exits) A position can be closed when: 1. `timeCondition` is true AND a long position is open, AND 2. At least one of the following is true: - If `useOscExit` is true: Oscillator is below `exitLevel`. - If `useMagicExit` (EMA Exit Filter) is true: EMA slope is negative (`isDown = true`). In that case, `strategy.close("Long")` is called. D) Risk-management exits While a position is open: • If SL or TP is enabled: - `strategy.exit("Long Risk", ...)` places an OCO stop/limit order based on the SL/TP percentages. • If Risk/Reward exit is enabled: - `strategy.exit("RR Exit", ...)` places an OCO order using a projected R-multiple (`rrMult`) of the SL distance. These risk-based exits can trigger before the logical oscillator/EMA exits if price hits those levels. ──────────────────────── 5. Recommended backtest configuration (to avoid misleading results) ──────────────────────── To align with TradingView House Rules and avoid misleading backtests: 1. **Initial capital** - 10 000 (or any value you personally want to work with). 2. **Order size** - Type: **Percent of equity** - Size: **1–2%** per trade is a reasonable starting point. - Avoid risking more than 5–10% per trade if you want results that could be sustainable in practice. 3. **Commission & slippage** - Commission: around 0.1% if that matches your broker. - Slippage: a few ticks (e.g. 3) to account for real fills. 4. **Timeframe & markets** - Volatile symbols (e.g. crypto like BTCUSDT, or major indices). - Timeframes: 1H / 4H / **1D (Daily)** are typical starting points. - I strongly recommend trying the strategy on **different timeframes**, for example 1D, to see how the behaviour changes between intraday and higher timeframes. 5. **No “caution warning”** - Make sure your chosen symbol + timeframe + settings do not trigger TradingView’s caution messages. - If you see warnings (e.g. “too few trades”), adjust timeframe/symbol or the backtest period. ──────────────────────── 5a. About low trade count and rare signals ──────────────────────── This strategy is intentionally designed to trade RARELY: • It is **long-only**. • It uses strict filters (Range Oscillator threshold + Stochastic confirmation + optional EMA Exit Filter). • On higher timeframes (especially **1D / Daily**) this can result in a **low total number of trades**, sometimes WELL BELOW 100 trades over the whole backtest. TradingView’s House Rules mention 100+ trades as a guideline for more robust statistics. In this specific case: • The **low trade count is a conscious design choice**, not an attempt to cherry-pick a tiny, ultra-profitable window. • The goal is to study a **small number of high-conviction long entries** on higher timeframes, not to generate frequent intraday signals. • Because of the low trade count, results should NOT be interpreted as statistically strong or “proven” – they are only one sample of how this logic would have behaved on past data. Please keep this in mind when you look at the equity curve and performance metrics. A beautiful curve with only a handful of trades is still just a small sample. ──────────────────────── 6. How to use this strategy (step-by-step) ──────────────────────── 1. Add the script to your chart. 2. Open the **Inputs** tab: - Set the backtest start year. - Decide whether to use Oscillator-based entry/exit, Stochastic confirmation, and EMA Exit Filter. - Optionally enable SL, TP, and Risk/Reward exits. 3. Open the **Properties** tab: - Set a realistic account size if you want. - Set order size to a realistic % of equity (e.g. 1–2%). - Confirm that commission and slippage are realistic for your broker. 4. Run the backtest: - Look at Net Profit, Max Drawdown, number of trades, and equity curve. - Remember that a low trade count means the statistics are not very strong. 5. Experiment: - Tweak thresholds (`entryLevel`, `exitLevel`), Stochastic settings, EMA length, and risk params. - See how the metrics and trade frequency change. 6. Forward-test: - Before using any idea in live trading, forward-test on a demo account and observe behaviour in real time. ──────────────────────── 7. Originality and usefulness (why this is more than a mashup) ──────────────────────── This script is not intended to be a random visual mashup of indicators. It is designed as a coherent, testable strategy with clear roles for each component: • Range Oscillator: - Handles mean vs. range-expansion states via an adaptive, ATR-normalized metric. • Stochastic: - Acts as a timing filter to avoid entering purely on extremes and instead waits for momentum to turn. • EMA Exit Filter: - Trend-slope-based safety net to exit when the medium-term direction changes against the position. • Risk module: - Provides practical, rule-based exits: SL, TP, and R-multiple exit, which are useful for structuring risk even if you modify the core logic. It aims to give traders a ready-made **framework to study and modify**, not a black box or “signals” product. ──────────────────────── 8. Limitations and good practices ──────────────────────── • No single strategy works on all markets or in all regimes. • This script is long-only; it does not short the market. • Performance can degrade when market structure changes. • Overfitting (curve fitting) is a real risk if you endlessly tweak parameters to maximise historical profit. Good practices: - Test on multiple symbols and timeframes. - Focus on stability and drawdown, not only on how high the profit line goes. - View this as a learning tool and a basis for your own research. ──────────────────────── 9. Licensing and credits ──────────────────────── • Core oscillator idea & base code: - “Range Oscillator (Zeiierman)” - © Zeiierman, licensed under CC BY-NC-SA 4.0. • Strategy logic, Stochastic confirmation, EMA Exit Filter, and risk-management layer: - Modifications by jokiniemi. Please respect both the original license and TradingView House Rules if you fork or republish any part of this script. ──────────────────────── 10. No payments / no vendor pitch ──────────────────────── • This script is completely FREE to use on TradingView. • There is no paid subscription, no external payment link, and no private signals group attached to it. • If you have questions, please use TradingView’s comment system or private messages instead of expecting financial advice. Use this script as a tool to learn, experiment, and build your own understanding of markets. ──────────────────────── 11. Example backtest settings used in screenshots ──────────────────────── To avoid any confusion about how the results shown in screenshots were produced, here is one concrete example configuration: • Symbol: BTCUSDT (or similar major BTC pair) • Timeframe: 1D (Daily) • Backtest period: from 2018 to the most recent data • Initial capital: 10 000 • Order size type: Percent of equity • Order size: 2% per trade • Commission: 0.1% • Slippage: 3 ticks • Risk settings: Stop Loss and Take Profit disabled by default, Risk/Reward exit disabled by default • Filters: Range Oscillator entry/exit enabled, Stochastic confirmation enabled, EMA Exit Filter enabled If you change any of these settings (symbol, timeframe, risk per trade, commission, slippage, filters, etc.), your results will look different. Please always adapt the configuration to your own risk tolerance, market, and trading style.
Pine Script® strategy
by jokiniemi
Range Filter + ATR Strategy (Low Drawdown)Key Features for Low Drawdown: Range Filter: Identifies trends while filtering out market noise ATR-based Position Sizing: Adjusts position size based on volatility to risk a fixed percentage of capital Trailing Stops: Uses ATR-based trailing stops to lock in profits and limit losses Conservative Risk Parameters: Defaults to 1% risk per trade (adjustable) Trend Confirmation: Requires two consecutive closes above/below the range filter How to Use: The strategy enters long when price is above the upper range filter for two consecutive bars Enters short when price is below the lower range filter for two consecutive bars Uses ATR to size positions appropriately for current volatility Implements trailing stops based on ATR to protect profits Optimization Tips: Adjust the Range Filter period based on your timeframe Modify the risk percentage (1% is conservative) Tweak the ATR multiple for trailing stops (1.5 is moderate) Consider adding a time-based exit if drawdown is still too high
Pine Script® strategy
by TOLLBOOTH
3
Range Strat - MACD/RSIThis strategy uses a trend based indicator (MACD) for entry/exit signals with a momentum oscillator (RSI) to act as confirmation. Although relying on a trend based indicator this has been created for range bound crypto markets, which have been in a period of chop since June 2022. Long/Short signals are generated from MACD with the RSI oscillator thresholds suppressing entries at price extremes. This is not a mean reversion RSI strategy! As the indicators are contrary to each other you will need to be generous with the RSI settings in order for signals to trigger. Strategy is designed for use on the 4h timeframe, it may work well on higher timeframes, but lower time frames will lead to false signals. Use fixed percentage of equity for order size to capture the compounding effect. As a reversal strategy bear in mind that should market trend strongly in either direction stops will be required. The RSI thresholds can be tailored to provide higher frequency or safer signals. Similarly tweaking MACD settings will provide earlier/more frequent or safer signals. As this is intended to enter near range high / low you should check the visual cues to ensure a ping-pong effect is observed, so that peaks and troughs are captured. Once an observable range is established the strategy works well across a range of crypto markets, The script is open source, so feel free to amend as you wish. Using a different momentum oscillator may provide better results. I have prior coding experience, but first time using PineScript was last night, so it's not very tidy. I will update this with some additional customisation and TP/SL in the near future. Usage: Range bound markets Markets: Cryptocurrency Alts/BTC/ETH Timeframe: 4h
Pine Script® strategy
by kuhoerk
9
Candle Range Theory [Advanced] - AlgoVisionUnderstanding Candle Range Theory (CRT) in the AlgoVision Indicator Candle Range Theory (CRT) is a structured approach to analyzing market movements within the price ranges of candlesticks. CRT is founded on the idea that each candlestick on a chart, regardless of timeframe, represents a distinct range of price action, marked by the candle's open, high, low, and close. This range gives insights into market dynamics, and when analyzed in lower timeframes, reveals patterns that indicate underlying market sentiment and institutional behaviors. Key Concepts of Candle Range Theory Candlestick Range: The range of a candlestick is simply the distance between its high and low. Across timeframes, this range highlights significant price behavior, with each candlestick representing a snapshot of price movement. The body (distance between open and close) shows the primary price action, while wicks (shadows) reflect price fluctuations or "noise" around this movement. Multi-Timeframe Analysis: A higher-timeframe (HTF) candlestick can be dissected into smaller, structured price movements in lower timeframes (LTFs). By analyzing these smaller movements, traders gain a detailed view of the market’s progression within the HTF candlestick’s range. Each HTF candlestick’s high and low provide support and resistance levels on the LTF, where the price can "sweep," break out, or retest these levels. Market Behavior within the Range: Price action within a range doesn’t move randomly; it follows structured behavior, often revealing patterns. By analyzing these patterns, CRT provides insights into the market’s intention to accumulate, manipulate, or distribute assets within these ranges. This behavior can indicate future market direction and increase the probability of accurate trading signals. CRT and ICT Power of 3: Accumulation, Manipulation, and Distribution (AMD) A foundational element of our CRT indicator is its combination with ICT’s Power of 3 (Accumulation, Manipulation, and Distribution or AMD). This approach identifies three stages of market movement: Accumulation: During this phase, institutions accumulate positions within a tight price range, often leading to sideways movement. Here, price consolidates as institutions carefully enter or exit positions, erasing traces of their intent from public view. Manipulation: Institutions often use manipulation to create false breakouts, targeting retail traders who enter the market on perceived breakouts or reversals. Manipulation is characterized by liquidity grabs, false breakouts, or stop hunts, as price momentarily moves outside the established range before quickly returning. Distribution: Following accumulation and manipulation, the distribution phase aligns with the true market direction. Institutions now allow the market to move with the trend, initiating a stronger and more sustained price movement that aligns with their intended position. This AMD cycle is often observed across multiple timeframes, allowing traders to refine entries and exits by identifying accumulation, manipulation, and distribution phases on smaller timeframes within the range of a higher-timeframe candle. CRT views this cycle as the "heartbeat" of the market—a continuous loop of price movements. With our indicator, you can identify this cycle on your current timeframe, with the signal candle acting as the "manipulation" candle. How to Use the Premium AlgoVision CRT Indicator 1. Indicator Display Options Bullish/Bearish Plot Indication: Toggles the display of bullish or bearish CRT signals. Turn this on to display signals on your chart or off to reduce screen clutter. Order Block Indication: Highlights the order block entry price, which is the preferred entry point for CRT trades. Purge Time Indication: Shows when the low or high of Candle 1 is purged by Candle 2, helping to identify potential manipulation points. 2. Filter Options Match Indicator Candle with Signal: Ensures that only bullish Candle 2s (for longs) or bearish Candle 2s (for shorts) are signaled. This filter helps eliminate signals where the candlestick’s direction does not align with the CRT model. Take Profit Already Reached: When enabled, this filter removes CRT signals if take profit levels are reached within Candle 2. This helps focus on setups where there’s still room for price movement. Midnight Price Filter: Filters signals based on midnight price levels: Longs: Only signals if the order block entry price is below the midnight price. Shorts: Only signals if the order block entry price is above the midnight price. 3. Entry and Exit Settings Wick out prevention: Allows positions to stay open and prevent getting wicked out. Positions will still be able to close if determined by the algorithm. Buy/Sell: This allows you to set you daily bias. You can select to only see buys or sells. Custom Stop Loss: Sets a custom stop loss distance from the entry price (e.g., $100 or $200 away) if the predefined stop loss based on Candle 2’s low/high doesn’t suit your preference. Take Profit Levels: Choose from three take profit levels: Optimized Take Profit: Uses an optimized take profit level based on CRT’s recommended exit point. Take Profit 1: Sets an initial take profit level. Take Profit 2: Sets a secondary take profit level for a more extended exit target. Timeframe of Order Block: Select the timeframe of the order block entry, which can be tailored based on the timeframe of the CRT signal. Risk-to-Reward Filter: Filters trades based on a specified risk-to-reward ratio, using the indicator’s stop loss as the base. This helps to ensure trades meet minimum reward criteria. 4. Risk Management Fixed Entry QTY: This will allow you to open all positions with a fixed QTY Risk to Reward Ratio: This allows you to set a minimum risk to reward ratio, the strategy will only take trades if this risk to reward is met. Risk Type: Fixed Amount: Allows you to risk a fixed $ amount. % of account: Allows you to risk % of account equity. 5. Day and Time Filters Filter by Days: Specify the days of the week for CRT signals to appear. For instance, you could enable signals only on Thursdays. This setting can be adjusted to any day or combination of days. Purge Time Filter: Filters CRT signals based on specific purge times when Candle 1’s low/high is breached by Candle 2, as CRT setups are observed to work best during certain times. Hour Filters for CRT Signals: 1-Hour CRT Times: Allows filtering CRT signals based on specific 1-hour time intervals. 4-Hour CRT Times: Filter 4-hour CRT signals based on specified times. Forex and Futures Conversion: Adjusts times based on standard sessions for Forex (e.g., 9:00 AM 4-hour candle) and Futures (e.g., 10 PM candle for Futures or 8 AM for Crypto). 6. Currency and Asset-Specific Filters Crypto vs. Forex Mode: This setting adjusts the indicator’s timing to match market sessions specific to either crypto or Forex/Futures, ensuring the CRT model aligns with the asset type. Additional Notes Backtesting Options: Adjust these to test risk management, such as risking a fixed amount or a percentage of the account, for historical performance insights. Optimized Settings: This version includes all features and optimized settings, with the most refined data analysis. Conclusion By combining CRT with ICT Power of 3, the AlgoVision Indicator allows traders to leverage the CRT candlestick as a versatile tool for identifying potential market moves. This method provides beginners and seasoned traders alike with a robust framework to understand market dynamics and refine trade strategies across timeframes. Setting alerts on the higher timeframe to catch bullish or bearish CRT signals allows you to plan and execute trades on the lower timeframe, aligning your strategy with the broader market flow.
Pine Script® strategy
by AlgoVisionTrading
12
IU Range Trading StrategyIU Range Trading Strategy The IU Range Trading Strategy is designed to identify range-bound markets and take trades based on defined price ranges. This strategy uses a combination of price ranges and ATR (Average True Range) to filter entry conditions and incorporates a trailing stop-loss mechanism for better trade management. User Inputs: - Range Length: Defines the number of bars to calculate the highest and lowest price range (default: 10). - ATR Length: Sets the length of the ATR calculation (default: 14). - ATR Stop-Loss Factor: Determines the multiplier for the ATR-based stop-loss (default: 2.00). Entry Conditions: 1. A range is identified when the difference between the highest and lowest prices over the selected range is less than or equal to 1.75 times the ATR. 2. Once a valid range is formed: - A long trade is triggered at the range high. - A short trade is triggered at the range low. Exit Conditions: 1. Trailing Stop-Loss: - The stop-loss adjusts dynamically using ATR targets. - The strategy locks in profits as the trade moves in your favor. 2. The stop-loss and take-profit levels are visually plotted for transparency and easier decision-making. Features: - Automated box creation to visualize the trading range. - Supports one position at a time, canceling opposite-side entries. - ATR-based trailing stop-loss for effective risk management. - Clear visual representation of stop-loss and take-profit levels with colored bands. This strategy works best in markets with defined ranges and can help traders identify breakout opportunities when the price exits the range.
Pine Script® strategy
by Shivam_Mandrai
[Opening Range Breakout] S&R Strategy with Backtest (TSO) S&R Strategy with Backtest (TSO) =========================================================================== =========================================================================== This indicator serves as a comprehensive full-cycle trading system, providing alerts at each stage of the trade, from opening to closure. The algorithm initiates by calculating the Opening/Pre-Market Price Range, waiting for a breakout to generate signals, and establishing TP (Take Profit and SL (Stop Loss) levels. The Opening/Pre-Market range, known for its robust support and resistance levels, is a key element. To filter out false breakouts and capture valid ones, the indicator incorporates a Smart Breakout feature, requiring confirmation through an initial breakout, a confirmation bounce, and a subsequent confirmation breakout. The indicator offers a variety of automated approaches for TP (Take-Profit) and SL (Stop-Loss) settings. These include leveraging opening range levels, both the most recent and historical S&R (Support and Resistance) levels, and an ATR (Average True Range) trailing stop-loss. This diverse set of tools ensure flexibility in tailoring TP (Take-Profit) and SL (Stop-Loss) parameters to different market conditions, contributing to a more adaptive and robust trading system. Additionally, a series of signal analysis tools, including candle bar analysis, divergence, and volume, enhance the precision of trading signals. * Works with popular timeframes: 1M, 3M, 5M, 15M, 30M, 45M, 1H. * Works best with Indices, Stocks, and Commodities, since there is pre-market price movement, which is used to obtain support and resistance price range. * Every action of the trade is calculated on a confirmed closed candle bar state (barstate.isconfirmed), so the indicator will never repaint. ============================================================== Indicator visual examples with various instruments: --------------------------------------------------------------------------- Strategy Config: ORB_AAPL(NASDAQ)_15M Example of Signal Cleanup confirmations via SMA and ATR. Take-Profit is calculated per optimal S&R (resistance) most recent levels. --------------------------------------------------------------------------- Strategy Config: ORB_AMD(NASDAQ)_5M Example of optimal S&R (resistance) level from previous day for Take-Profit 1 target, which gets hit. --------------------------------------------------------------------------- Strategy Config: ORB_META(NASDAQ)_5M Example of dynamic SL (Stop-Loss), which reduces the risk by moving to the new support level, which is at the same time is below the current price. Also Signal Cleanup confirmations via SMA, ATR and VWAP --------------------------------------------------------------------------- Strategy Config: ORB_MSFT(NASDAQ)_15M Example of automated ATR Trail Stop-Loss activation at no optimal S&R (support) feature. --------------------------------------------------------------------------- Strategy Config: ORB_NFLX(NASDAQ)_3M Example of a skipped LONG trade due to no optimal S&R (support) for Stop-Loss (can be seen per chart that it would be a loss trade). On another side, a SHORT SMA Confirmed trade hits all 3 profit targets. --------------------------------------------------------------------------- Strategy Config: ORB_NVDA(NASDAQ)_15M Example of no optimal support for SHORT Take-Profit targets, with ATR Trail Stop-Loss. --------------------------------------------------------------------------- Strategy Config: ORB_SPY(AMEX)_15M Example of several signal confirmations at the same time (SMA, VWAP, EWO) and S&R-TP-Entry-SL SL (Stop-Loss) system, which at trade open sets SL (Stop-Loss) per optimal S&R (since this is a LONG trade - support) and then moves to Entry at first take-profit. =========================================================================== Trading open/close/TP/SL labels, plots and colors explanations: --------------------------------------------------------------------------- >>> Opening/Pre-Market range: White dashed lines show opening range/pre-market levels with dotted white line extend along the Trading Schedule (if Trading Schedule is turned off - it will extend until next day). >>> Smart Breakout: 1) Initial Breakout: "init_Brekout" | 2) Confirmation Bounce: "conf_Bounce" | 3) Confirmation Breakout: "conf_Breakout" (additional lables on chart can be hidden with only Confirmation Breakout shown). >>> Additional S&R (Support and Resistance) lines: yellow - support, blue - resistance (can be hidden). >>>>> LONG open: green "house" looking arrow below candle bar. >>>>> SHORT open: red "house" looking arrow above candle bar. >>>>> LONG/SHORT take-profit target: green/red circles (multi-profit > TP2/3/4/5 smaller circles). >>>>> LONG/SHORT stop-loss target: green/red + crosses. >>>>> LONG/SHORT take-profit hits: green/red diamonds. >>>>> LONG/SHORT stop-loss hits: green/red X-crosses. >>>>> LONG/SHORT EOD (End of Day | Intraday style) close (profitable trade): green/red squares. >>>>> LONG/SHORT EOD (End of Day | Intraday style) close (loss trade): green/red PLUS(+)-crosses. =========================================================================== STATS TABLE /////////////////////////////////////////////////////////////// --------------------------------------------------------------------------- >>> Trading STATS table on the chart showing current trade direction, Last TP (Take-Profit) Taken, Current Trade PL (profit/loss in price difference from trade open to the very current state). --------------------------------------------------------------------------- CUSTOM TRADING DATE RANGE ///////////////////////////////////////////////// --------------------------------------------------------------------------- >>>>> This feature can be used to manually set indicator trading range from and to a specific date and time. NOTE: This is not intended for a very long date range backtesting, utilize TradingView Strategy Tester for that. * Use TradingView “Strategy Tester” to see Backtesting results NOTE: If Strategy Tester does not show any results with Date Ranged fully unchecked, there may be an issue where a script opens a trade, but there is not enough TradingView power to set the Take-Profit and Stop-Loss and somehow an open trade gets stuck and never closes, so there are “no trades present”. In such case - manually check “Start”/“End” dates or use “Deep Backtesting” feature! --------------------------------------------------------------------------- INTRADAY/TRADING SCHEDULE | ET (EASTERN TIMEZONE) //////////////////////// --------------------------------------------------------------------------- >>> Trading Schedule - On/Off: This is where an Intraday Session or any custom session can be turned on and then scheduled. >>>>> Trading Schedule - Time: Trade open Signals/Alerts time zone Hours. | NOTE: US Market Active Hours: 09:30 - 16:00 ET / Power Hour: 15:00 - 16:00 ET) >>> Trading Schedule - EOD(End of Day) Close - On/Off: Close trade if still open by certain hour (set below). >>>>> Trading Schedule - EOD(End of Day) Close - Hour (ET): US trading session closes at 4PM ET > 16:00. Here is when the trade will close with EOD(End of Day) Close/Trading Cut Off Hour set to 16, which is end of US trading session: 1/3/5min > will close at 15:55pm ET 15min > will close at 15:45pm ET 30min > will close at 15:30pm ET 45min > will close at 15:45pm ET 60min > will close at 16:00pm ET Here is when the trade will close with EOD(End of Day) Close/Trading Cut Off Hour set to 15, which is 1 hour before the end of US trading session (right before power hour starts): 1/3/5min > will close at 14:55pm ET 15min > will close at 14:45pm ET 30min > will close at 14:30pm ET 45min > will close at 14:45pm ET 60min > will close at 15:00pm ET --------------------------------------------------------------------------- TRADE SIGNAL CONFIGURATION //////////////////////////////////////////////// --------------------------------------------------------------------------- >>> Opening Range - Time Period (ET): Opening/Pre-Market Range time, which by default is set to US Session Pre-Market Range, can be customized to any time range as there are different market hours around the world and this setting can be customized to any time. Pre-Market Time/Price Range Hours(ET) | Pre-Market EU/Asia Hours: 4:00-9:30 ET | Pre-Market US (NY) Hours: 7:00-9:30 ET | Post-Market US Hours: 16:00-19:00 ET | First US Market Hour: 9:30-10:30 ET | Power Hour: 15:00-16:00) >>> Opening Range - Levels Structure: determines how the price range is calculated, based on the highest/lowest price zones or based on the candle body bar. >>> Opening Range - Breakout System: "Simple": bar close price has to simply break the opening range level | "Smart": After initial breakout (which is basically 'Simple' Breakout), a price come back is expected to the opening range level, a bounce, then a confirmation breakout with price closing ahead of the initial breakout. >>>>> Opening Range - Smart Breakout: # of bars until Initial Breakout becomes invalid >>>>> Opening Range - Smart Breakout: Bounce Settings, "Cross-Return" - LONG: Price has to cross down the initial breakout S&R, but never close below it; SHORT: Price has to cross up the initial breakout S&R, but then close above it; ||| "Cross-Close-Return" - LONG: At least 1 candle has to close below initial breakout S&R; SHORT: At least 1 candle has to close above initial breakout S&R. >>>>> Alerts - Opening Range - Smart Breakout: Confirmation Bounce Alert. Trigger an alert at confirmation bounce. This is for live trading (especially scalping) Smart Breakout approach - to get ready to open the trade in the correct direction. --------------------------------------------------------------------------- TAKE-PROFIT/STOP-LOSS CONFIGURATION /////////////////////////////////////// --------------------------------------------------------------------------- >>> TP (Take-Profit) and SL (Stop-Loss): S&R Search - Left Bars: This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with below - Right Bars) for S&R (Support and Resistance) TP (Take-Profit) levels calculations. NOTE: if at any point - there will be no available S&R (Support & Resistance) found for SL (Stop-Loss, 'S&R-Dynamic-SL' or 'S&R-Static-SL' setting, since both settings search for optimal SL (Stop-Loss) at trade open) or TP (Take-Profit, at any setting, since at trade open, an optimal TP (Take-Profit) level is searched) > SL (Stop-Loss) will automatically switch to trailing ATR-Trailing-SL and the trade will continue to run until it either hits ATR-Trailing-SL (Stop-Loss) or closes at EOD (End of Day). >>> TP (Take-Profit) and SL (Stop-Loss): S&R Search - Right Bars: This setting is for calculating optimal S&R (Support and Resistance) levels (in combination with above - Left Bars) for S&R (Support and Resistance) TP (Take-Profit) levels calculations. NOTE: if at any point - there will be no available S&R (Support & Resistance) found for SL (Stop-Loss, 'S&R-Dynamic-SL' or 'S&R-Static-SL' setting, since both settings search for optimal SL (Stop-Loss) at trade open) or TP (Take-Profit, at any setting, since at trade open, an optimal TP (Take-Profit) level is searched) > SL (Stop-Loss) will automatically switch to trailing ATR-Trailing-SL and the trade will continue to run until it either hits ATR-Trailing-SL (Stop-Loss) or closes at EOD (End of Day). >>> TP (Take-Profit) and SL (Stop-Loss): S&R Search - Custom Resolution: This is a custom timeframe setting specifically for S&R Search, it disregards current chart timeframe. This is great to use for scalping, for example: with main chart set to 1min and the custom timeframe set to 3min or 5min - there will be stronger support/resistance levels with more detailed price action. >>> TP (Take-Profit) and SL (Stop-Loss): # of Bars (5000 max) to search back for optimal Support and Resistance levels: This is how many candles will be searched backwards for previous S&Rs (Support and Resistance) to find the optimal levels for TP (Take-Profit) and SL (Stop-Loss). NOTE: If SL (Stop-Loss) System is set to 'ATR-Trailing-SL' - this setting is only relevant for searching TP (Take-Profit) levels. >>> TP (Take-Profit) and SL (Stop-Loss): At Trade Open - No S&R (Support and Resistance) found behavior: 'Skip Trade': If at trade open there are no S&R (Support and Resistance) levels for TP1 (Take-Profit 1) or SL (Stop-Loss) - trade is skipped. 'Open/ATR-Trailing-SL': If at trade open there are no S&R (Support and Resistance) levels for TP1 (Take-Profit 1) or SL (Stop-Loss), the trade will still be open with SL (Stop-Loss) set to 'ATR-Trailing-SL'. >>> TP (Take-Profit) System: Pre-Market-Range-TP: All TP (Take-Profit) targets are calculated at trade open using the distance between Support and Resistance per Opening Pre-market Range and then divided by TP (Take-Profit) Divider, which can be set below; S&R-Current-Optimal-TP1: TP1 (Take-Profit) level is set per currently available S&R (Support & Resistance), if none available - historical S&R (Support & Resistance) levels will be searched, remaining TP (Take-Profit) targets (if selected, up to 5 # of TPs) are searched through most recent closest historical S&R (Support & Resistance) levels; S&R-Historic-Optimal-TP1: TP1 (Take-Profit) level is set per historically most recent closest available S&R (Support & Resistance) to the Entry price, remaining TP (Take-Profit) targets (if selected, up to 5 # of TPs) are searched through historical S&R (Support & Resistance) levels as well. >>> TP (Take-Profit, Pre-Market-Range-TP) Divider #: This is for 'Pre-Market-Range-TP' setting only, where TP (Take-Profit) level is the distance between top/bottom levels of the opening range. It can be reduced by the divider #. (1 - full distance; 2 - 1/2 distance; 3 - 1/3 distance; etc. >>> TP (Take-Profit) # of targets: It is wise to divide the trade into several profit targets. With this setting - up to 5 TP (Take-Profit) targets can be approached. The trade will be equally divided up by the selected # of TP (Take-Profit) targets. >>> TP (Take-Profit) target(s) Consumed: Signal Bar consuming Take-Profits - trade signal bar is big enough to 'consume'/close ahead of the first TP setting > the signal can either be skipped, or all Take-Profit targets pushed ahead by average bar size). >>> TP (Take-Profit) Offset - On/Off: This is a feature where TP (Take-Profit) target will be considered taken even if the price never crosses the target(s), but comes close enough (based on the offset amount). Set the offset amount below. >>>>> TP (Take-Profit) Offset - Amount: Some Examples: (for SPY 0.1 would be $0.10 offset - if TP1 is $400 and price hits $399.90 > TP1 considered taken/signal shown/alert) | NOTE: For EURUSD, it is very different and if wrong will show TP1 immediately at trade open, typical good offset for EURUSD is: 0.0005 | Similar for BTCUSD, for example: 10 - $10 offset, if TP is $15,000 > $14,990. >>> SL (Stop-Loss) System: 'Pre-Market-Range-SL': SL (Stop-Loss) is set to the opposite market range level from trade direction; 'S&R-Static-SL': SL (Stop-Loss) is set at trade open per optimal most recent S&R level and remains there until trade closes; 'S&R-Dynamic-SL': SL (Stop-Loss) is set at a trade open per optimal S&R (Support and Resistance) level from the most recent AND historical S&Rs (Support and Resistance), with every bar closed it will check if there are new S&Rs (Support and Resistance) levels, if these levels appear closer to the current price then current level - it will move SL (Stop-Loss) to that level, therefore reducing the risk; 'ATR-Trailing-SL': SL (Stop-Loss) is trail-following the ATR (Average True Range) line, NOTE: If at signal trigger, ATR will be against the trade direction - trade open signal will be skipped; 'S&R-TP-Entry-SL': SL (Stop-Loss) initially is set per S&R, then moves to Entry price at the very first TP (Take-Profit) hit and remains there until trade closes; 'S&R-TP-Trail-SL': SL (Stop-Loss) initially is set per S&R, then moves to Entry at TP1 (Take-Profit 1) hit, then keeps trailing per previously taken profit targets (TP2 taken, SL moves to TP1 | TP3 taken, SL moves to TP2 | TP4 taken, SL moves to TP3). NOTE: 'ATR-Trailing-SL' will not switch automatically if 'S&R-Dynamic-SL', S&R-TP-Entry-SL', 'S&R-TP-Trail-SL' system is selected, as already the most optimal SL (Stop-Loss) level is calculated - it will switch automatically only with 'S&R-Static-SL' system. >>> SL (Stop-Loss) - On/Off: Without SL (Stop-Loss), unless EOD (End of Day) Close is turned on - there will be no SL (Stop-Loss) at all! --------------------------------------------------------------------------- SIGNAL ANALYSIS AND CLEANUP /////////////////////////////////////////////// --------------------------------------------------------------------------- >>> Signal Cleanup - Bar Color: Include Bar Color (bullish/bearish) confirmation, LONG signal will only be opened if signal bar is green/bullish, SHORT if red/bearish. >>> Signal Cleanup - Bar Directional Structure: Skip opposite bar structure types signals (For example: bearish green hammer). >>> Signal Cleanup - Bar Doji Skip: Skip doji (indecisive) candles signals. >>> Signal Cleanup - EWO (Elliott Wave Oscillator): Include EWO (Elliott Wave Oscillator), LONG will only be opened if EWO is bullish / SHORT if EWO is bearish. >>> Signal Cleanup - VWAP (Volume-Weighted Average Price): Include VWAP (Volume-Weighted Average Price), LONG will only be opened if price is above VWAP / SHORT if price is below VWAP. >>> Signal Cleanup - MA (Moving Average) Confirmation: Include MA (Moving Average), LONG will only be opened if MA is bullish / SHORT if MA is bearish. >>> Signal Cleanup - ATR (Average True Range): Include ATR (Average True Range) confirmation, LONG will only be opened if ATR is bullish / SHORT if ATR is bearish. >>> Signal Cleanup - Divergence(RSI + MACD): Include Divergence (RSI + MACD ) confirmation, LONG will only be opened if Divergence is bullish / SHORT if Divergence is bearish. >>> Signal Cleanup - Volume % Strength: Include Volume strength/percentage confirmation, LONG/SHORT will only be opened with strong Volume matching the signal direction | By default, strong Volume percentage is set to 150% and weak to 50%. >>> Signal Cleanup - Volume Above Average: Include Volume Above Moving Average (Volume closing bar closes above volume moving average) confirmation, LONG/SHORT will only be opened with Volume above average - Volume closed bar color must match the closed price color (bullish/bearish direction) + Volume bar must be closed above volume MA line). --------------------------------------------------------------------------- =========================================================================== ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| TP System - VERY IMPORTANT INFO! ------------------------------------------------------------------------------------------------------------------- "TP PERCENTAGE" - amount by which current trade/position needs to be reduced/partially closed/sold. ------------------------------------------------------------------------------------------------------------------- TP System: Dynamic "TP PERCENTAGE" - will always be the same amount (trade/position size divided by the # of take-profit(TP) targets) and percentage to be closed will always be of the ORIGINAL trade/position. ------------------------------------------------------------------------------------------------------------------- TP System: Static "TP PERCENTAGE" - will always be the same amount IF take-profit(TP) targets are hit 1-by-1 (TP1 > TP2 > TP3 > TP4 > TP5), otherwise it will vary and unless it is a 1st take-profit(TP1), the REMAINING trade/position size will always be smaller than original and therefore the percentage to be closed will always be of the REMAINING trade/position and NOT the original one! ------------------------------------------------------------------------------------------------------------------- "TP PERCENTAGE" CheatSheet (these are the only percentages you may see) ----------------------------------------------------------------------- TP PERCENTAGE---Close/Sell Amount-------------Example (trade size: 50 stocks) 20%-------------trade size * 0.2--------------50 * 0.2 = 10 stocks 25%-------------trade size * 0.25-------------50 * 0.25 = 12.5(~13) stocks 34%-------------trade size * 0.34-------------50 * 0.34 = 17 stocks 40%-------------trade size * 0.4--------------50 * 0.4 = 20 stocks 50%-------------trade size * 0.5--------------50 * 0.5 = 25 stocks 60%-------------trade size * 0.6--------------50 * 0.6 = 30 stocks 66%-------------trade size * 0.66-------------50 * 0.66 = 33 stocks 75%-------------trade size * 0.75-------------50 * 0.75 = 37.5(~38) stocks 80%-------------trade size * 0.8--------------50 * 0.8 = 40 stocks 100%------------trade size--------------------50 = 50 stocks ----------------------------------------------------------------------- If for any reason a portion of the current/remaining trade closed at such occurrence was slightly wrong, it is not an issue. Such occurrences are rare and with slight difference in partial TP closed is not significant to overall performance of our algorithms. ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| *** ||||||||||||||||||||||||||||||||||| =========================================================================== Alert Settings (you don’t have to touch this section unless you will be using TradingView alerts through a Webhook to use with trading bot) --------------------------------------------------------------------------- Here is how a LONG OPEN alert looks like. NOTE: Each label , , etc. is customizable, you can change the text of it within indicator Input settings. ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> COIN: BTCUSD TIMEFRAME: 15M LONG: OPEN ENTRY: 20000 TP1: 20500 TP2: 21000 TP3: 21500 TP4: 22500 TP5: 23500 SL: 19000 Leverage: 0 --------------------------------------------------------------------------- Here is how a TP1 alert will look with 5 TPs breakdown of the trade. NOTE1: Next to TP1 taken it will show at which price it was triggered. NOTE2: Next to "TP Percentage" it shows how much of the CURRENT/ACTIVE/REMAINING trade needs to be closed. NOTE2: If TP2/3/4/5 comes before TP1 - the alert will tell you exactly how many percent of the trade needs to be closed! ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> COIN: BTCUSD TIMEFRAME: 15M LONG: TP1 TP1: 20500 TP Percentage: 20% --------------------------------------------------------------------------- Here is how an alert will look for LONG - STOP-LOSS. ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> COIN: BTCUSD TIMEFRAME: 15M ENTRY: 20000 LONG: SL SL: 19000 --------------------------------------------------------------------------- Here is how an alert will look for LONG - EOD (End of Day) In Profit close. ALERT >>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> COIN: BTCUSD TIMEFRAME: 15M LONG: EOD-Close (profit) ENTRY: 20000 EOD-Close: 21900 =========================================================================== Adding Alerts in TradngView --------------------------------------------------------------------------- -Add indicator to chart and make sure the correct strategy is configured (check Backtesting results) -Right-click anywhere on the TradingView chart -Click on Add alert -Condition: Select this indicator by it’s name -Immediately below, change it to "alert() function calls only", as other wise there will be 2 alerts for every alert! -Expiration: Open-ended (that may require higher tier TradingView account, otherwise the alert will need to be occasionally re-triggered) -Alert name: Whatever you desire -Hit “Create” -Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings! =========================================================================== If you have any questions or issues with the indicator, please message me directly via TradingView. --------------------------------------------------------------------------- Good Luck! (NOTE: Trading is very risky, past performance is not necessarily indicative of future results, so please trade responsibly!) --------------------------------------------------------------------------- NOTE: There seems to be a strange glitch when strategy is running live, it will show "double-take" take-profits labels on the chart. This is not affecting the script logic and backtesting results, if you simply change the timeframe real quick to something else then back - it will no longer show the duplicate orders... this must be some sort of a glitch as every alert was thoroughly tested to make sure everything is working!
Pine Script® strategy
by tso_trade
2
888 BOT #backtest█ 888 BOT #backtest This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade. It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode. Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage. It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following: 1. Jurik Moving Average It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA, DEMA, AMA or T3. There are two ways to decrease noise using JMA. Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag' The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost. Green: Bullish, Red: Bearish. 2. Range filter Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term. First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'. The filter is then calculated by adjusting price movements that do not exceed the specified range. Finally, the target ranges are plotted to show the prices that will trigger the filter movement. Green: Bullish, Red: Bearish. 3. Average Directional Index (ADX Classic) and (ADX Masanakamura) It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'. The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold. The red color of the bars indicates that the trend is down and that the ADX is above the threshold level. The orange color of the bars indicates that the price is not strong and will surely lateralize. You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation. 4. Parabolic SAR This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns (SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend. 5. RSI with Volume This indicator was created by LazyBear from the popular RSI. The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices. LazyBear added a volume parameter that makes it more accurate to the market movement. A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish. 6. Moving Average Convergence Divergence (MACD) and (MAC-Z) It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals. We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line. There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP (volume weighted average price) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation. 7. Volume Condition Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement. With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume, the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line. The maximum leverage is 8. 8. Bollinger Bands This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph. The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average) The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average) The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average. the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance. In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing. Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit. █ STOP LOSS and RISK MANAGEMENT. A good risk management is what can make your equity go up or be liquidated. The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%. % Risk: (% Stop Loss x % Equity per trade x Leverage) / 100 First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa. In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED' 'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state. █ BACKTEST The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as: - RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown. - PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5. - SHARPE: (Return system - Return without risk) / Deviation of returns. When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters. - MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss). To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0 The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well. PARAMETERS 'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest. 'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars. 'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section. 'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition. The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 30 minutes. For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing. █ 888 BOT (SPANISH) Este es un Expert Advisor 'EA' o script de trading automatizado para ‘longs’ y ‘shorts’, el cual, utiliza solo un Take Profit o, en el peor de los casos, un Stop Loss para cerrar el trade. Es una versión muy mejorada del anterior ‘Repanocha’. No utiliza ‘Trailing Stop’, ni funciones ‘security()’ (aunque usar una función security no significa que el script repinte) y todas las señales son confirmadas, por consiguiente, el script no repinta en modo alertas y es preciso en en el modo backtest. Aparte de los anteriores indicadores se han añadido algunos más y otras funciones para Stop-Loss, de re-entrada y apalancamiento. Utiliza 8 indicadores, (muchos ya sabéis sobradamente lo que son, pero por si hay alguien nuevo), son los siguientes: 1. Jurik Moving Average Es una media móvil creada por Mark Jurik para profesionales la cual elimina el ‘lag’ o retardo de la señal. Es mejor que otras medias móviles como la EMA, DEMA, AMA o T3. Hay dos formas de disminuir el ruido utilizando JMA. El aumento del parámetro 'LENGTH' hará que JMA se mueva más lentamente y, por lo tanto, reducirá el ruido a expensas de añadir ‘lag’ Los parámetros 'JMA LENGTH', 'PHASE' y 'POWER' ofrecen una forma de seleccionar el equilibrio óptimo entre ‘lag’ y sobre impulso. Verde : Alcista, Rojo: Bajista. 2. Range filter Creado por Donovan Wall, su función es la de filtrar o eliminar el ruido y poder determinar mejor la tendencia del precio a corto plazo. Primero, se calcula un rango de precio promedio uniforme 'SAMPLING PERIOD' para la base del filtro y se multiplica por una cantidad específica 'RANGE MULTIPLIER'. A continuación, el filtro se calcula ajustando los movimientos de precios que no exceden el rango especificado. Por último, los rangos objetivo se trazan para mostrar los precios que activarán el movimiento del filtro. Verde : Alcista, Rojo: Bajista. 3. Average Directional Index (ADX Classic) y (ADX Masanakamura) Es un indicador diseñado por Welles Wilder para medir la fuerza y dirección de la tendencia del mercado. El movimiento del precio tiene fuerza cuando el ADX tiene pendiente positiva y está por encima de cierto nivel mínimo 'ADX THRESHOLD' y para un periodo dado 'ADX LENGTH'. El color verde de las barras indica que la tendencia es alcista y que el ADX está por encima del nivel establecido por el threshold. El color Rojo de las barras indica que la tendencia es bajista y que el ADX está por encima del nivel de threshold. El color naranja de las barras indica que el precio no tiene fuerza y seguramente lateralizará. Se puede elegir entre la opción clásica y la creada por un tal 'Masanakamura'. La diferencia principal entre los dos es que en el primero utiliza RMA() y en el segundo SMA() en su cálculo. 4. Parabolic SAR Este indicador, creado también por Welles Wilder, coloca puntos que ayudan a definir una tendencia. El Parabolic SAR puede seguir al precio por encima o por debajo, la particularidad que ofrece es que cuando el precio toca al indicador, este salta al otro lado del precio (si el Parabolic SAR estaba por debajo del precio salta arriba y viceversa) a una distancia predeterminada por el indicador. En este momento el indicador vuelve a seguir al precio, reduciendo la distancia con cada vela hasta que finalmente es tocado otra vez por el precio y se vuelve a iniciar el proceso. Este procedimiento explica el nombre del indicador: el Parabolic SAR va siguiendo al precio generando una característica forma parabólica, cuando el precio lo toca, se para y da la vuelta (SAR son las siglas en inglés de ‘stop and reverse’), dando lugar a un nuevo ciclo. Cuando los puntos están por debajo del precio, la tendencia es alcista, mientras que los puntos por encima del precio indica una tendencia bajista. 5. RSI with Volume Este indicador lo creo un tal LazyBear de TV a partir del popular RSI. El RSI es un indicador tipo oscilador utilizado en análisis técnico y creado también por Welles Wilder que muestra la fuerza del precio mediante la comparación de los movimientos individuales al alza o a la baja de los sucesivos precios de cierre. LazyBear le añadió un parámetro de volumen que lo hace más preciso al movimiento del mercado. Una buena forma de usar el RSI es teniendo en cuenta la línea central de 50 'RSI CENTER LINE'. Cuando el oscilador está por encima, la tendencia es alcista y cuando está por debajo la tendencia es bajista. 6. Moving Average Convergence Divergence (MACD) y (MAC-Z) Fue creado por Gerald Appel. Posteriormente se añadió el histograma para anticipar el cruce de medias. A grandes rasgos podemos decir que el MACD es un oscilador consistente en dos medias móviles que van girando en torno a la línea de cero. La línea del MACD no es más que la diferencia entre una media móvil corta 'MACD FAST MA LENGTH' y una media móvil larga 'MACD SLOW MA LENGTH'. Es un indicador que nos permite tener una referencia sobre la tendencia del activo sobre el cual se está operando, generando de este modo señales de entrada y salida del mercado. Podemos hablar de mercado alcista cuando el histograma del MACD se sitúe por encima de la línea cero, junto con la línea de señal, mientras que hablaremos de mercado bajista cuando el histograma MACD se situará por debajo de la línea cero. Está la opción de utilizar el indicador MAC-Z creado por LazyBear que según su autor es más eficaz, por utilizar el parámetro VWAP (precio medio ponderado por volumen) 'Z-VWAP LENGTH' junto con una desviación standard 'STDEV LENGTH' en su cálculo. 7. Volume Condition El volumen indica el número de participantes en esta guerra entre toros y osos, cuanto más volumen más probabilidad de que se mueva el precio a favor de la tendencia. Un volumen bajo de negociación indica un menor número de participantes e interés por el instrumento en cuestión. Los bajos volúmenes pueden revelar debilidad detrás de un movimiento de precios. Con esta condición se filtran aquellas señales cuyo volumen es inferior a la SMA de volumen para un periodo 'SMA VOLUME LENGTH' multiplicado por un factor 'VOLUME FACTOR'. Además, determina el apalancamiento utilizado, a más volumen, más participantes, más probabilidad de que se mueva el precio a nuestro favor, es decir, podemos utilizar más apalancamiento. El apalancamiento en este script lo determina las veces que está el volumen por encima de la línea de la SMA. El apalancamiento máximo es de 8. 8. Bollinger Bands Este indicador fue creado por John Bollinger y consiste en tres bandas que se dibujan superpuestas al gráfico de evolución del precio. La banda central es una media móvil, normalmente se emplea una media móvil simple calculada con 20 períodos. ('BB LENGTH' Número de periodos de la media móvil) La banda superior se calcula sumando al valor de la media móvil simple X veces la desviación típica de la media móvil. ('BB MULTIPLIER' Número de veces la desviación típica de la media móvil) La banda inferior de calcula restando a la media móvil simple X veces la desviación típica de la media móvil. la franja comprendida entre las bandas superior e inferior contiene, estadísticamente, casi un 90% de las posibles variaciones del precio, lo que significa que cualquier movimiento del precio fuera de las bandas tiene especial relevancia. En términos prácticos, las bandas de Bollinger se comporta como si de una banda elástica se tratara de manera que, si el precio las toca, éste tiene mucha probabilidad de rebotar. En ocasiones, después de rellenarse la orden de entrada, el precio se devuelve hacia el lado contrario. Si toca la banda de Bollinger se rellena otra orden en la misma dirección de la posición para mejorar el precio medio de entrada, (% MINIMUM BETTER PRICE': Precio mínimo para que se ejecute la re-entrada y que sea mejor que el precio de la posición anterior en un % dado) de esta manera damos una oportunidad al trade de que el Take Profit se ejecute antes. La desventaja es que se dobla el tamaño de la posición. 'ACTIVATE DIVIDE TP': Divide el tamaño del TP a la mitad. Más probabilidad de que se cierre el trade pero menos ganancias. █ STOP LOSS y RISK MANAGEMENT. Una buena gestión de las pérdidas o gestión del riesgo es lo que puede hacer que tu cuenta suba o se liquide en poco tiempo. El % de riesgo es el porcentaje de nuestro capital que estamos dispuestos a perder por operación. Este se aconseja que debe estar comprendido entre un 1-5%. % Risk = (% Stop Loss x % Equity per trade x Leverage) / 100 Primero se calcula la estrategia con Stop Loss, después se determina el riesgo por operación y a partir de ahí se calcula el monto por operación y no al revés. En este script puedes usar un Stop Loss normal o uno según el ATR. También activar la opción de que salte antes si se alcanza el porcentaje de riesgo. '% RISK ALLOWED' 'STOP LOSS CONFIRMED': Solamente se activa el Stop Loss si el cierre de la barra anterior se encuentra en la condición de límite de pérdidas. Es útil para evitar que se dispare el SL cuando hacen un ‘pump’ para barrer Stops y luego se devuelve el precio a la normalidad. █ BACKTEST El objetivo del Backtest es evaluar la eficacia de nuestra estrategia. Un buen Backtest lo determinan algunos parámetros como son: - RECOVERY FACTOR: Consiste en dividir el ‘beneficio neto’ entre el ‘drawdown’. Un excelente sistema de trading tiene un recovery factor de 10 o más; es decir, genera 10 veces más beneficio neto que drawdown. - PROFIT FACTOR: El ‘Profit Factor’ es otra medida popular del rendimiento de un sistema. Es algo tan simple como dividir lo que ganan las operaciones con ganancias entre lo que pierden las operaciones con pérdidas. Si la estrategia es rentable entonces por definición el ‘Profit Factor’ va a ser mayor que 1. Las estrategias que no son rentables producen factores de beneficio menores que uno. Un buen sistema tiene un profit factor de 2 o más. Lo bueno del ‘Profit Factor’ es que nos dice lo que vamos a ganar por cada dolar que perdemos. Un profit factor de 2.5 nos dice que por cada dolar que perdamos operando vamos a ganar 2.5. - SHARPE: (Retorno sistema – Retorno sin riesgo) / Desviación de los retornos. Cuando las variaciones de ganancias y pérdidas son muy altas, la desviación es muy elevada y eso conlleva un ratio de ‘Sharpe’ muy pobre. Si las operaciones están muy cerca de la media (poca desviación) el resultado es un ratio de ‘Sharpe’ bastante elevado. Si una estrategia tiene un ratio de ‘Sharpe’ mayor que 1 es una buena estrategia. Si tiene un ratio de ‘Sharpe’ mayor que 2, es excelente. Si tiene un ratio de ‘Sharpe’ menor que 1 entonces no sabemos si es buena o mala, hay que mirar otros parámetros. - MATHEMATICAL EXPECTATION:(% operaciones ganadoras X ganancia media) + (% operaciones perdedoras X pérdida media). Para ganar dinero con un sistema de Trading, no es necesario ganar todas las operaciones, lo verdaderamente importante es el resultado final de la operativa. Un sistema de Trading tiene que tener esperanza matemática positiva como es el caso de este script. El juego de la ruleta, por ejemplo, tiene esperanza matemática negativa para el jugador, puede tener rachas positivas de ganancias, pero a la larga, si se sigue jugando se acabará perdiendo, y esto los casinos lo saben muy bien. PARAMETROS 'BACKTEST DAYS': Número de días atrás de datos históricos para el calculo del Backtest. 'ENTRY TYPE': Para % EQUITY si tienes 10000$ de capital y seleccionas 7.5% tu entrada sería de 750$ sin apalancamiento. Si seleccionas CONTRACTS para el par BTCUSDT sería la cantidad en Bitcoins y si seleccionas CASH sería la cantidad en dólares. 'QUANTITY (LEVERAGE 1X)': La cantidad para una entrada con apalancamiento X! según el apartado anterior. 'MAXIMUM LEVERAGE': Es el máximo multiplicador permitido de la cantidad introducida en el apartado anterior según la condición de volumen. Los settings son para Bitcoin en Binance Futures (BTC:USDTPERP) en 30 minutos. Para otro pares y otras temporalidades se tienen que ajustar las opciones de nuevo. Además para dentro de un mes, los ajustes serán otros distintos ya que el mercado y la tendencia es cambiante.
Pine Script® strategy
by UnknownUnicorn2151907
12
Rbpov1 – Opening Range Multi-Actifs Final📌 Strategy Bio – Rbpov1 Opening Range Pro 🎯 Core Concept The Rbpov1 Opening Range Pro is an advanced algorithmic trading system built around the opening range breakout concept. It is based on the observation that, after a period of consolidation (the opening range), markets often generate strong directional moves once the range is broken. This strategy is designed to be multi-asset (Forex, indices, commodities, crypto) and multi-timeframe, with the following key principles: A reference range (default: 03:00 → 06:00 UTC+2, customizable). Trade entries are taken only after the range closes. Smart filtering (trend, volatility, volume) to reduce false signals. Strict risk management in USD, with Stop Loss and Take Profit defined in multiples of R. Automatic end-of-day flat rule: all positions are closed by session end. ⚙️ Filters & Conditions 🔹 1. Trend Filter (EMA HTF) A 21-period EMA is applied to a higher timeframe (default: H4). If price is above EMA, only longs are allowed. If price is below EMA, only shorts are allowed. 👉 This aligns intraday trades with the dominant trend. 🔹 2. Volatility Filter (ATR) Uses a 14-period ATR to validate range conditions. Opening range is valid only if: Range > minATR × ATR Range < maxATR × ATR Default: minATR = 0.2, maxATR = 6.0. 👉 Filters out noise (tiny ranges) or overextended volatility. 🔹 3. Volume Filter (Optional) Breakout candle must show higher volume than the average (default SMA 20). Prevents low-liquidity breakouts. 🔹 4. Session & Trading Rules No trades during weekends (Forex). Maximum X trades per day (default: 2). Positions are force-closed at EOD (default: 19:00 UTC+2). 💰 Risk Management Dynamic position sizing in USD (capital × risk%). Stop Loss automatically set at the opposite side of the range (with optional buffer). Take Profit in multiples of R (default: 1.5R). Equity-based recalculation ensures consistency as account grows. 📊 Key Benefits ✅ Professional and modular architecture. ✅ Works across Forex, indices, gold, and crypto. ✅ Smart filtering for cleaner signals. ✅ Robust and consistent risk management. ✅ Automatic end-of-day flattening (no overnight risk). ✅ Modern and visual dashboard interface for readability. 🏆 Use Cases Forex (USD/JPY, EUR/USD, GBP/USD) → Asian session ranges. Indices (NAS100, US30, DAX) → NYSE opening ranges. Gold (XAU/USD) → Tokyo or pre-London ranges. Crypto (BTC, ETH) → Tailored to volatility peaks.
Pine Script® strategy
by LePotDeFleur
Morning Straddle Backtest + Range Filter Morning Straddle Backtest Purpose: This script tests a Morning Straddle concept where a trader enters both long and short breakout orders based on the overnight range (22:00–06:00 by default). It is designed for backtesting the effectiveness of volatility breakouts following low-volume overnight sessions. Setup Overnight session: 22:00–06:00 (adjustable). At the end of the overnight session, the script automatically places: A long stop order above the range high. A short stop order below the range low. Both use an ATR-based buffer for cleaner breakouts (default 5%). When one side triggers, the opposite order is cancelled if OCO mode is active. Adjustable Parameters - Session - Defines the overnight hours used for the range. - ATR Length - Number of bars used for ATR calculation. - ATR Buffer % - Distance above/below range for entry & stop placement. - Risk:Reward Ratio - Determines the TP distance relative to SL. - Stop-Loss - Choose between “Behind Range” or “Mid-Range (50%)” with ATR buffer added. - OCO - Cancels opposite order once one side triggers. - Close All EOD - Closes all open trades at the end of day (default 22:00). - Range Filter – Enables filtering of trades only when the overnight range size falls within a defined threshold. -Min Range / Max Range – Define acceptable range size boundaries. -Display Units – Select whether the filter is measured in Price Change, Pips, or Points. - Stats Panel Settings – Toggle visibility, position (Top/Bottom Left/Right), and background opacity. Visual The overnight range (22:00–06:00) is highlighted on the chart with a teal background for clarity. No lines are drawn for the high and low. Strategy Notes Works best on 5m or 15m charts where the overnight range can be clearly defined. Backtests should be run over multiple months to gauge performance consistency. Can be adapted for other markets by adjusting session times and ATR settings. For example, S&P initial balance breakout using 14:30-15:30 range time. Stats Panel Displays - 20-Day Range Data: Maximum, Average, and Minimum range sizes. - Today’s Range: With automatic classification — Huge, Normal, or Small. - Average Winning Range: Average size of the overnight range on profitable days. - Average Losing Range: Average size of the overnight range on losing days. - Filter Status: Displays whether the range met the filter criteria — Range OK, Skipped, or Off.
Pine Script® strategy
by ElGore18
Candle Range Theory StrategyCandle Range Theory StrategyCandle Range Theory Strategy delves into the intricacies of price action analysis, focusing on the behavior of candlestick patterns within specific ranges. Traders employing this strategy aim to identify key support and resistance levels by analyzing the high and low points of significant candlesticks. The core principle lies in understanding that the range of a candle—defined by its opening, closing, high, and low prices—provides valuable insight into market sentiment and potential future movements. To implement the Candle Range Theory Strategy effectively, one must first recognize the importance of different candle sizes. A long-bodied candle suggests strong momentum, pointing to a bullish or bearish bias, while a small-bodied candle indicates indecision or consolidation, often signaling potential reversals or breakouts. By plotting these candlesticks over a defined time frame, traders can ascertain whether the market is trending or range-bound. Additionally, traders should consider the context in which these candles form. Analysis of the preceding price action can reveal whether current ranges are extensions of existing trends or indications of market fatigue. In particular, look for patterns such as engulfing candles, pin bars, or inside bars, as they often foreshadow forthcoming price fluctuations. Moreover, combining the Candle Range Theory with other technical indicators, like moving averages or Fibonacci retracements, can offer a more comprehensive view of potential entry and exit points. By aligning candle patterns with broader market dynamics, traders can optimize their strategies, enhancing their probability of success while minimizing risk. Lastly, maintaining a disciplined approach is crucial. Setting precise stop-loss and take-profit levels grounded in candle ranges can safeguard one's capital. Adhering to this framework allows traders to navigate the complexities of the market with greater confidence, ultimately leading to more informed and successful trading decisions. Embracing the nuances of Candle Range Theory not only sharpens analytical skills but also enriches one’s trading repertoire, paving the way for sustained profitability in the dynamic world of forex and equities.
Pine Script® strategy
by princeZtrader999
4-Hour Range Scalping [v6.3]User Guide: 4-Hour Range Scalping Strategy Hello! Here is the guide for the Pine Script strategy. Please read it carefully to get the best results. 📈 This script automates the "4-Hour Range Scalping Strategy" from the video. The main idea is that the first four hours of a major trading day (like New York) set up a "trap zone." The strategy waits for the price to break out of this zone and then fail, giving us a signal that the breakout was false and the price is likely to reverse. Here’s the simple logic: Define the Range: It precisely calculates the highest high and lowest low during the first four hours of the selected trading session (e.g., 00:00 to 04:00 New York Time). Wait for a Breakout: It then monitors the 5-minute chart for a price breakout where a candle fully closes outside of this established range. Identify the Reversal: The trade trigger occurs when the price fails to continue its breakout and a subsequent 5-minute candle closes back inside the range. This signals a potential reversal or "failed breakout." Execute the Trade: ]A Short (Sell) trade is triggered after a failed breakout above the range high. A Long (Buy) trade is triggered after a failed breakout below the range low. Manage the Risk: The Stop Loss is automatically placed at the peak (for shorts) or trough (for longs) of the breakout move, and the Take Profit is set to a default 2:1 Risk/Reward Ratio. How to Use the Script (Step-by-Step) ⚙️ Follow these instructions to get it running perfectly. 1. Set Your Chart Timeframe This is the most important step. The strategy is designed to run on a 5-minute (5m) chart. Open your TradingView chart and make sure the timeframe is set to "5m". 2. Add the Script to Your Chart Open the Pine Editor tab at the bottom of TradingView, paste the entire script, and click the "Add to chart" button. 3. Configure the Settings On your chart, find the strategy's name (e.g., "4-Hour Range Scalping ") and click the gear icon ⚙️ to open its settings. Trading Session: Choose the session for the range. New York is the default and the one from the video. Risk/Reward Ratio: The default is 2.0, meaning your potential profit is twice your potential loss. You can adjust this to test other targets. Backtesting Period: To see how the strategy performed on all historical data, go to the "Strategy Tester" panel, click its own gear icon ⚙️, and uncheck the boxes for "Start Date" and "End Date." 4. Understand the Visuals on Your Chart Blue Background Area: This is the 4-hour calculation window. The script is identifying the day's high and low during this time. No trades will ever happen here. Red Line (Range High): The highest price of the 4-hour window. This is the upper boundary of the "trap zone." Green Line (Range Low): The lowest price of the 4-hour window. This is the lower boundary. Green Triangle (▲): Shows where a Long (Buy) trade was entered. Red Triangle (▼): Shows where a Short (Sell) trade was entered. A Very Important Note on Timezones 🕒 This is critical for you in the Philippines (PHT). The script is based on the New York session, which is 12 hours behind you. Your TradingView chart will still show your local time, but the script works on NY time in the background. The New York "day" begins at 12:00 PM (Noon) your time. The script's blue calculation window will be from 12:00 PM to 4:00 PM your local time. The red and green range lines will appear on your chart only after 4:00 PM your time. So, if you look at your chart in the morning or early afternoon, you will not see today's range yet. This is normal! The script is just waiting for the New York session to start. How to Set Up Trade Alerts 🔔 You can have TradingView send you a notification whenever the script enters a trade. Click the "Alert" button (looks like a clock) in the right-hand toolbar of TradingView. In the "Condition" dropdown, select the name of the script (e.g., "4-Hour Range Scalping..."). You will then see two options: "Long Signal" and "Short Signal". Select one (e.g., "Long Signal") and configure how you want to be notified (e.g., "Notify on app"). Click "Create". Repeat the process to create an alert for the other signal. ⚠️ Important Disclosure For Educational and Research Purposes Only. This script and all accompanying information are provided for educational and research purposes only. The strategy demonstrated is a technical concept and should not be misconstrued as financial, investment, legal, or tax advice. Trading financial markets involves substantial risk and is not suitable for every investor. There is a possibility that you could sustain a loss of some or all of your initial investment. Therefore, you should not invest money that you cannot afford to lose. Past performance is not indicative of future results. The backtesting results shown by this script are historical and do not guarantee future performance. Market conditions are constantly changing. By using this script, you acknowledge that you are solely responsible for any and all trading decisions you make. You should conduct your own thorough research and, if necessary, seek advice from an independent financial advisor before making any investment decisions. The creators of this script assume no liability for any of your trading results.
Pine Script® strategy
by edisonquinones
EMA Crossover Cloud w/Range-Bound FilterA focused 1-minute EMA crossover trading strategy designed to identify high-probability momentum trades while filtering out low-volatility consolidation periods that typically result in whipsaw losses. Features intelligent range-bound detection and progressive market attention alerts to help traders manage focus and avoid overtrading during unfavorable conditions. Key Features: EMA Crossover Signals: 10/20 EMA crossovers with volume surge confirmation (1.3x 20-bar average) Range-Bound Filter: Automatically detects when price is consolidating in tight ranges (0.5% threshold) and blocks trading signals during these periods Progressive Consolidation Stages: Visual alerts progress through Range Bound (red) → Coiling (yellow) → Loading (orange) → Trending (green) to indicate market compression and potential breakout timing Market Attention Gauge: Helps manage focus between active trading and other activities with states: Active (watch close), Building (check frequently), Quiet (check occasionally), Dead (handle other business) Smart RSI Exits: Cloud-based and RSI extreme level exits with conservative stop losses Dual Mode Operation: Separate settings allow full backtesting performance while providing visual stay-out warnings for manual trading How to Use: Entry Signals: Trade aqua up-triangles (long) and orange down-triangles (short) when they appear with volume confirmation Stay-Out Warnings: Ignore gray "RANGE" triangles - these indicate crossovers during range-bound periods that should be avoided Monitor Top-Right Display: Range: Current 60-bar dollar range Attention: Market activity level for focus management Status: Consolidation stage (trade green/yellow, avoid red, prepare for orange) Position Sizing: Default 167 shares per signal, optimized for the crossover frequency Alerts: Enable consolidation stage alerts and market attention alerts for automated notifications Recommended Settings: Timeframe: 1-minute charts Symbol: Optimized for volatile stocks like TSLA "Apply Filter to Backtest": Keep OFF for realistic backtesting, ON to see filtered results Risk Management: The strategy includes built-in overtrading protection by identifying and blocking trades during low-volatility periods. The progressive consolidation alerts help identify when markets are "loading" for significant moves, allowing traders to position appropriately for higher-probability setups.
Pine Script® strategy
by KrispysGlass
888 BOT #backtest█ 888 BOT #backtest (open source) This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade. It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode. Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage. It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following: 1. Jurik Moving Average It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3. There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag' The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost. Green: Bullish , Red: Bearish . 2. Range filter Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term. First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'. The filter is then calculated by adjusting price movements that do not exceed the specified range. Finally, the target ranges are plotted to show the prices that will trigger the filter movement. Green: Bullish , Red: Bearish . 3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura) It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'. The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold. The red color of the bars indicates that the trend is down and that the ADX is above the threshold level. The orange color of the bars indicates that the price is not strong and will surely lateralize. You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation. 4. Parabolic SAR This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend. 5. RSI with Volume This indicator was created by LazyBear from the popular RSI . The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices. LazyBear added a volume parameter that makes it more accurate to the market movement. A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish . 6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z ) It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals. We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line. There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation. 7. Volume Condition Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement. With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line. The maximum leverage is 8. 8. Bollinger Bands This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph. The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average) The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average) The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average. the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance. In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing. Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit. █ STOP LOSS and RISK MANAGEMENT. A good risk management is what can make your equity go up or be liquidated. The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%. % Risk: (% Stop Loss x % Equity per trade x Leverage) / 100 First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa. In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED' 'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state. █ BACKTEST The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as: - RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown. - PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5. - SHARPE: (Return system - Return without risk) / Deviation of returns. When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters. - MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss). To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0 The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well. PARAMETERS 'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest. 'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars. 'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section. 'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition. The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes. For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
Pine Script® strategy
by UnknownUnicorn2151907
10
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets. 🎯 How It Works: The strategy defines a trading range at the beginning of the trading session based on a selected number of candles. It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close. It filters signals using the SuperTrend indicator for trend confirmation. It utilizes trading volume to filter out false breakouts. ⚡ Strategy Features 📈 Entry Points: Long: Candle close above the upper range boundary + SuperTrend confirmation Short: Candle close below the lower range boundary + SuperTrend confirmation 🛡️ Risk Management: Stop-Loss: Set at the opposite range boundary. Take-Profit: Calculated based on a risk/reward ratio (3:1 by default). Position Size: 10 contracts (configurable). ⚠️ IMPORTANT SETTINGS 🕐 Time Parameters: Set the correct time and time zone! ❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session. 📊 This strategy is optimized for trading TESLA stock! Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session. 📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant. ⚠️ For other assets, the following is required: Testing and parameter optimization Adjustment of time intervals and the number of candles forming the range Calibration of stop-loss and take-profit levels ⚠️ Limitations and Drawbacks 🔗 Automation Constraints: ❌ Cannot be directly connected via Webhook to CFD brokers! Additional IT solutions are required for automation, thus only manual trading based on signals is possible. 📉 Risk Management: Do not risk more than 2-3% of your account per trade. Test on historical data before live use. Start with a demo account. 💪 Strategy Advantages ✅ Combined approach – multiple signal filters ✅ Clear entry and exit rules ✅ Visual signals on the chart ✅ Volume-based false breakout filtering ✅ Automatic position management 🎯 Usage Recommendations Always test the strategy on historical data. Start with small trading volumes. Ensure time settings are correct. Adapt parameters to current market volatility. Use only for stocks – futures and Forex require adaptation. 📚 Suitable Timeframes - M1-M15 Only highly liquid stocks 🍀 I wish all subscribers good luck in trading and steady profits! 📈 May your charts move in the right direction! ⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Pine Script® strategy
by Script_Algo
4