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Noro's Trend MAs Strategy v2.3Don't use on pairs of type "crypto/crypto"! Only for pairs like "crypto/fiat" ("BTC/USD", "BTC/CNY", "ETH/USD", "ETH/CNY", etc) Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat - Good for "BTC/USD", "ETH/USD" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat") Extreme = true (if "crypto/fiat") In the new version 2.3 + Dates
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ROBO_Trading tarafından
1
Noro's Primitive Strategy v1.0It is calculated what long a candle body Average length of a body of a candle, for the last 30 candles is calculated If the candle red and a body of a candle is more average / 2 - to open long (and to close short) If long is open, a body of a candle is more average / 2, the candle green and a position is profitable - to close long If the candle green and a body of a candle is more average / 2 - to open short (and to close long) If it is open short, a body of a candle is more average / 2, the candle red and a position is profitable - to close short
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ROBO_Trading tarafından
14
Noro's ColorBar Strategy v1.0It is calculated what long a candle body Average length of a body of a candle, for the last 30 candles is calculated If the candle red and a body of a candle is more average - to open long (and to close short) If long is open, the candle green and a position is profitable - to close long If the candle green and a body of a candle is more average - to open short (and to close long) If it is open short, the candle red and a position is profitable - to close short
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ROBO_Trading tarafından
1
Noro's Trend MAs Strategy v2.0Don't use on pairs of type "crypto/crypto"! Only for pairs like "crypto/fiat" ("BTC/USD", "BTC/CNY", "ETH/USD", "ETH/CNY", etc) Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat - Good for "BTC/USD", "ETH/USD" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any OHLC4 = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat") Extreme = true (if "crypto/fiat") In the new version 2.0 - CryptoBottom is added
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ROBO_Trading tarafından
23
Noro's Trend MAs Strategy v1.9 ExtremeExtreme version of Noro's Trend MAs strategy. Don't use on pairs of type "crypto/crypto"! Only for pairs like "crypto/fiat" ("BTC/USD", "BTC/CNY", "ETH/USD", "ETH/CNY", etc) Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat - Good for "BTC/USD", "ETH/USD" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any OHLC4 = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat") Extreme = true (if "crypto/fiat") In the new version 1.9 - Extreme is added
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ROBO_Trading tarafından
2
Noro's Trend MAs Strategy v1.8Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat or crypto/crypto - Good for "BTC/USD", "ETH/USD", "ETH/BTC" Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any OHLC4 = any Use Fast MA = true Fast MA Period = 5 Slow MA Period = 21 Bars Q = (2 for "bitcoin/fiat" or 1 for "crypto/fiat" or 0 for "crypto/crypto") In the new version 1.8 - The second PriceChannel is added - Profit became more - Losses became less - The unnecessary types of MA are removed
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ROBO_Trading tarafından
Noro's Trend MAs Strategy v1.7Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Stops = false Stop, % = any Type of slow MA = 7 (only for Crypto/Fiat) Source of slow MA = close or OHLC4 Use Fast MA = true Fast MA Period = 5 Slow MA Period = 20 Bars Q = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat") In the new version 1.7 + stoporders + entry arrow (black) Types of slow MA: 1 = SMA = Simple Moving Average 2 = EMA = Exponential Moving Average 3 = VWMA = Volume-Weighted Moving Average 4 = DEMA = Double Exponential Moving Average 5 = TEMA = Triple Exponential Moving Average 6 = KAMA = Kaufman's Adaptive Moving Average 7 = Price Channel
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ROBO_Trading tarafından
Noro's Trend MAs Strategy v1.6Trade strategy which uses only 2 MA. The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Type of slow MA = 7 (only for Crypto/Fiat) Source of slow MA = close or OHLC4 Use Fast MA = true Fast MA Period = 5 Slow MA Period = 20 Bars Q = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat") In the new version 1.5 + Profit became more + Losses became less + Alerts + Background (lime = uptrend, red = downtrend) Types of slow MA: 1 = SMA = Simple Moving Average 2 = EMA = Exponential Moving Average 3 = VWMA = Volume-Weighted Moving Average 4 = DEMA = Double Exponential Moving Average 5 = TEMA = Triple Exponential Moving Average 6 = KAMA = Kaufman's Adaptive Moving Average 7 = Price Channel
Pine Script® stratejisi
ROBO_Trading tarafından
4
Noro's Trend MAs Strategy 1.5Trade strategy which uses only 2 MA . The slow MA (blue) is used for definition of a trend The fast MA (red) is used for an entrance to the transaction For: - For H1 - For crypto/fiat Recomended: Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Type of slow MA = 7 (only for Crypto/Fiat) Source of slow MA = clole or OHLC4 Use Fast MA = true Fast MA Period = 5 Slow MA Period = 20 Bars Q = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat") In the new version 1.5 + Source + Types of slow MA Types of slow MA: 1 = SMA = Simple Moving Average 2 = EMA = Exponential Moving Average 3 = VWMA = Volume-Weighted Moving Average 4 = DEMA = Double Exponential Moving Average 5 = TEMA = Triple Exponential Moving Average 6 = KAMA = Kaufman's Adaptive Moving Average 7 = Price Channel PS: 100000000%, because of use of a piramiding have turned out
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ROBO_Trading tarafından
Noro's Trend SMA Strategy v1.4Trade strategy which uses only 2 SMA . The slow SMA (blue) is used for definition of a trend The fast SMA (red) is used for an entrance to the transaction Recomended: For H1 For crypto/fiat Long = true (if it is profitable as a result of backtests) Short = true (if it is profitable as a result of backtests) Use Fast SMA = true Fast SMA Period = 5 Slow SMA Period = 20 Bars = (2 for "BitCoin/Fiat" or 1 for "Fork/Fiat") In the new version 1.4 - Parameters are added Russian: Перевожу на понятный. В новой версии 1.4 ничего не поменялось в логике, работает так же. Но добавлены новые параметры, можно поэкспериментировать с настройками, убедиться как что выгоднее. Есть галка лонг и шорт. По умолчанию обе включены. Если убрать галку лонг, то исчезнут лонги вообще, если убрать шорт, то соответственно исчезнут шорты. По идее галку надо будет снимать если стратегия создает убыточные шорты, то их можно отключить. Смотреть в сводке показателей тестера стратегий профитны они или нет. По идее почти на всех парах крипто/фиат лучше ставить обе галки. Или убирайте галку шорт если не хотите шортить из религиозных соображений. Добавлена галка отключающая быструю SMA. То есть если галку убрать то стратегия будет её игнорировать. Таким образом, параметр Fast SMA (который 5) перестанет влиять на результаты. Однако, скорее всего без этой галки станет только хуже. Но можете проверить. Позволяет убедиться что входить в сделку по быстрой SMA в среднем немного профитнее, чем входить где попало. "Bars" - количество свечек одного цвета после после которых будет открываться сделка. По умолчанию 2. Можно от 0 до 3 ставить. Если 0 то цвет свечек игнорируется. Если 3, значит будет ждать 3 красных свечи подряд чтобы открыть лонг. Так же и с зелеными свечами для шорта. 2 - оптимально для пар типа биткойн/фиат. А для пар типа форк/фиат лучше ставить 1 свеча в параметре "Bars".
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ROBO_Trading tarafından
7
CCI Level Zero Strategy (by Marcoweb) v1.0Hi guys, My strategy is ready :) Finally the zero level of the CCI gives the start and stop to my positions. As you could notice, setting up the CCI length to 340 area on 1 minute chart will let the profit factor go up to 20% from an already wonderful 16%. This is a great result cause will let profitable trades run while stopping the wrong ones with a very limited loss. What makes our profit are not several small little positions that are clearly unrepitable in real trade but few and very profitable positions in which jumping in will be easier due to their length (71 bars average). Please share with me your impressions and suggestions. Have a nice trade :)
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Intuitrading tarafından
3
I_Heikin Ashi CandleWhen apply a strategy to Heikin Ashi Candle chart (HA candle), the strategy will use the open/close/high/low values of the Heikin Ashi candle to calculate the Profit and Loss, hence also affecting the Percent Profitable, Profit Factor, etc., often resulting a unrealistic high Percent Profitable and Profit Factor, which is misleading. But if you want to use the HA candle's values to calculate your indicator / strategy, but pass the normal candle's open/close/high/low values to the strategy to calculate the Profit / Loss, you can do this: 1) set up the main chart to be a normal candle chart 2) use this indicator script to plot a secondary window with indicator looks exactly like a HA-chart 3) to use the HA-candle's open/close/high/low value to calculate whatever indicator you want (you may need to create a separate script if you want to plot this indicator in a separate indicator window)
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samtsui tarafından
14
MACDouble + RSI (rec. 15min-2hr intrv) Uses two sets of MACD plus an RSI to either long or short. All three indicators trigger buy/sell as one (ie it's not 'IF MACD1 OR MACD2 OR RSI > 1 = buy", its more like "IF 1 AND 2 AND RSI=buy", all 3 match required for trigger) The MACD inputs should be tweaked depending on timeframe and what you are trading. If you are doing 1, 3, 5 min or real frequent trading then 21/44/20 and 32/66/29 or other high value MACDs should be considered. If you are doing longer intervals like 2, 3, 4hr then consider 9/19/9 and 21/44/20 for MACDs (experiment! I picked these example #s randomly). Ideal usage for the MACD sets is to have MACD2 inputs at around 1.5x, 2x, or 3x MACD1's inputs. Other settings to consider: try having fastlength1=macdlength1 and then (fastlength2 = macdlength2 - 2). Like 10/26/10 and 23/48/20. This seems to increase net profit since it is more likely to trigger before major price moves, but may decrease profitable trade %. Conversely, consider FL1=MCDL1 and FL2 = MCDL2 + (FL2 * 0.5). Example: 10/26/10 and 22/48/30 this can increase profitable trade %, though may cost some net profit. Feel free to message me with suggestions or questions.
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RyanMartin tarafından
6
SPY Master v1.0This is a simple swing trading algorithm that uses a fast RSI-EMA to trigger buy/cover signals and a slow RSI-EMA to trigger sell/short signals for SPY, an xchange-traded fund for the S&P 500. The idea behind this strategy follows the premise that most profitable momentum trades usually occur during periods when price is trending up or down. Periods of flat price actions are usually where most unprofitable trades occur. Because we cannot predict exactly when trending periods will occur, the algorithm basically bets money on all trade opportunities during all market conditions. Despite an accuracy rate of only 40%, the algorithm's asymmetric risk/reward profile allows the average winner to be 2x the average loser. The end result is a positive (profitable) net payout. TRADING RULES: Buy/Cover = EMA3(RSI2) cross> 50 Sell/Short = EMA5(RSI2) cross< 50 BACKTEST SETTINGS: - Period = March 2011 - Present - Initial capital = $10,000 - Dividends excluded - Trading costs excluded PERFORMANCE COMPARISON: There are 657 trades, which means 1,314 orders. Assuming each order costs $2 (what I pay for at Interactive Brokers), total trading costs should be $2,628. -SPY (buy & hold) = 132.73 ---> 193.22 = +45.57% (dividends excluded) -SPY Master v1.0 = $12,649 - $2,628 = $10,021 = +100.21% DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
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Stable_Camel tarafından
5
BACKTEST SCRIPT 0.999 ALPHATRADINGVIEW BACKTEST SCRIPT by Lionshare (c) 2015 THS IS A REAL ALTERNATIVE FOR LONG AWAITED TV NATIVE BACKTEST ENGINE. READY FOR USE JUST RIGHT NOW. For user provided trading strategy, executes the trades on pricedata history and continues to make it over live datafeed. Calculates and (plots on premise) the next performance statistics: profit - i.e. gross profit/loss. profit_max - maximum value of gross profit/loss. profit_per_trade - each trade's profit/loss. profit_per_stop_trade - profit/loss per "stop order" trade. profit_stop - gross profit/loss caused by stop orders. profit_stop_p - percentage of "stop orders" profit/loss in gross profit/loss. security_if_bought_back - size of security portfolio if bought back. trades_count_conseq_profit - consecutive gain from profitable series. trades_count_conseq_profit_max - maxmimum gain from consecutive profitable series achieved. trades_count_conseq_loss - same as for profit, but for loss. trades_count_conseq_loss_max - same as for profit, but for loss. trades_count_conseq_won - number of trades, that were won consecutively. trades_count_conseq_won_max - maximum number of trades, won consecutively. trades_count_conseq_lost - same as for won trades, but for lost. trades_count_conseq_lost_max - same as for won trades, but for lost. drawdown - difference between local equity highs and lows. profit_factor - profit-t-loss ratio. profit_factor_r - profit(without biggest winning trade)-to-loss ratio. recovery_factor - equity-to-drawdown ratio. expected_value - median gain value of all wins and loss. zscore - shows how much your seriality of consecutive wins/loss diverges from the one of normal distributed process. valued in sigmas. zscore of +3 or -3 sigmas means nonrandom realitonship of wins series-to-loss series. confidence_limit - the limit of confidence in zscore result. values under 0.95 are considered inconclusive. sharpe - sharpe ratio - shows the level of strategy stability. basically it is how the profit/loss is deviated around the expected value. sortino - the same as sharpe, but is calculated over the negative gains. k - Kelly criterion value, means the percentage of your portfolio, you can trade the scripted strategy for optimal risk management. k_margin - Kelly criterion recalculated to be meant as optimal margin value. DISCLAIMER : The SCRIPT is in ALPHA stage. So there could be some hidden bugs. Though the basic functionality seems to work fine. Initial documentation is not detailed. There could be english grammar mistakes also. NOW Working hard on optimizing the script. Seems, some heavier strategies (especially those using the multiple SECURITY functions) call TV processing power limitation errors. Docs are here: docs.google.com
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lionshare tarafından
61
CM Stochastic POP Method 1 - Jake Bernstein_V1A good friend ucsgears recently published a Stochastic Pop Indicator designed by Jake Bernstein with a modified version he found. I spoke to Jake this morning and asked if he had any updates to his Stochastic POP Trading Method. Attached is a PDF Jake published a while back (Please read for basic rules, which also Includes a New Method). I will release the Additional Method Tomorrow. Jake asked me to share that he has Updated this Method Recently. Now across all symbols he has found the Stochastic Values of 60 and 30 to be the most profitable. NOTE - This can be Significantly Optimized for certain Symbols/Markets. Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach how to create Trading Systems and how to Optimize the correct way. Below are a few Strategy Results....Soon You Will Be Able To Find Results Like This Yourself on TradingView.com BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005 Strategy 1: Go Long When Stochastic Crosses Above 60. Go Short When Stochastic Crosses Below 30. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value. Results: Total Trades = 164 Profit = 50, 126 Pips Win% = 38.4% Profit Factor = 1.35 Avg Trade = 306 Pips Profit ***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6 Strategy 2: Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule. Results: Total Trades = 164 Profit = 62, 876 Pips!!! Win% = 38.4% Profit Factor = 1.44 Avg Trade = 383 Pips Profit ***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6 Strategy 3: Rules - Proprietary Optimization Jake Will Teach. Only added 1 Additional Exit Rule. Results: Winning Percent Increases to 72.6%!!! , Same Amount of Trades. ***Most Consecutive Wins = 21 ...Most Consecutive Losses = 4 Indicator Includes: -Ability to Color Candles (CheckBox In Inputs Tab) Green = Long Trade Blue = No Trade Red = Short Trade -Color Coded Stochastic Line based on being Above/Below or In Between Entry Lines. Link To Jakes PDF with Rules dl.dropboxusercontent.com
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ChrisMoody tarafından
44
Vervoort Heiken Ashi Candlestick OscillatorHeiken-Ashi Candlestick Oscillator (HACO), by Sylvian Vervoort, is a digital oscillator version of the colored candlesticks. Explanation from Vervoort: "HACO is not meant to be an automatic trading system, so when there is a buy or sell signal from HACO, make sure it is confirmed by other TA techniques. HACO will certainly aid in signaling buy/sell opportunities and help you hold on to a trade, making it more profitable. The behavior of HACO is closely related to the level and speed of price change. It can be used on charts of any time frame ranging from intraday to monthly." HACO has 2 configurable length parameters - "UP TEMA length" and "Down TEMA length". Vervoort suggests having them the same value. I have also added an option to color the bars (overlay mode). More info: Trading with the Heiken-Ashi Candlestick Oscillator - Sylvian Vervoort List of my other indicators: - GDoc: docs.google.com - Chart:
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LazyBear tarafından
20
DEnvelope [Better Bollinger Bands]*** *** Bollinger Bands (BB) usually expand quickly after a volatility increase but contract more slowly as volatility declines. This extended time it takes for BB to contract after a volatility drop can make trading some instruments using BB alone difficult or less profitable. In the October 1998 issue of "Futures" there is an article written by Dennis McNicholl called "Better Bollinger Bands", in which the author recommends improving BB by modifying: - the center line formula & - different equations for calculating the bands. These bands, called "DEnvelope", follow price more closely and respond faster to changes in volatility with these modifications. Fore more indicators, check out my "Master Index of indicators" (Also check my published charts page for new ones I haven't added to that list): More scripts related to DEnvelope: ------------------------------------------------ - DEnvelope Bandwidth: pastebin.com - DEnvelope %B : pastebin.com Sample chart with above indicators: www.tradingview.com
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LazyBear tarafından
18
TitanGrid L/S SuperEngineTitanGrid L/S SuperEngine Experimental Trend-Aligned Grid Signal Engine for Long & Short Execution 🔹 Overview TitanGrid is an advanced, real-time signal engine built around a tactical grid structure. It manages Long and Short trades using trend-aligned entries, layered scaling, and partial exits. Unlike traditional strategy() -based scripts, TitanGrid runs as an indicator() , but includes its own full internal simulation engine. This allows it to track capital, equity, PnL, risk exposure, and trade performance bar-by-bar — effectively simulating a custom backtest, while remaining compatible with real-time alert-based execution systems. The concept was born from the fusion of two prior systems: Assassin’s Grid (grid-based execution and structure) + Super 8 (trend-filtering, smart capital logic), both developed under the AssassinsGrid framework. 🔹 Disclaimer This is an experimental tool intended for research, testing, and educational use. It does not provide guaranteed outcomes and should not be interpreted as financial advice. Use with demo or simulated accounts before considering live deployment. 🔹 Execution Logic Trend direction is filtered through a custom SuperTrend engine. Once confirmed: • Long entries trigger on pullbacks, exiting progressively as price moves up • Short entries trigger on rallies, exiting as price declines Grid levels are spaced by configurable percentage width, and entries scale dynamically. 🔹 Stop Loss Mechanism TitanGrid uses a dual-layer stop system: • A static stop per entry, placed at a fixed percentage distance matching the grid width • A trend reversal exit that closes the entire position if price crosses the SuperTrend in the opposite direction Stops are triggered once per cycle, ensuring predictable and capital-aware behavior. 🔹 Key Features • Dual-side grid logic (Long-only, Short-only, or Both) • SuperTrend filtering to enforce directional bias • Adjustable grid spacing, scaling, and sizing • Static and dynamic stop-loss logic • Partial exits and reset conditions • Webhook-ready alerts (browser-based automation compatible) • Internal simulation of equity, PnL, fees, and liquidation levels • Real-time dashboard for full transparency 🔹 Best Use Cases TitanGrid performs best in structured or mean-reverting environments. It is especially well-suited to assets with the behavioral profile of ETH — reactive, trend-intraday, and prone to clean pullback formations. While adaptable to multiple timeframes, it shows strongest performance on the 15-minute chart , offering a balance of signal frequency and directional clarity. 🔹 License Published under the Mozilla Public License 2.0 . You are free to study, adapt, and extend this script. 🔹 Panel Reference The real-time dashboard displays performance metrics, capital state, and position behavior: • Asset Type – Automatically detects the instrument class (e.g., Crypto, Stock, Forex) from symbol metadata • Equity – Total simulated capital: realized PnL + floating PnL + remaining cash • Available Cash – Capital not currently allocated to any position • Used Margin – Capital locked in open trades, based on position size and leverage • Net Profit – Realized gain/loss after commissions and fees • Raw Net Profit – Gross result before trading costs • Floating PnL – Unrealized profit or loss from active positions • ROI – Return on initial capital, including realized and floating PnL. Leverage directly impacts this metric, amplifying both gains and losses relative to account size. • Long/Short Size & Avg Price – Open position sizes and volume-weighted average entry prices • Leverage & Liquidation – Simulated effective leverage and projected liquidation level • Hold – Best-performing hold side (Long or Short) over the session • Hold Efficiency – Performance efficiency during holding phases, relative to capital used • Profit Factor – Ratio of gross profits to gross losses (realized) • Payoff Ratio – Average profit per win / average loss per loss • Win Rate – Percent of profitable closes (including partial exits) • Expectancy – Net average result per closed trade • Max Drawdown – Largest recorded drop in equity during the session • Commission Paid – Simulated trading costs: maker, taker, funding • Long / Short Trades – Count of entry signals per side • Time Trading – Number of bars spent in active positions • Volume / Month – Extrapolated 30-day trading volume estimate • Min Capital – Lowest equity level recorded during the session 🔹 Reference Ranges by Strategy Type Use the following metrics as reference depending on the trading style: Grid / Mean Reversion • Profit Factor: 1.2 – 2.0 • Payoff Ratio: 0.5 – 1.2 • Win Rate: 50% – 70% (based on partial exits) • Expectancy: 0.05% – 0.25% • Drawdown: Moderate to high • Commission Impact: High Trend-Following • Profit Factor: 1.5 – 3.0 • Payoff Ratio: 1.5 – 3.5 • Win Rate: 30% – 50% • Expectancy: 0.3% – 1.0% • Drawdown: Low to moderate Scalping / High-Frequency • Profit Factor: 1.1 – 1.6 • Payoff Ratio: 0.3 – 0.8 • Win Rate: 80% – 95% • Expectancy: 0.01% – 0.05% • Volume / Month: Very high Breakout Strategies • Profit Factor: 1.4 – 2.2 • Payoff Ratio: 1.2 – 2.0 • Win Rate: 35% – 60% • Expectancy: 0.2% – 0.6% • Drawdown: Can be sharp after failed breakouts 🔹 Note on Performance Simulation TitanGrid includes internal accounting of fees, slippage, and funding costs. While its logic is designed for precision and capital efficiency, performance is naturally affected by exchange commissions. In frictionless environments (e.g., zero-fee simulation), its high-frequency logic could — in theory — extract substantial micro-edges from the market. However, real-world conditions introduce limits, and all results should be interpreted accordingly.
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AssassinsGrid tarafından
3
Quad Rotation - StochasticThis Indicator is a step up from the Triad Rotation Indicator previously made, as it has 4 Stochastic signals rather then 3. It can be used mainly to identify potential reversal periods. If the Instrument becomes overbought, or oversold with all 4 stochastics a horizontal highlight will appear, either green or red. Green indicates the instrument is oversold, and may reverse soon, meaning you should take a buying positions, and red indicates an overbought position, where you may want to sell due to a reversal downward. Additionally, you can set an alarm if all 4 stochastic indicators signal overbought or oversold. This will help reduce your need to watch each instrument, and reduce the likelihood of overtrading. If you have comments regarding this indicator, if you found it helpful, or would like other improvements feel free to email me. If you are looking for other custom indicators, also feel free to email me. Email: thejak77@aol.com. This is an email rarely monitored, so please be patient, thank you! All the best, and stay profitable!
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EmberJaxx77 tarafından