Syntropy - System v4Syntropy System v4 – La Estrategia de Acumulación Profesional que Todos Están UsandoEDICIÓN LIMITADA – SOLO 10 PLAZAS DISPONIBLES EN TODO EL MUNDOPor primera (y única) vez, libero mi estrategia privada más potente:
La misma que uso personalmente y que ha cambiado por completo la forma en que acumulo en Bitcoin, Ethereum y altcoins de alto potencial.¿Qué incluye Syntropy v4?8 motores de entrada independientes (PG Solo, PG+FA, RZ1/RZ2, SFP, Liquidity Sweep, STE Bottom + reentradas inteligentes)
Piramidación hasta 20 niveles con control total de riesgo
Medias móviles dinámicas + proyecciones extendidas
Tabla en tiempo real con P&L total, capital invertido y operaciones abiertas/cerradas
Señales 100% visuales y sin repintado
Optimizada para cripto, pero funciona perfecto en forex y acciones
OFERTA EXCLUSIVA Y POR TIEMPO MUY LIMITADOPrecio normal: 499 USD (pago único de por vida + todas las futuras actualizaciones) PRECIO LANZAMIENTO SOLO PARA LOS PRIMEROS 10 COMPRADORES:
50 USD DE POR VIDA
(Sí, leíste bien: cincuenta dólares una sola vez y el indicador es tuyo para siempre)Una vez que se vendan las 10 primeras licencias, este precio desaparece para siempre y vuelve al valor real de 499 USD.Ya van 7/10 vendidas en las últimas horas…¿Quieres ser uno de los últimos 3 que se lleven Syntropy v4 a precio de lanzamiento?Envíame YA un mensaje privado con la palabra “SYNTROPY 50” y te mando el enlace de pago + acceso inmediato al script protegido.No hay prueba gratis esta vez porque a este precio es literalmente un regalo… pero sí te doy mi palabra: si en 30 días no estás 100% convencido de que es la mejor estrategia que has usado jamás, te devuelvo hasta el último centavo.Quedan muy pocas horas antes de que suba el precio para siempre.Los primeros 10 que escriban ahora se llevan el indicador de por vida por solo 50 USD.
El resto pagará 10 veces más.Tú decides si estás dentro del grupo élite o te quedas mirando desde afuera.Te espero del otro lado.Aviso importante (reglas de TradingView):
Este es un script privado de pago. No constituye asesoramiento financiero. Operar implica riesgo de pérdida de capital. Los resultados pasados no garantizan resultados futuros. Uso bajo tu propia responsabilidad.
Syntropy System v4 – The Most Powerful Accumulation Strategy Ever ReleasedWORLDWIDE LIMITED EDITION – ONLY 10 LIFETIME SEATSFor the first and last time ever, I’m opening my personal, private strategy that I use every single day to stack Bitcoin, Ethereum, Ethereum and high-conviction altcoins.What you get with Syntropy v48 independent & complementary entry engines (PG Solo, PG+FA, RZ1/RZ2, SFP, Liquidity Sweep, STE Bottom + smart reentries)
Up to 20 pyramiding levels with perfect risk scaling
Dynamic moving averages + extended visual projections
Real-time dashboard (total P&L, invested capital, open/closed trades)
100% visual, non-repainting signals
Built for crypto, but works flawlessly on forex and stocks too
INSANE LAUNCH PRICE – ONLY FOR THE FIRST 10 PEOPLENormal lifetime price: $499 (one-time payment + all future updates forever)LAUNCH PRICE – FIRST 10 BUYERS ONLY:
$50 USD LIFETIME
(Yes, you read that right: fifty dollars one time and the indicator is yours forever)Once these 10 licenses are gone, the price jumps permanently to $499 and will never come back down.7 out of 10 already sold in the last few hours…That leaves only 3 seats at this ridiculous price.Want to be one of the last 3 people on Earth to grab Syntropy v4 for $50 lifetime?Send me a private message RIGHT NOW with the words
“SYNTROPY 50”
and I’ll instantly send you the payment link + immediate access to the protected script.There is no free trial at this price (it would be insane), but I give you my personal word:
If within 30 days you’re not 100% blown away and convinced this is the best strategy you’ve ever used, I’ll refund every single penny — no questions asked.The clock is ticking. In a few hours this $50 offer disappears forever.The first 10 who message me now get lifetime access for only $50.
Everyone else will pay 10× more.Your move: be part of the elite 10 or watch from the sidelines.I’ll see you inside.TradingView Required Disclaimer
This is a paid private script. Not financial advice. Trading involves substantial risk of loss. Past performance is no guarantee of future results. Use only capital you can afford to lose. You are solely responsible for your trading decisions.
Strategytesting
Pivot Trendline Breakout StrategyHow it works:
Long entry: triggered immediately when price closes above the green upper pivot trendline.
Exit (go flat): triggered immediately when price closes below the red lower pivot trendline.
Uses 100% of equity per trade (you can change default_qty_value if you prefer fixed size or risk %).
Works on any timeframe.
ParabolicSAR+EMA[TS_Indie]🚀 EMA + Parabolic SAR Reversal Trading Strategy
This trading system effectively combines the use of Exponential Moving Averages (EMA) with the Parabolic SAR to identify both price trends and key reversal points. The EMA Fast is used to signal the primary short-term trend, while the EMA Slow acts as a filter for the long-term trend direction. The Parabolic SAR then helps to confirm the reversal signals.
🛠️ Tools Used
1. EMA Fast – Primary Short-Term Trend
2. EMA Slow – Long-Term Trend Filter
3. Parabolic SAR – Reversal Confirmation
🎯 Entry Rules
📈 Buy Setup
1. Trend Filter: EMA Fast > EMA Slow → Uptrend
2. Pullback: Price pulls back and closes below the EMA Fast line.
3. Reversal: Price reverses/pulls back up and closes above the EMA Fast line.
4. SAR Confirmation: The previous Parabolic SAR dot is above the high, and the dot in the current candle is below the low → Reversal signal confirmed.
5. Entry: Enter Buy immediately.
📉 Sell Setup
1. Trend Filter: EMA Fast < EMA Slow → Downtrend
2. Pullback: Price pulls back and closes above the EMA Fast line.
3. Reversal: Price reverses/pulls back down and closes below the EMA Fast line.
4. SAR Confirmation: The previous Parabolic SAR dot is below the low, and the dot in the current candle is above the high → Reversal signal confirmed.
5. Entry: Enter Sell immediately.
💰 Exit Management (Entry, Stop Loss, Take Profit)
1. Entry: Enter the order at the closing price of the signal candle.
2. Stop Loss (SL): Set the Stop Loss at the Parabolic SAR dot.
3. Take Profit (TP): Calculated from the Entry and Stop Loss points, multiplied by the Risk Reward Ratio.
⚙️ Optional Parameters
➭ Custom Risk/Reward Ratio for Take Profit.
➭ Option to add an ATR buffer to the Stop Loss.
➭ Adjustable EMA Fast period.
➭ Adjustable EMA Slow period.
➭ Adjustable Parabolic SAR parameters.
➭ Option to enable Long-only / Short-only positions.
➭ Customizable Backtest start and end date.
➭ Customizable trading session time.
🔔 Alert Function
Alerts display:
➭ Entry Price
➭ Stop Loss Price
➭ Take Profit Price
💡 This strategy allows for many parameter adjustments, such as the MA type, adding/subtracting from the Stop Loss using ATR, and selecting specific sessions for backtesting. If you find interesting or profitable results after adjusting the parameters, please share your comments with other traders!
⚠️ Disclaimer
This indicator is designed for educational and research purposes only. It does not guarantee profits and should not be considered financial advice. Trading in financial markets involves significant risk , including the potential loss of capital.
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction
The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts.
Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern.
The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it.
🔵 Identifying the QM Pattern
🟣 Bullish QM
In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement.
🟣 Bearish QM
The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes.
🔵 How to Use
The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases.
🟣 Bullish Quasimodo
A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low.
This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy.
🟣 Bearish Quasimodo
A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped.
Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps.
🔵 Setting
Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5.
Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter.
Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter.
Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point.
Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980.
Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15.
🔵 Results
The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image.
⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences.
Default Properties of Backtests :
OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year :
BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year :
CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year :
NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year :
OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year :
PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
W%R Pullback+EMA Trend [TS_Indie]🔰 Core Concept of the Strategy
The main idea is “Trend-Following with Momentum Pullback.”
This means trading in the direction of the main trend (defined by EMA) while using Williams %R to identify pullback entries (buying the dip or selling the rally) where momentum returns to the trend direction.
📊 Indicators Used
1. EMA Fast – Defines the short-term trend.
2. EMA Slow – Defines the long-term trend (used as a trend filter).
3. Williams %R
• Overbought zone: above -20
• Oversold zone: below -80
⚙️ Entry Rules
🔹 Buy Setup
1. EMA Fast > EMA Slow → Uptrend condition.
2. Williams %R on the previous candle dropped below -80, and on the current candle, it crosses back above -80 → indicates momentum returning to the upside.
3. Current close is above EMA Fast.
4. Entry Buy at the close of the candle where %R crosses above -80.
🎯 Entry, Stop Loss, and Take Profit
1. Entry : At the candle close where the signal occurs.
2. Stop Loss : At the lowest low between the current and previous candles.
3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio.
🔹 Sell Setup
1. EMA Fast < EMA Slow → Downtrend condition.
2. Williams %R on the previous candle went above -20, and on the current candle, it crosses back below -20 → indicates renewed selling momentum.
3. Current price is below EMA Fast.
4. Entry Sell at the close of the candle where %R crosses below -20.
🎯 Entry, Stop Loss, and Take Profit
1. Entry : At the candle close where the signal occurs.
2. Stop Loss : At the highest high between the current and previous candles.
3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio.
⚙️ Optional Parameters
• Custom Risk/Reward Ratio for Take Profit.
• Option to add ATR buffer to Stop Loss.
• Adjustable EMA Fast period.
• Adjustable EMA Slow period.
• Adjustable Williams %R period.
• Option to enable Long only / Short only positions.
• Customizable Backtest start and end date.
• Customizable trading session time.
⏰ Alert Function
Alerts display:
• Entry price
• Stop Loss price
• Take Profit price
Guys, try adjusting the parameters yourselves!
I’ve been tweaking the settings for several days and managed to get great results on XAU/USD in the 5-minute timeframe.
I think this strategy is quite interesting and could potentially deliver good results on other instruments as well.
⚠️ Disclaimer
This indicator is designed for educational and research purposes only.
It does not guarantee profits and should not be considered financial advice.
Trading in financial markets involves significant risk, including the potential loss of capital.
Universal Regime Alpha Thermocline StrategyCurrents settings adapted for BTCUSD Daily timeframe
This description is written to comply with TradingView House Rules and Script Publishing Rules. It is self contained, in English first, free of advertising, and explains originality, method, use, defaults, and limitations. No external links are included. Nothing here is investment advice.
0. Publication mode and rationale
This script is published as Protected . Anyone can add and test it from the Public Library, yet the source code is not visible.
Why Protected
The engine combines three independent lenses into one regime score and then uses an adaptive centering layer and a thermo risk unit that share a common AAR measure. The exact mapping and interactions are the result of original research and extensive validation. Keeping the implementation protected preserves that work and avoids low effort clones that would fragment feedback and confuse users.
Protection supports a single maintained build for users. It reduces accidental misuse of internal functions outside their intended context which might lead to misleading results.
1. What the strategy does in one paragraph
Universal Regime Alpha Thermocline builds a single number between zero and one that answers a practical question for any market and timeframe. How aligned is current price action with a persistent directional regime right now. To answer this the script fuses three views of the tape. Directional entropy of up versus down closes to measure unanimity.
Convexity drift that rewards true geometric compounding and penalizes drag that comes from chop where arithmetic pace is high but growth is poor.
Tail imbalance that counts decisive bursts in one direction relative to typical bar amplitude. The three channels are blended, optionally confirmed by a higher timeframe, and then adaptively centered to remove local bias. Entries fire when the score clears an entry gate. Exits occur when the score mean reverts below an exit gate or when thermo stops remove risk. Position size can scale with the certainty of the signal.
2. Why it is original and useful
It mixes orthogonal evidence instead of leaning on a single family of tools. Many regime filters depend on moving averages or volatility compression. Here we add an information view from entropy, a growth view from geometric drift, and a structural view from tail imbalance.
The drift channel separates growth from speed. Arithmetic pace can look strong in whipsaw, yet geometric growth stays weak. The engine measures both and subtracts drag so that only sequences with compounding quality rise.
Tail counting is anchored to AAR which is the average absolute return of bars in the window. This makes the threshold self scaling and portable across symbols and timeframes without hand tuned constants.
Adaptive centering prevents the score from living above or below neutral for long stretches on assets with strong skew. It recovers neutrality while still allowing persistent regimes to dominate once evidence accumulates.
The same AAR unit used in the signal also sets stop distance and trail distance. Signal and risk speak the same language which makes the method portable and easier to reason about.
3. Plain language overview of the math
Log returns . The base series is r equal to the natural log of close divided by the previous close. Log return allows clean aggregation and makes growth comparisons natural.
Directional entropy . Inside the lookback we compute the proportion p of bars where r is positive. Binary entropy of p is high when the mix of up and down closes is balanced and low when one direction dominates. Intensity is one minus entropy. Directional sign is two times p minus one. The trend channel is zero point five plus one half times sign times intensity. It lives between zero and one and grows stronger as unanimity increases.
Convexity drift with drag . Arithmetic mean of r measures pace. Geometric mean of the price ratio over the window measures compounding. Drag is the positive part of arithmetic minus geometric. Drift raw equals geometric minus drag multiplier times drag. We then map drift through an arctangent normalizer scaled by AAR and a nonlinearity parameter so the result is stable and remains between zero and one.
Tail imbalance . AAR equals the average of the absolute value of r in the window. We count up tails where r is greater than aar_mult times AAR and down tails where r is less than minus aar_mult times AAR. The imbalance is their difference over their total, mapped to zero to one. This detects directional impulse flow.
Fusion and centering . A weighted average of the three channels yields the raw score. If a higher timeframe is requested, the same function is executed on that timeframe with lookahead off and blended with a weight. Finally we subtract a fraction of the rolling mean of the score to recover neutrality. The result is clipped to the zero to one band.
4. Entries, exits, and position sizing
Enter long when score is strictly greater than the entry gate. Enter short when score is strictly less than one minus the entry gate unless direction is restricted in inputs.
Exit a long when score falls below the exit gate. Exit a short when score rises above one minus the exit gate.
Thermo stops are expressed in AAR units. A long uses the maximum of an initial stop sized by the entry price and AAR and a trail stop that references the running high since entry with a separate multiple. Shorts mirror this with the running low. If the trail is disabled the initial stop is active.
Cooldown is a simple bar counter that begins when the position returns to flat. It prevents immediate re entry in churn.
Dynamic position size is optional. When enabled the order percent of equity scales between a floor and a cap as the score rises above the gate for longs or below the symmetric gate for shorts.
5. Inputs quick guide with recommended ranges
Every input has a tooltip in the script. The same guidance appears here for fast reading.
Core window . Shared lookback for entropy, drift, and tails. Start near 80 on daily charts. Try 60 to 120 on intraday and 80 to 200 for swing.
Entry threshold . Typical range 0.55 to 0.65 for trend following. Faster entries 0.50 to 0.55.
Exit threshold . Typical range 0.35 to 0.50. Lower holds longer yet gives back more.
Weight directional entropy . Starting value 0.40. Raise on markets with clean persistence.
Weight convexity drift . Starting value 0.40. Raise when compounding quality is critical.
Weight tail imbalance . Starting value 0.20. Raise on breakout prone markets.
Tail threshold vs AAR . Typical range 1.0 to 1.5 to count decisive bursts.
Drag penalty . Typical range 0.25 to 0.75. Higher punishes chop more.
Nonlinearity scale . Typical range 0.8 to 2.0. Larger compresses extremes.
AAR floor in percent . Typical range 0.0005 to 0.002 for liquid instruments. This stabilizes the math during quiet regimes.
Adaptive centering . Keep on for most symbols. Center strength 0.40 to 0.70.
Confirm timeframe optional . Leave empty to disable. If used, try a multiple between three and five of the chart timeframe with a blend weight near 0.20.
Dynamic position size . Enable if you want size to reflect certainty. Floor and cap define the percent of equity band. A practical band for many accounts is 0.5 to 2.
Cooldown bars after exit . Start at 3 on daily or slightly higher on shorter charts.
Thermo stop multiple . Start between 1.5 and 3.0 on daily. Adjust to your tolerance and symbol behavior.
Thermo trailing stop and Trail multiple . Trail on locks gains earlier. A trail multiple near 1.0 to 2.0 is common. You can keep trail off and let the exit gate handle exits.
Background heat opacity . Cosmetic. Set to taste. Zero disables it.
6. Properties used on the published chart
The example publication uses BTCUSD on the daily timeframe. The following Properties and inputs are used so everyone can reproduce the same results.
Initial capital 100000
Base currency USD
Order size 2 percent of equity coming from our risk management inputs.
Pyramiding 0
Commission 0.05 percent
Slippage 10 ticks in the publication for clarity. Users should introduce slippage in their own research.
Recalculate after order is filled off. On every tick off.
Using bar magnifier on. On bar close on.
Risk inputs on the published chart. Dynamic position size on. Size floor percent 2. Size cap percent 2. Cooldown bars after exit 3. Thermo stop multiple 2.5. Thermo trailing stop off. Trail multiple 1.
7. Visual elements and alerts
The score is painted as a subtle dot rail near the bottom. A background heat map runs from red to green to convey regime strength at a glance. A compact HUD at the top right shows current score, the three component channels, the active AAR, and the remaining cooldown. Four alerts are included. Long Setup and Short Setup on entry gates. Exit Long by Score and Exit Short by Score on exit gates. You can disable trading and use alerts only if you want the score as a risk switch inside a discretionary plan.
8. How to reproduce the example
Open a BTCUSD daily chart with regular candles.
Add the strategy and load the defaults that match the values above.
Set Properties as listed in section 6.(they are set by default) Confirm that bar magnifier is on and process on bar close is on.
Run the Strategy Tester. Confirm that the trade count is reasonable for the sample. If the count is too low, slightly lower the entry threshold or extend history. If the count is excessively high, raise the threshold or add a small cooldown.
9. Practical tuning recipes
Trend following focus . Raise the entry threshold toward 0.60. Raise the trend weight to 0.50 and reduce tail weight to 0.15. Keep drift near 0.35 to retain the growth filter. Consider leaving the trail off and let the exit threshold manage positions.
Breakout focus . Keep entry near 0.55. Raise tail weight to 0.35. Keep aar_mult near 1.3 so only decisive bursts count. A modest cooldown near 5 can reduce immediate false flips after the first burst bar.
Chop defense . Raise drag multiplier to 0.70. Raise exit threshold toward 0.48 to recycle capital earlier. Consider a higher cooldown, for example 8 to 12 on intraday.
Higher timeframe blend . On a daily chart try a weekly confirm with a blend near 0.20. On a five minute chart try a fifteen minute confirm. This moderates transitions.
Sizing discipline . If you want constant position size, set floor equal to cap. If you want certainty scaling, set a band like 0.5 to 2 and monitor drawdown behavior before widening it.
10. Strengths and limitations
Strengths
Self scaling unit through AAR makes the tool portable across markets and timeframes.
Blends evidence that target different failure modes. Unanimity, growth quality, and impulse flow rarely agree by chance which raises confidence when they align.
Adaptive centering reduces structural bias at the score level which helps during regime flips.
Limitations
In very quiet regimes AAR becomes small even with a floor. If your symbol is thin or gap prone, raise the floor a little to keep stops and drift mapping stable.
Adaptive centering can delay early breakout acceptance. If you miss starts, lower center strength or temporarily disable centering while you evaluate.
Tail counting uses a fixed multiple of AAR. If a market alternates between very calm and very violent weeks, a single aar_mult may not capture both extremes. Sweep this parameter in research.
The engine reacts to realized structure. It does not anticipate scheduled news or liquidity shocks. Use event awareness if you trade around releases.
11. Realism and responsible publication
No promises or projections of performance are made. Past results never guarantee future outcomes.
Commission is set to 0.05 percent per round which is realistic for many crypto venues. Adjust to your own broker or exchange.
Slippage is set at 10 in the publication . Introduce slippage in your own tests or use a percent model.
Position size should respect sustainable risk envelopes. Risking more than five to ten percent per trade is rarely viable. The example uses a fixed two percent position size.
Security calls use lookahead off. Standard candles only. Non standard chart types like Heikin Ashi or Renko are not supported for strategies that submit orders.
12. Suggested research workflow
Begin with the balanced defaults. Confirm that the trade count is sensible for your timeframe and symbol. As a rough guide, aim for at least one hundred trades across a wide sample for statistical comfort. If your timeframe cannot produce that count, complement with multiple symbols or run longer history.
Sweep entry and exit thresholds on a small grid and observe stability. Stability across windows matters more than the single best value.
Try one higher timeframe blend with a modest weight. Large weights can drown the signal.
Vary aar_mult and drag_mult together. This tunes the aggression of breakouts versus defense in chop.
Evaluate whether dynamic size improves risk adjusted results for your style. If not, set floor equal to cap for constancy.
Walk forward through disjoint segments and inspect results by regime. Bootstrapping or segmented evaluation can reveal sensitivity to specific periods.
13. How to read the HUD and heat map
The HUD presents a compact view. Score is the current fused value. Trend is the directional entropy channel. Drift is the compounding quality channel. Tail is the burst flow channel. AAR is the current unit that scales stops and the drift map. CD is the cooldown counter. The background heat is a visual aid only. It can be disabled in inputs. Green zones near the upper band show alignment among the channels. Muted colors near the mid band show uncertainty.
14. Frequently asked questions
Can I use this as a pure indicator . Yes. Disable entries by restricting direction to one side you will not trade and use the alerts as a regime switch.
Will it work on intraday charts . Yes. The AAR unit scales with bar size. You will likely reduce the core window and increase cooldown slightly.
Should I enable the adaptive trail . If you wish to lock gains sooner and accept more exits, enable it. If you prefer to let the exit gate do the heavy lifting, keep it off.
Why do I sometimes see a green background without a position . Heat expresses the score. A position also depends on threshold comparisons, direction mode, and cooldown.
Why is Order size set to one hundred percent if dynamic size is on . The script passes an explicit quantity percent on each entry. That explicit quantity overrides the property. The property is kept at one hundred percent to avoid confusion when users later disable dynamic sizing.
Can I combine this with other tools on my chart . You can, yet for publication the chart is kept clean so users and moderators can see the output clearly. In your private workspace feel free to add other context.
15. Concepts glossary
AAR . Average absolute return across the lookback. Serves as a unit for tails, drift scaling, and stops.
Directional entropy . A measure of uncertainty of up versus down closes. Low entropy paired with a directional sign signals unanimity.
Geometric mean growth . Rate that preserves the effect of compounding over many bars.
Drag . The positive difference between arithmetic pace and geometric growth. Larger drag often signals churn that looks active but fails to compound.
Thermo stops . Stops expressed in the same AAR unit as the signal. They adapt with volatility and keep risk and signal on a common scale.
Adaptive centering . A bias correction that recenters the fused score around neutral so the meter does not drift due to persistent skew.
16. Educational notice and risk statement
Markets involve risk. This publication is for education and research. It does not provide financial advice and it is not a recommendation to buy or sell any instrument. Use realistic costs. Validate ideas with out of sample testing and with conservative position sizing. Past performance never guarantees future results.
17. Final notes for readers and moderators
The goal of this strategy is clarity and portability. Clarity comes from a single score that reflects three independent features of the tape. Portability comes from self scaling units that respect structure across assets and timeframes. The publication keeps the chart clean, explains the math plainly, lists defaults and Properties used, and includes warnings where care is required. The code is protected so the implementation remains consistent for the community while the description remains complete enough for users to understand its purpose and for moderators to evaluate originality and usefulness. If you explore variants, keep them self contained, explain exactly what they contribute, publish in English first, and treat others with respect in the comments.
Load the strategy on BTCUSD daily with the defaults listed above and study how the score transitions across regimes. Then adjust one lever at a time. Observe how the trend channel, the drift channel, and the tail channel interact during starts, pauses, and reversals. Use the alerts as a risk switch inside your own process or let the built in entries and exits run if you prefer an automated study. The intent is not to promise outcomes. The intent is to give you a robust meter for regime strength that travels well across markets and helps you structure decisions with more confidence.
Thank you for your time to read all of this
The Best Strategy Template[LuciTech]Hello Traders,
This is a powerful and flexible strategy template designed to help you create, backtest, and deploy your own custom trading strategies. This template is not a ready-to-use strategy but a framework that simplifies the development process by providing a wide range of pre-built features and functionalities.
What It Does
The LuciTech Strategy Template provides a robust foundation for building your own automated trading strategies. It includes a comprehensive set of features that are essential for any serious trading strategy, allowing you to focus on your unique trading logic without having to code everything from scratch.
Key Features
The LuciTech Strategy Template integrates several powerful features to enhance your strategy development:
•
Advanced Risk Management: This includes robust controls for defining your Risk Percentage per Trade, setting a precise Risk-to-Reward Ratio, and implementing an intelligent Breakeven Stop-Loss mechanism that automatically adjusts your stop to the entry price once a specified profit threshold is reached. These elements are crucial for capital preservation and consistent profitability.
•
Flexible Stop-Loss Options: The template offers adaptable stop-loss calculation methods, allowing you to choose between ATR-Based Stop-Loss, which dynamically adjusts to market volatility, and Candle-Based Stop-Loss, which uses structural price points from previous candles. This flexibility ensures the stop-loss strategy aligns with diverse trading styles.
•
Time-Based Filtering: Optimize your strategy's performance by restricting trading activity to specific hours of the day. This feature allows you to avoid unfavorable market conditions or focus on periods of higher liquidity and volatility relevant to your strategy.
•
Customizable Webhook Alerts: Stay informed with advanced notification capabilities. The template supports sending detailed webhook alerts in various JSON formats (Standard, Telegram, Concise Telegram) to external platforms, facilitating real-time monitoring and potential integration with automated trading systems.
•
Comprehensive Visual Customization: Enhance your analytical clarity with extensive visual options. You can customize the colors of entry, stop-loss, and take-profit lines, and effectively visualize market inefficiencies by displaying and customizing Fair Value Gap (FVG) boxes directly on your chart.
How It Does It
The LuciTech Strategy Template is meticulously crafted using Pine Script, TradingView's powerful and expressive programming language. The underlying architecture is designed for clarity and modularity, allowing for straightforward integration of your unique trading signals. At its core, the template operates by taking user-defined entry and exit conditions and then applying a sophisticated layer of risk management, position sizing, and trade execution logic.
For instance, when a longCondition or shortCondition is met, the template dynamically calculates the appropriate position size. This calculation is based on your specified risk_percent of equity and the stop_distance (the distance between your entry price and the calculated stop-loss level). This ensures that each trade adheres to your predefined risk parameters, a critical component of disciplined trading.
The flexibility in stop-loss calculation is achieved through a switch statement that evaluates the sl_type input. Whether you choose an ATR-based stop, which adapts to market volatility, or a candle-based stop, which uses structural price points, the template seamlessly integrates these methods. The ATR calculation itself is further refined by allowing various smoothing methods (RMA, SMA, EMA, WMA), providing granular control over how volatility is measured.
Time-based filtering is implemented by comparing the current bar's time with user-defined start_hour, start_minute, end_hour, and end_minute inputs. This allows the strategy to activate or deactivate trading during specific market sessions or periods of the day, a valuable tool for optimizing performance and avoiding unfavorable conditions.
Furthermore, the template incorporates advanced webhook alert functionality. When a trade is executed, a customizable JSON message is formatted based on your webhook_format selection (Standard, Telegram, or Concise Telegram) and sent via alert function. This enables seamless integration with external services for real-time notifications or even automated trade execution through third-party platforms.
Visual feedback is paramount for understanding strategy behavior. The template utilizes plot and fill functions to clearly display entry prices, stop-loss levels, and take-profit targets directly on the chart. Customizable colors for these elements, along with dedicated options for Fair Value Gap (FVG) boxes, enhance the visual analysis during backtesting and live trading, making it easier to interpret the strategy's actions.
How It's Original
The LuciTech Strategy Template distinguishes itself in the crowded landscape of TradingView scripts through its unique combination of integrated, advanced risk management features, highly flexible stop-loss methodologies, and sophisticated alerting capabilities, all within a user-friendly and modular framework. While many templates offer basic entry/exit signal integration, LuciTech goes several steps further by providing a robust, ready-to-use infrastructure for managing the entire trade lifecycle once a signal is generated.
Unlike templates that might require users to piece together various risk management components or code complex stop-loss logic from scratch, LuciTech offers these critical functionalities out-of-the-box. The inclusion of dynamic position sizing based on a user-defined risk percentage, a configurable risk-to-reward ratio, and an intelligent breakeven mechanism significantly elevates its utility. This comprehensive approach to capital preservation and profit targeting is a cornerstone of professional trading and is often overlooked or simplified in generic templates.
Furthermore, the template's provision for multiple stop-loss calculation types—ATR-based for volatility adaptation, and candle-based for structural support/resistance—demonstrates a deep understanding of diverse trading strategies. The underlying code for these calculations is already implemented, saving developers considerable time and effort. The subtle yet powerful inclusion of FVG (Fair Value Gap) related inputs also hints at advanced price action concepts, offering a sophisticated layer of analysis and execution that is not commonly found in general-purpose templates.
The advanced webhook alerting system, with its support for various JSON formats tailored for platforms like Telegram, showcases an originality in catering to the needs of modern, automated trading setups. This moves beyond simple TradingView pop-up alerts, enabling seamless integration with external systems for real-time trade monitoring and execution. This level of external connectivity and customizable data output is a significant differentiator.
In essence, the LuciTech Strategy Template is original not just in its individual features, but in how these features are cohesively integrated to form a powerful, opinionated, yet highly adaptable system. It empowers traders to focus their creative energy on developing their core entry/exit signals, confident that the underlying framework will handle the complexities of risk management, trade execution, and external communication with precision and flexibility. It's a comprehensive solution designed to accelerate the development of robust and professional trading strategies.
How to Modify the Logic to Apply Your Strategy
The LuciTech Strategy Template is designed with modularity in mind, making it exceptionally straightforward to integrate your unique trading strategy logic. The template provides a clear separation between the core strategy management (risk, position sizing, exits) and the entry signal generation. This allows you to easily plug in your own buy and sell conditions without altering the robust underlying framework.
Here’s a step-by-step guide on how to adapt the template to your specific trading strategy:
1.
Locate the Strategy Logic Section:
Open the Pine Script editor in TradingView and navigate to the section clearly marked with the comment //Strategy Logic Example:. This is where the template’s placeholder entry conditions (a simple moving average crossover) are defined.
2.
Define Your Custom Entry Conditions:
Within this section, you will find variables such as longCondition and shortCondition. These are boolean variables that determine when a long or short trade should be initiated. Replace the existing example logic with your own custom buy and sell conditions. Your conditions can be based on any combination of indicators, price action patterns, candlestick formations, or other market analysis techniques. For example, if your strategy involves a combination of RSI and MACD, you would define longCondition as (rsi > 50 and macd_line > signal_line) and shortCondition as (rsi < 50 and macd_line < signal_line).
3.
Leverage the Template’s Built-in Features:
Once your longCondition and shortCondition are defined, the rest of the template automatically takes over. The integrated risk management module will calculate the appropriate position size based on your Risk % input and the chosen Stop Loss Type. The Risk:Reward ratio will determine your take-profit levels, and the Breakeven at R feature will manage your stop-loss dynamically. The time filter (Use Time Filter) will ensure your trades only occur within your specified hours, and the webhook alerts will notify you of trade executions.
Advanced Supertrend ADX Strategy with Highest ReturnOverview
This sophisticated trading strategy combines the proven Supertrend indicator with advanced momentum filters and trend strength analysis to identify high-probability long entries in trending markets.
Key Features
✅ Supertrend-Based Signals: Uses optimized ATR calculations for reliable trend detection
✅ Advanced Momentum Filtering: Multiple proprietary momentum filters ensure entry quality
✅ Trend Strength Validation: ADX-based confirmation prevents false signals in weak trends
✅ Intelligent Risk Management: Dynamic stop-loss system based on price action
✅ Visual Stop Loss Indicators: Clear visual representation of risk levels
How It Works
The strategy enters long positions when:
Supertrend indicator confirms bullish trend reversal
Proprietary momentum conditions align for optimal entry timing
Trend strength exceeds minimum threshold (ADX > 20)
Multiple timeframe momentum filters confirm signal quality
Ideal For
Trending markets (stocks, forex, crypto, indices)
Swing trading timeframes (15m to 4H work best)
Traders seeking systematic, rule-based entries
Risk-conscious traders wanting clear stop levels
Settings
ATR Period: Adjustable for different volatility environments (default: 10)
Supertrend Factor: Fine-tune sensitivity (default: 3.0)
ADX Parameters: Customize trend strength requirements
Performance Notes
Long-only strategy optimized for uptrending markets
Works best in trending conditions, may underperform in choppy markets
Designed for systematic execution with clear entry/exit rules
Disclaimer
Past performance does not guarantee future results. Always use proper risk management and position sizing appropriate for your account size. This is just for education purpose only and not recomanded for trading in s
is_strategyCorrection-Adaptive Trend Strategy (Open-Source)
Core Advantage: Designed specifically for the is_correction indicator, with full transparency and customization options.
Key Features:
Open-Source Code:
✅ Full access to the strategy logic – study how every trade signal is generated.
✅ Freedom to customize – modify entry/exit rules, risk parameters, or add new indicators.
✅ No black boxes – understand and trust every decision the strategy makes.
Built for is_correction:
Filters out false signals during market noise.
Works only in confirmed trends (is_correction = false).
Adaptable for Your Needs:
Change Take Profit/Stop Loss ratios directly in the code.
Add alerts, notifications, or integrate with other tools (e.g., Volume Profile).
For Developers/Traders:
Use the code as a template for your own strategies.
Test modifications risk-free on historical data.
How the Strategy Works:
Main Goal:
Automatically buys when the price starts rising and sells when it starts falling, but only during confirmed trends (ignoring temporary pullbacks).
What You See on the Chart:
📈 Up arrows ▼ (below the candle) = Buy signal.
📉 Down arrows ▲ (above the candle) = Sell signal.
Gray background = Market is in a correction (no trades).
Key Mechanics:
Buy Condition:
Price closes higher than the previous candle + is_correction confirms the main trend (not a pullback).
Example: Red candle → green candle → ▼ arrow → buy.
Sell Condition:
Price closes lower than the previous candle + is_correction confirms the trend (optional: turn off short-selling in settings).
Exit Rules:
Closes trades automatically at:
+0.5% profit (adjustable in settings).
-0.5% loss (adjustable).
Or if a reverse signal appears (e.g., sell signal after a buy).
User-Friendly Settings:
Sell – On (default: ON):
ON → Allows short-selling (selling when price falls).
OFF → Strategy only buys and closes positions.
Revers (default: OFF):
ON → Inverts signals (▼ = sell, ▲ = buy).
%Profit & %Loss:
Adjust these values (0-30%) to increase/decrease profit targets and risk.
Example Scenario:
Buy Signal:
Price rises for 3 days → green ▼ arrow → strategy buys.
Stop loss set 0.5% below entry price.
If price keeps rising → trade closes at +0.5% profit.
Correction Phase:
After a rally, price drops for 1 day → gray background → strategy ignores the drop (no action).
Stop Loss Trigger:
If price drops 0.5% from entry → trade closes automatically.
Key Features:
Correction Filter (is_correction):
Acts as a “noise filter” → avoids trades during temporary pullbacks.
Flexibility:
Disable short-selling, flip signals, or tweak profit/loss levels in seconds.
Transparency:
Open-source code → see exactly how every signal is generated (click “Source” in TradingView).
Tips for Beginners:
Test First:
Run the strategy on historical data (click the “Chart” icon in TradingView).
See how it performed in the past.
Customize It:
Increase %Profit to 2-3% for volatile assets like crypto.
Turn off Sell – On if short-selling confuses you.
Trust the Stop Loss:
Even if you think the price will rebound, the strategy will close at -0.5% to protect your capital.
Where to Find Settings:
Click the strategy name on the top-left of your chart → adjust sliders/toggles in the menu.
Русская Версия
Трендовая стратегия с открытым кодом
Главное преимущество: Полная прозрачность логики и адаптация под ваши нужды.
Особенности:
Открытый исходный код:
✅ Видите всю «кухню» стратегии – как формируются сигналы, когда открываются сделки.
✅ Меняйте правила – корректируйте тейк-профит, стоп-лосс или добавляйте новые условия.
✅ Никаких секретов – вы контролируете каждое правило.
Заточка под is_correction:
Игнорирует ложные сигналы в коррекциях.
Работает только в сильных трендах (is_correction = false).
Гибкая настройка:
Подстройте параметры под свой риск-менеджмент.
Добавьте свои индикаторы или условия для входа.
Для трейдеров и разработчиков:
Используйте код как основу для своих стратегий.
Тестируйте изменения на истории перед реальной торговлей.
Простыми словами:
Почему это удобно:
Открытый код = полный контроль. Вы можете:
Увидеть, как именно стратегия решает купить или продать.
Изменить правила закрытия сделок (например, поставить TP=2% вместо 1.5%).
Добавить новые условия (например, торговать только при высоком объёме).
Примеры кастомизации:
Новички: Меняйте только TP/SL в настройках (без кодинга).
Продвинутые: Добавьте RSI-фильтр, чтобы избегать перекупленности.
Разработчики: Встройте стратегию в свою торговую систему.
Как начать:
Скачайте код из TradingView.
Изучите логику в разделе strategy.entry/exit.
Меняйте параметры в блоке input.* (безопасно!).
Тестируйте изменения и оптимизируйте под свои цели.
Как работает стратегия:
Главная задача:
Автоматически покупает, когда цена начинает расти, и продаёт, когда падает. Но делает это «умно» — только когда рынок в основном тренде, а не во временном откате (коррекции).
Что видно на графике:
📈 Стрелки вверх ▼ (под свечой) — сигнал на покупку.
📉 Стрелки вниз ▲ (над свечой) — сигнал на продажу.
Серый фон — рынок в коррекции (не торгуем).
Как это работает:
Когда покупаем:
Если цена закрылась выше предыдущей и индикатор is_correction показывает «основной тренд» (не коррекция).
Пример: Была красная свеча → стала зелёная → появилась стрелка ▼ → покупаем.
Когда продаём:
Если цена закрылась ниже предыдущей и is_correction подтверждает тренд (опционально, можно отключить в настройках).
Когда закрываем сделку:
Автоматически при достижении:
+0.5% прибыли (можно изменить в настройках).
-0.5% убытка (можно изменить).
Или если появился противоположный сигнал (например, после покупки пришла стрелка продажи).
Настройки для чайников:
«Sell – On» (включено по умолчанию):
Если включено → стратегия будет продавать в шорт.
Если выключено → только покупки и закрытие позиций.
«Revers» (выключено по умолчанию):
Если включить → стратегия будет работать наоборот (стрелки ▼ = продажа, ▲ = покупка).
«%Profit» и «%Loss»:
Меняйте эти цифры (от 0 до 30), чтобы увеличить/уменьшить прибыль и риски.
Пример работы:
Сигнал на покупку:
Цена 3 дня растет → появляется зелёная стрелка ▼ → стратегия покупает.
Стоп-лосс ставится на 0.5% ниже цены входа.
Если цена продолжает расти → сделка закрывается при +0.5% прибыли.
Коррекция:
После роста цена падает на 1 день → фон становится серым → стратегия игнорирует это падение (не закрывает сделку).
Стоп-лосс:
Если цена упала на 0.5% от точки входа → сделка закрывается автоматически.
Важные особенности:
Фильтр коррекций (is_correction):
Это «защита от шума» — стратегия не реагирует на мелкие откаты, работая только в сильных трендах.
Гибкие настройки:
Можно запретить шорты, перевернуть сигналы или изменить уровни прибыли/убытка за 2 клика.
Прозрачность:
Весь код открыт → вы можете увидеть, как формируется каждый сигнал (меню «Исходник» в TradingView).
Советы для новичков:
Начните с теста:
Запустите стратегию на исторических данных (кнопка «Свеча» в окне TradingView).
Посмотрите, как она работала в прошлом.
Настройте под себя:
Увеличьте %Profit до 2-3%, если торгуете валюты.
Отключите «Sell – On», если не понимаете шорты.
Доверяйте стоп-лоссу:
Даже если кажется, что цена развернётся — стратегия закроет сделку при -0.5%, защитив ваш депозит.
Где найти настройки:
Кликните на название стратегии в верхнем левом углу графика → откроется меню с ползунками и переключателями.
Важно: Стратегия предоставляет «рыбу» – чтобы она стала «уловистой», адаптируйте её под свой стиль торговли!
Gold Friday Anomaly StrategyThis script implements the " Gold Friday Anomaly Strategy ," a well-known historical trading strategy that leverages the gold market's behavior from Thursday evening to Friday close. It is a backtesting-focused strategy designed to assess the historical performance of this pattern. Traders use this anomaly as it captures a recurring market tendency observed over the years.
What It Does:
Entry Condition: The strategy enters a long position at the beginning of the Friday trading session (Thursday evening close) within the defined backtesting period.
Exit Condition: Friday evening close.
Backtesting Controls: Allows users to set custom backtesting periods to evaluate strategy performance over specific date ranges.
Key Features:
Custom Backtest Periods: Easily configurable inputs to set the start and end date of the backtesting range.
Fixed Slippage and Commission Settings: Ensures realistic simulation of trading conditions.
Process Orders on Close: Backtesting is optimized by processing orders at the bar's close.
Important Notes:
Backtesting Only: This script is intended purely for backtesting purposes. Past performance is not indicative of future results.
Live Trading Recommendations: For live trading, it is highly recommended to use limit orders instead of market orders, especially during evening sessions, as market order slippage can be significant.
Default Settings:
Entry size: 10% of equity per trade.
Slippage: 1 tick.
Commission: 0.05% per trade.
Bonsai BX (Backtester)In today's trading landscape, traders need precision and deep analytical tools to navigate the sea of strategies. The Bonsai Backtester is one such tool, meticulously designed to evaluate multiple trading strategies in an integrated manner.
═════════════════════════════════════════════════════════════════════════
🌳 Bonsai BX 🌳 Universal Strategy Testing
📘 Overview
A product of collaboration with the Bonsai community, this backtester is both a reflection of collective insights and a means to provide traders with data-driven insights on TradingView.
📌 Current Backtest
• Dataset: BTCUSD daily candles from Coinbase, starting from March 2015.
• Source Signals: The Bonsai indicator signals are employed for both long and short entries. These are directly visible on the publication chart.
• Trading Assumptions:
• Initial Capital: $1,000
• Maximum Position Size: 10% of equity per trade
• Stop Loss: 10% per position
• Commission: 0.1%
• Slippage: 100 ticks (1.00)
🛠 Key Features
The Bonsai BX is equipped with a range of features aimed at providing traders with a more comprehensive analysis environment:
Features on Chart
• External Indicator Adaptability: Easily incorporate signals from both built-in and custom TradingView indicators.
• Snapshot Table: Delivers on-the-spot insights into crucial strategy performance metrics, including equity, open profit, position size, and entry price. While these details are available in TradingView's 'Performance Summary' panel, we've integrated them directly onto the chart for a more streamlined and accessible viewing experience.
• Trade Labels: Visualize profit metrics for individual trades directly on the chart, allowing for a more immediate grasp of trade outcomes.
• Long & Short Behaviors: Modify long behaviors to either open new long positions while closing short ones, or simply to close short positions. Conversely, for short behaviors, opt to either initiate new short positions while closing any active long ones or simply close long positions.
• Multiple Signals Integration: The tool can currently handle up to three different external signals for long and short trades.
• Condition-based Initiation: Define whether longs and shorts are triggered when 'All Conditions Met' or just 'Any Single Condition Met'. This flexibility allows for a more nuanced trading approach. For example, if you're using a trade signal alongside the RSI, you can specify that a long position should only open when the trade signal is active and the RSI is below 30 at the same time. This lets you combine multiple signals or conditions for more precise trade initiation.
• TP & SL Customization:
• Single TP: Set a specific Take Profit percentage.
• SL: Define a Stop Loss percentage and choose between a standard or trailing stop.
• Trail From: Specify the starting point of the trailing stop, be it the breakeven point or a certain percentage.
• Interface Theme: Users can select between light and dark themes for their interface.
Performance and Trailing
🎛 Using Bonsai BX
1. Add it to your TradingView chart.
2. Adjust script parameters and settings. Integrate external indicator signals as needed.
3. Activate the backtester to refine trading strategies.
Backtester Settings Menu
🪝 Webhook (Beta)
The Webhook functionality, now in beta, augments the Bonsai BX utility. This feature offers a more intuitive method for users to direct webhooks to trading bots, exchanges, and brokers. It simplifies the process by eliminating the need to adjust JSON structures or other payload formats, making alert automation more accessible.
📜 Feedback & Community
The feedback from the Bonsai community has been instrumental in the tool's development and will continue to shape its evolution. As part of our commitment to adaptive, smart trading, this script will continually be updated to meet the ever-changing requirements of traders.
❗️ Disclaimer
Backtesting tools, including the Bonsai BX , simulate trading strategies based on historical data. The following key points should be kept in mind:
1. Past Performance is Not Predictive: While backtesting can offer insights, it's essential to understand that past performance does not guarantee or predict future results. Historical data might not account for future market changes or unforeseen events.
2. External Influences: Market outcomes can be significantly influenced by various external factors like geopolitical events, economic announcements, and sudden shifts in market sentiment. Such factors are often not considered in backtesting simulations.
3. Market Dynamics: Elements like market volatility, liquidity constraints, and slippage can drastically alter expected outcomes. These dynamics might not always be accurately represented in backtest simulations.
4. Limitations of Simulated Trades: Backtesting operates under the assumption that historical trends and patterns will replicate. However, market conditions evolve, and what worked in the past might not necessarily be viable in the future.
5. Informed Decisions: Always base your trading decisions on a mix of comprehensive research, current market analysis, and risk assessment. Relying solely on backtested results can lead to misconstrued perceptions and potential pitfalls.
Trading involves risks, and it's crucial to be fully informed and cautious before making any investment decisions. Always consider seeking advice from financial experts or professionals when in doubt.
Hobbiecode - Five Day Low RSI StrategyThis is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules:
1. If today’s close is below yesterday’s five-day low, go long at the close.
2. Sell at the close when the two-day RSI closes above 50.
3. There is a time stop of five days if the sell criterium is not triggered.
If you backtest it on Mini Futures SP500 you will be able to track data from 1993. It is important to select D1 as timeframe.
Please share any comment or idea below.
Have a good trading,
Ramón.
Chandelier Exit ZLSMA StrategyIntroducing a Powerful Trading Indicator: Chandelier Exit with ZLSMA
If you're a trader, you know the importance of having the right tools and indicators to make informed decisions. That's why we're excited to introduce a powerful new trading indicator that combines the Chandelier Exit and ZLSMA: two widely-used and effective indicators for technical analysis.
The Chandelier Exit (CE) is a popular trailing stop-loss indicator developed by Chuck LeBeau. It's designed to follow the price trend of a security and provide an exit signal when the price crosses below the CE line. The CE line is based on the Average True Range (ATR), which is a measure of volatility. This means that the CE line adjusts to the volatility of the security, making it a reliable indicator for trailing stop-losses.
The ZLEMA (Zero Lag Exponential Moving Average) is a type of exponential moving average that's designed to reduce lag and improve signal accuracy. The ZLSMA takes into account not only the current price but also past prices, using a weighted formula to calculate the moving average. This makes it a smoother indicator than traditional moving averages, and less prone to giving false signals.
When combined, the CE and ZLSMA create a powerful indicator that can help traders identify trend changes and make more informed trading decisions. The CE provides the trailing stop-loss signal, while the ZLSMA provides a smoother trend line to help identify potential entry and exit points.
In our indicator, the CE and ZLSMA are plotted together on the chart, making it easy to see both the trailing stop-loss and the trend line at the same time. The CE line is displayed as a dotted line, while the ZLSMA line is displayed as a solid line.
Using this indicator, traders can set their stop-loss levels based on the CE line, while also using the ZLSMA line to identify potential entry and exit points. The combination of these two indicators can help traders reduce their risk and improve their trading performance.
In conclusion, the Chandelier Exit with ZLSMA is a powerful trading indicator that combines two effective technical analysis tools. By using this indicator, traders can identify trend changes, set stop-loss levels, and make more informed trading decisions. Try it out for yourself and see how it can improve your trading performance.
Warning: The results in the backtest are from a repainting strategy. Don't take them seriously. You need to do a dry live test in order to test it for its useability.
-
Here is a description of each input field in the provided source code:
length: An integer input used as the period for the ATR (Average True Range) calculation. Default value is 1.
mult: A float input used as a multiplier for the ATR value. Default value is 2.
showLabels: A boolean input that determines whether to display buy/sell labels on the chart. Default value is false.
isSignalLabelEnabled: A boolean input that determines whether to display signal labels on the chart. Default value is true.
useClose: A boolean input that determines whether to use the close price for extrema calculations. Default value is true.
zcolorchange: A boolean input that determines whether to enable rising/decreasing highlighting for the ZLSMA (Zero-Lag Exponential Moving Average) line. Default value is false.
zlsmaLength: An integer input used as the length for the ZLSMA calculation. Default value is 50.
offset: An integer input used as an offset for the ZLSMA calculation. Default value is 0.
-
Ty for checking this out and good luck on your trading journey! Likes and comments are appreciated. 👍
--
Credits to:
▪ @everget – Chandelier Exit (CE)
▪ @netweaver2022 – ZLSMA
Simple Bollinger Bands Strategy [JoseMetal]============
ENGLISH
============
- Description:
This is a simple strategy based on Bollinger Bands found in "journeymaninvestor.com" by "nealosis" in 15 feb 2021, original strategy and credits to him.
The original strategy:
- Bollinger Bands, 20 length simple moving average and 2 standard deviations.
- Buy when the closing price crosses the lower band up.
- Exit trade when the closing price touches the upper band.
This strategy worked on mayor indices such as SP500 before the current economic crisis, because those indices just retrace to continue up and up. That's why after testing it on the current data and other markets the strategy is NO longer viable and I made some optimizations to it.
The modified strategy:
- Now you can LONG and SHORT, not only LONG, but depending on the asset (mainly bullish like BTC or Indices) is better to just BUY.
- You can customize BB length and deviation, a deviation of 1.5 triggers more trades and is usually better.
- Averaging added, by default you can have up to 7 positions at 1% capital each, but all is customizable.
Other extra stuff:
- Able to pick a date range.
- Able to pick % of capital used on each trade.
- Able to close trades ON PROFIT ONLY.
- Able to increase position ONLY if the price is a certain percentage better than your average.
- Able to pick a leverage.
- Visual:
Bollinger Bands are shown.
On LONG entries you get a green background color, red for SHORTs, olive to close LONG and orange to close SHORT.
Position entries/exists with contract size are shown by TradingView by default as usual.
- Customization:
Everything is customizable, from date range to BB colors.
- Usage and recommendations:
Works better on bigger timeframes, daily is the best.
Enjoy!
============
INGLÉS
============
- Descripción:
Esta es una simple estrategia basada en las Bandas de Bollinger encontrada en "journeymaninvestor.com" por "nealosis" en el 15 de febrero de 2021, estrategia original y créditos a él.
La estrategia original:
- Bandas de Bollinger, media móvil simple de 20 y 2 desviaciones estándar.
- Comprar cuando el precio de cierre cruza la banda inferior hacia arriba.
- Salir de la posición cuando el precio de cierre toca la banda superior.
Esta estrategia funcionaba en índices mayores como el SP500 antes de la crisis económica actual, porque esos índices sólo retroceden para seguir subiendo y subiendo. Por eso después de probarla con los datos actuales y otros mercados la estrategia ya NO es viable y le hice algunas optimizaciones.
La estrategia modificada:
- Ahora puedes operar LONG y SHORT, no solo LONG, pero dependiendo del activo (principalmente alcistas como BTC o Índices) es mejor solo COMPRAR.
- Se puede personalizar la longitud de BB y la desviación, una desviación de 1,5 desencadena más operaciones y suele ser mejor.
- Promedio añadido, por defecto puedes tener hasta 7 posiciones al 1% de capital cada una, pero todo es personalizable.
Otras cosas extra:
- Posibilidad de elegir un rango de fechas.
- Posibilidad de elegir el % de capital utilizado en cada operación.
- Posibilidad de cerrar operaciones SÓLO CON BENEFICIO.
- Posibilidad de aumentar la posición sólo si el precio es un cierto porcentaje mejor que su promedio.
- Posibilidad de elegir un apalancamiento.
- Visual:
Se muestran las Bandas de Bollinger.
En las entradas de LARGO se obtiene un color de fondo verde, rojo para CORTO, oliva para cerrar LARGO y naranja para cerrar CORTO.
Las entradas/existencias de posiciones con tamaño de contrato son mostradas por TradingView por defecto como es habitual.
- Personalización:
Todo es personalizable, desde el rango de fechas hasta los colores de BB.
- Uso y recomendaciones:
Funciona mejor en marcos de tiempo más grandes, diario es el mejor.
¡Que lo disfrutes!
[pAulseperformance] PSStrategyX█ OVERVIEW
This script reduces the amount of time it takes to turn your indicator into a live trading bot.
It will convert your signals into alerts that will be sent to your exchange for trading.
The script features a broker connector to automate alert syntax and connect with third-party exchanges to live trade strategies with minimal setup.
It also includes an enhanced version of the built-in backtester with customizable options to speed up backtesting, trade-by-trade statistics, and a chart strategy summary to help traders make informed decisions.
The PSStrategyX trading tool is designed to provide traders with a range of benefits, including:
Increased confidence in their strategies.
Better understanding of the accuracy of indicator signals.
Simplified automated trading through third-party broker connections.
Reduced time to develop strategies by focusing on signal development only. No need to work with complicated strategy testing code and 3rd party automation.
█ FEATURES
Broker Connector
— Supports Autoview (More Connectors added in the future)
— Connects and auto trades with most exchanges
— No need for Webhooks (AutoView)
— Can forward test live strategies on Testnets before using real money.
Built in Backtester loaded with options to speed up backtesting
— Standard strategy features including stop loss, take profit, and various filters reduce the time and complexity involved in building a working strategy.
Trade By Trade Statistics
— Gain insight on every trade with additional trade-by-trade statistics.
Strategy Summary
— Get instant feedback on your chart of your strategies performance. Visual cues and feedback give you hints on where to look and what to improve.
Strategy Tester Enhancements
— Take the max trades allowed in the strategy tester without errors.
— Take the largest or smallest trade allowed without errors.
█ WHY?
The PSStrategyX tool was developed to solve a common problem faced by traders who use Pine Script on TradingView: the inability to integrate Pine Script with exchanges through TradingView.
Without this integration, traders need to go through several extra steps to live trade their Pine Script strategies on a real exchange with real money. This includes finding a broker, learning the new syntax for the broker, and placing that syntax correctly in the strategy.
These steps can be time-consuming and add complexity to the codebase.
The PSStrategyX tool simplifies this process by automatically configuring the correct alert syntax to connect to third-party exchanges, allowing traders to live trade their strategies with minimal setup. This saves traders time and effort, allowing them to focus on signal development rather than complicated strategy testing code and 3rd party automation.
Additionally, the tool was developed to address the time-consuming task of converting any one of the thousands of great free indicators on TradingView to strategies through hours of coding.
Overall, I built the PSStrategyX to streamline the auto trading process and make auto trading more accessible to traders of all levels.
█ HOW TO USE THIS?
Using the PSStrategyX trading tool is a straightforward process that requires a few key steps:
1 — Generate trading signals: You need a signal generator that can provide buy and sell signals for your preferred trading instrument(s).
You can use TradingView's indicators or create your own custom indicators using TradingView's Pine programming language.
2 — Connect trading signals to PSStrategyX: You will use 2 scripts on your chart. One generates buy/sell/exit signals, and the other is the PSStrategyX script executing those signals as trades.
To set this up you will need to make sure that your signal generator is an indicator, NOT a strategy.
Make sure the signals are being plotted buy = 1; sell = -1; exit = 0; signals in one plot. Exits are optional.
Example plot(buy ? 1 : sell ? -1 : exit ? 0 : na)
You will choose the plot with buy/sell/exit signals inside the PSStrategyX tool to execute trades. If you need help, check out the docs for more details.
3 — Set up the broker connector (optional): If you want to take live trades with this tool, you will need to set up a third party connecter. Once set up, everything is automated. See more details in the "authors instructions." at the bottom of this post.
4 — Set up an exchange account (optional): If you want to trade on an exchange, you will need to set up an account with the exchange you plan to use.
The Broker Connector supports a range of popular exchanges, including Binance, Bitfinex, Kraken, Oanda and more.
Once you have generated your trading signals, set up the Broker connecter (optional) and set up an exchange account (optional), you can start using the PSStrategyX trading tool to execute trades automatically based on your trading signals.
█ LIMITATIONS
Here are some important limitations to keep in mind when using the PSStrategyX trading tool:
General:
— Once the alert is sent, there is no way to monitor positions on any exchange. The order will be processed by the broker connector and sent to the exchange.
While this usually works fine, it's important to check the log for errors.
Sometimes the broker connector may fail to process the order, or the exchange may not process it for various reasons.
— The tool sends TP/SL orders with the entry order when possible to protect your order in case of errors or if you lose a connection.
However, not all exchanges accept TP/SL orders, and sometimes your entry order will be left unprotected.
FIFO:
— This tool DOES NOT support the First In First Out (FIFO) method for closing positions.
— Instead, it uses the ANY method. There currently is no way to make this variable.
█ FAQ
What does PSStrategyX do exactly?
PSStrategyX is a strategy enhancing, backtester, forwardtester, automation and simulation tool. It's NOT a signal generator, and does not produce buy/sell signals by itself. You provide buy/sell signals, and PSStrategyX will put those signals on steroids...basically.
PSStrategyX helps you figure out what indicators actually work. Without wasting time learning how to code.
Why did you choose AutoView for this tool?
AutoView offered the best integration I could find. They allow you to connect to test exchanges for free, which is great for practicing without using real money. They also work without using webhooks, which means you can live trade without paying for Tradingview pro. Additionally, AutoView supports many different exchanges. I don't work for AutoView, but if you sign up through my referral link and purchase a paid version, I earn a commission.
Why doesn't Tradingview automatically connect Pine Script to exchanges?
This is a great question, but unfortunately I don't have the answer. It would definitely be helpful if Tradingview provided this feature, but it might also put some brokers out of business.
How do I get access?
DON'T ask for access in the comments.
DO review the "Authors Instructions" on this page for details.
Backtest AdapterThis is a proof-of-concept Backtest Adapter that can be used with my recent publication "Machine Learning: Lorentzian Classification" located here:
This adapter is helpful because it enables interactive backtesting with TradingView's built-in "Strategy Tester" framework without the need to translate the logic from an "indicator" script to a "strategy" script.
To use this, one must have the "Machine Learning: Lorentzian Classification" script and this Backtest Adapter open simultaneously on the same chart. From there, simply change the "Source" setting of the Backtest Adapter to "Lorentzian Classification: Backtest Stream" to transfer the entry/exit signals stream to the Backtest Adapter.
For an example of how to implement your own backtest stream in your indicators, please refer to the "Backtesting" section in the source code of the "Machine Learning: Lorentzian Classification" script, which is shown below for convenience:
Reinforced RSI - The Quant Science This strategy was designed and written with the goal of showing and motivating the community how to integrate our 'Probabilities' module with their own script.
We have recreated one of the simplest strategies used by many traders. The strategy only trades long and uses the overbought and oversold levels on the RSI indicator.
We added stop losses and take profits to offer more dynamism to the strategy. Then the 'Probabilities' module was integrated to create a probabilistic reinforcement on each trade.
Specifically, each trade is executed, only if the past probabilities of making a profitable trade is greater than or equal to 51%. This greatly increased the performance of the strategy by avoiding possible bad trades.
The backtesting was calculated on the NASDAQ:TSLA , on 15 minutes timeframe.
The strategy works on Tesla using the following parameters:
1. Lenght: 13
2. Oversold: 40
3. Overbought: 70
4. Lookback: 50
5. Take profit: 3%
6. Stop loss: 3%
Time period: January 2021 to date.
Our Probabilities Module, used in the strategy example:
iMoku (Ichimoku Complete Tool) - The Quant Science iMoku™ is a professional all-in-one solution for the famous Ichimoku Kinko Hyo indicator.
The algorithm includes:
1. Backtesting spot
2. Visual tool
3. Auto-trading functions
With iMoku you can test four different strategies.
Strategy 1: Cross Tenkan Sen - Kijun Sen
A long position is opened with 100% of the invested capital ($1000) when "Tenkan Sen" crossover "Kijun Sen".
Closing the long position on the opposite condition.
There are 3 different strength signals for this strategy: weak, normal, strong.
Weak : the signal is weak when the condition is true and the price is above the 'Kumo'
Normal : the signal is normal when the condition is true and the price is within the 'Kumo'
Strong : the signal is strong when the condition is true and the price is below the 'Kumo'
Strategy 2: Cross Price - Kijun Sen
A long position is opened with 100% of the invested capital ($1000) when the price crossover the 'Kijun Sen'.
Closing the long position on the opposite condition.
There are 3 different strength signals for this strategy: weak, normal, strong.
Weak : the signal is weak when the condition is true and the price is above the 'Kumo'
Normal : the signal is normal when the condition is true and the price is inside the 'Kumo'
Strong : the signal is strong when the condition is true and the price is below the 'Kumo'
Strategy 3: Kumo Breakout
A long position is opened with 100% of the invested capital ($1000) when the price breakup the 'Kumo'.
Closing the long position with a percentage stop loss and take profit on the invested capital.
Strategy 4: Kumo Twist
A long position is opened with 100% of the invested capital ($1000) when the 'Kumo' goes from negative to positive (called "Twist").
Closing the long position on the opposite condition.
There are 2 different strength signals for this strategy: weak, and strong.
Weak : the signal is weak when the condition is true and the price is above the 'Kumo'
Strong : the signal is strong when the condition is true and the price is below the 'Kumo'
This script is compliant with algorithmic trading.
You can use this script with trading terminals such as 3Commas or CryptoHopper. Connecting this script is very easy.
1. Enter the user interface
2. Select and activate a strategy
3. Copy your bot's links into the dedicated fields
4. Create and activate alert
Disclaimer: algorithmic trading involves risk, the user should consider aspects such as slippage, liquidity and costs when evaluating an asset. The Quant Science is not responsible for any kind of damage resulting from use of this script. By using this script you take all the responsibilities and risks.
Three Bars Play Strategy [JoseMetal]============
ENGLISH
============
- Description:
This strategy is based on two simple candlestick patterns (you can pick between 2 variants) with an extra option to require trigger candles to be opposite to the closing one (explained below).
There are several customizable settings such as take profit, stop loss and break even (all based on ATR).
You can customize starting and ending date for the testings.
Other options such as allow switch position if strategy SHORTs when you are LONG and vice versa.
There's an additional optional EMA filter.
- LONG / SHORT ENTRY:
Original pattern: for LONG, current candle must close ABOVE the HIGH of previous candle and the candle 3 positions back, opposite conditions for SHORT.
Variant pattern: for LONG, the current candle must close ABOVE the HIGH of the previous candle and the candle before that one too, opposite conditions for SHORT.
Optional: require the trigger candles to be opposite, ex: for LONG you need the previous candles to be RED (bearish).
Optional: EMA filter, price must be ABOVE for LONGs, below for SHORTs.
- EXIT CONDITION:
Stop Loss or Take Profit, based on ATR.
- Visual:
The script prints the Take Profit as a GREEN line, Stop Loss as a RED line and entry price with a WHITE line.
If enabled, the Break Even required price is BLUE, and the new Stop Loss level (for break even or protecting profit) is AQUA.
- Recommendations:
This strategy is great on DAILY on most assets, including crypto, forex and gold.
12H seems to work in most cases, lower timeframes are worse.
- Customization:
You can customize indicator settings (ATR, EMA...).
Stop Loss and Take Profit ATR multipliers are also customizable.
The break even is optional, required level and break even levels (also based on ATR) are custom too.
Almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
============
ESPAÑOL
============
- Descripción:
Ésta estrategia se basa en dos patrones simples de velas (puedes elegir entre 2 variantes) con una opción extra para requerir que las velas de activación sean opuestas a la de cierre (se explica más adelante).
Hay varios ajustes personalizables como el take profit, el stop loss y el break even (todos basados en el ATR).
Puedes personalizar la fecha de inicio y finalización de las pruebas.
Otras opciones como permitir el cambio de posición si la estrategia cambie a SHORT cuando está LONG y viceversa.
Hay un filtro de EMA opcional adicional.
- ENTRADA LARGA / CORTA:
Patrón original: para LONG, la vela actual debe cerrar POR ENCIMA del ALTO de la vela anterior y de la vela 3 posiciones atrás, condiciones opuestas para SHORT.
Patrón variante: para LONG, la vela actual debe cerrar POR ENCIMA del ALTO de la vela anterior y la vela anterior a esa también, condiciones opuestas para SHORT.
Opcional: requiere que las velas de activación sean opuestas, por ejemplo: para LONG requiere que las velas anteriores sean ROJAS (bajistas).
Opcional: fltro EMA, el precio debe estar POR ENCIMA para los LONGs, por debajo para los SHORTs.
- CONDICIÓN DE SALIDA:
Stop Loss o Take Profit, basado en el ATR.
- Visual:
El script dibuja el Take Profit como una línea VERDE, el Stop Loss como una línea ROJA y el precio de entrada con una línea BLANCA.
Si está habilitado, el precio de break even requerido es AZUL, y el nuevo nivel de Stop Loss (para el break even o asegurar ganancias) es CELESTE.
- Recomendaciones:
Ésta estrategia es estupenda en DIARIO en la mayoría de los activos, incluyendo criptos, fórex y oro.
En 12H parece funcionar en la mayoría de los casos, las temporalidades inferiores son peores.
- Personalización:
Puedes personalizar la configuración de los indicadores (ATR, EMA...).
Los multiplicadores de Stop Loss y Take Profit ATR también son personalizables.
El break even es opcional, el nivel requerido y los niveles de break even (también basados en ATR) son personalizables también.
Casi todo es personalizable, para los colores y estilos de trazado compruebe la pestaña "Estilo".
¡Que lo disfrutes!
Double SuperTrend Strategy [JoseMetal]============
ENGLISH
============
- Description:
This is a simple strategy using 2 SuperTrends, a larger one for entries and smaller for Stop Loss, Take Profit is calculated via risk reward custom setting.
The strategy has several customizable options, which allows you to refine the strategy for your asset and timeframe.
You can customize settings for both SuperTrends, as well as the risk to reward ratio, starting date, ending date and more.
- LONG / SHORT ENTRY:
Both SuperTrends agree on the trend direction, both green = bullish = LONG, both red = bearish = SHORT.
- EXIT CONDITION:
Stop Loss or Take profit, however, there's an option (activated by default) to change position if entry conditions reverse.
- Visual:
Both SuperTrends are plotted.
The script prints the Take Profit as a green line, Stop Loss as a red line and entry price with a white line.
- Recommendations:
Depending on the asset, the strategy works from 1H to daily, feel free to test it on your favorite asset.
The strategy settings are good for crypto by default.
- Customization:
As you can see, almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
============
ESPAÑOL
============
- Descripción:
Esta es una estrategia sencilla que utiliza 2 SuperTrends, uno mayor para las entradas y otro menor para el Stop Loss, el Take Profit se calcula a través de la configuración personalizada de riesgo-beneficio.
La estrategia tiene varias opciones personalizables, lo que le permite refinar la estrategia para tu activo y marco de tiempo.
Puedes personalizar los ajustes para ambos SuperTrends, así como la relación riesgo-beneficio, la fecha de inicio, la fecha de finalización y más.
- ENTRADA EN LARGO/CORTO:
Ambos SuperTrends coinciden en la dirección de la tendencia, ambos verdes = alcista = LONG, ambos rojos = bajista = SHORT.
- CONDICIÓN DE SALIDA:
Stop Loss o Take profit, sin embargo, hay una opción (activada por defecto) para cambiar de posición si las condiciones de entrada se invierten.
- Visual:
Ambos SuperTrends son dibujados.
El script dibuja el Take Profit como una línea verde, el Stop Loss como una línea roja y el precio de entrada con una línea blanca.
- Recomendaciones:
Dependiendo del activo, la estrategia funciona de 1H a diario, siéntete libre de probarlo en tu activo favorito.
La configuración de la estrategia es buena para criptos por defecto.
- Personalización:
Como puedes ver, casi todo es personalizable, para colores y estilos de trazado revisa la pestaña "Estilo".
¡Que lo disfrutes!
MACD MTF Strategy [JoseMetal]============
ENGLISH
============
- Description:
This strategy uses my indicator MACD MTF (check my profile) to generate entries, it also has ATR to define Stop Loss and Take Profit if needed.
The strategy has several customizable options, which allows you to refine the strategy for your asset and timeframe.
You can customize settings for ALL indicator settings (MACD MTF and ATR).
- CUSTOM CONDITIONS TO ENTER A POSITION:
1. Both MACDs agree (current timeframe and higher timeframe).
2. Current timeframe MACD crossover.
3. Higher timeframe MACD crossover.
4. MACDs no longer agree with each other.
- EXIT CONDITION:
1. Predefined Stop Loss and Take Profit based on ATR (stop can be previous wick).
2. MACDs no longer agree with each other.
3. Opposite position entry.
- STOP LOSS TYPE:
1. ATR.
2. Previous wick.
- OTHER OPTIONS:
You can customize any setting for my MACD MTF and ATR.
- Visual:
ATR is shown for the Stop Loss / Take Profit.
The script prints the Take Profit as a green line, Stop Loss as a red line and entry price with a white line.
- Recommendations:
Recommended on 8H or 12H timeframe for the CURRENT timeframe, while using DAILY for the higher timeframe on the MACD MFT (by default).
Entry when BOTH MACDs agree and exit on opposite entry, this has NO TAKE PROFIT or STOP LOSS, so be careful, but gives the BEST profit overall, and being on 8H/12H + Daily lets you relax.
- Customization:
As you can see, almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
============
ESPAÑOL
============
- Descripción:
Esta estrategia utiliza mi indicador MACD MTF (revisa mi perfil) para generar entradas, también cuenta con ATR para definir Stop Loss y Take Profit si es necesario.
La estrategia tiene varias opciones personalizables, lo te le permiten refinar la estrategia para te activo y temporalidad.
Puedes personalizar la configuración de TODOS los indicadores (MACD MTF y ATR).
- CONDICIONES PERSONALIZADAS PARA ENTRAR EN UNA POSICIÓN:
1. Ambos MACDs coinciden (temporalidad actual y temporalidad superior).
2. Cruce del MACD en el marco de tiempo actual.
3. Cruce del MACD en el marco temporal superior.
4. Los MACD ya no coinciden entre sí (están en desacuerdo).
- CONDICIÓN DE SALIDA:
1. Stop Loss y Take Profit predefinidos basados en el ATR (el stop puede ser la mecha anterior).
2. Los MACDs ya no coinciden entre sí (están en desacuerdo).
3. Entrada en posición contraria.
- TIPO DE STOP LOSS:
1. ATR.
2. Mecha anterior.
- OTRAS OPCIONES:
Puede personalizar cualquier ajuste para mi MACD MTF y ATR.
- Visual:
El ATR se muestra para el Stop Loss / Take Profit.
El script imprime el Take Profit como una línea verde, el Stop Loss como una línea roja y el precio de entrada con una línea blanca.
- Recomendaciones:
Se recomienda en el marco de tiempo 8H o 12H para el marco de tiempo ACTUAL, mientras que se utiliza DIARIO para el marco de tiempo superior en el MACD MFT (por defecto).
Entrar cuando AMBOS MACDs están de acuerdo y salir en la entrada opuesta, esto no tiene TAKE PROFIT o STOP LOSS, así que tenga cuidado, pero da el MEJOR beneficio en general, y estar en 8H/12H + Diario le permite relajarse.
- Personalización:
Como puedes ver, casi todo es personalizable, para colores y estilos de trazado revisa la pestaña "Estilo".
¡Que lo disfrutes!
Gaussian Filter ModifiedAn effort to enhance auto-trading based on Gaussian Filter with Standard Deviation Filtering, Trading True Range and Smoothed SMA was added to remove noise contributing to ranging markets and unwanted entries against established trend.
Gaussian parameters need to be adjusted for different asset pair to find its own "signature", then filter out bad entry with TTR and SMA.
*Credits to Loxx for his work on Gaussian Filter
Channels Strategy [JoseMetal]============
ENGLISH
============
- Description:
This strategy is based on Bollinger Bands / Keltner Channel price "rebounds" (the idea of price bouncing from one band to another).
The strategy has several customizable options, which allows you to refine the strategy for your asset and timeframe.
You can customize settings for ALL indicators, Bollinger Bands (period and standard deviation), Keltner Channel (period and ATR multiplier) and ATR (period).
- AVAILABLE INDICATORS:
You can pick Bollinger Bands or Keltner Channels for the strategy, the chosen indicator will be plotted as well.
- CUSTOM CONDITIONS TO ENTER A POSITION:
1. Price breaks the band (low below lower band for LONG or high above higher band for SHORT).
2. Same as 1 but THEN (next candle) price closes INSIDE the bands.
3. Price breaks the band AND CLOSES OUT of the band (lower band for LONG and higher band for SHORT).
4. Same as 3 but THEN (next candle) price closes INSIDE the bands.
- STOP LOSS OPTIONS:
1. Previous wick (low of previous candle if LONG and high or previous candle if SHORT).
2. Extended band, you can customize settings for a second indicator with larger values to use it as STOP LOSS, for example, Bollinger Bands with 2 standard deviations to open positions and 3 for STOP LOSS.
3. ATR: you can pick average true ratio from a source (like closing price) with a multiplier to calculate STOP LOSS.
- TAKE PROFIT OPTIONS:
1. Opposite band (top band for LONGs, bottom band for SHORTs).
2. Moving average: Bollinger Bands simple moving average or Keltner Channel exponential moving average .
3. ATR: you can pick average true ratio from a source (like closing price) with a multiplier to calculate TAKE PROFIT.
- OTHER OPTIONS:
You can pick to trade only LONGs, only SHORTs, both or none (just indicator).
You can enable DYNAMIC TAKE PROFIT, which updates TAKE PROFIT on each candle, for example, if you pick "opposite band" as TAKE PROFIT, it'll update the TAKE PROFIT based on that, on every single new candle.
- Visual:
Bands shown will depend on the chosen indicator and it's settings.
ATR is only printed if used as STOP LOSS and/or TAKE PROFIT.
- Recommendations:
Recommended on DAILY timeframe , it works better with Keltner Channels rather than Bollinger Bands .
- Customization:
As you can see, almost everything is customizable, for colors and plotting styles check the "Style" tab.
Enjoy!
============
ESPAÑOL
============
- Descripción:
Esta estrategia se basa en los "rebotes" de precios en las Bandas de Bollinger / Canal de Keltner (la idea de que el precio rebote de una banda a otra).
La estrategia tiene varias opciones personalizables, lo que le permite refinar la estrategia para su activo y temporalidad favoritas.
Puedes personalizar la configuración de TODOS los indicadores, Bandas de Bollinger (periodo y desviación estándar), Canal de Keltner (periodo y multiplicador ATR) y ATR (periodo).
- INDICADORES DISPONIBLES:
Puedes elegir las Bandas de Bollinger o los Canales de Keltner para la estrategia, el indicador elegido será mostrado en pantalla.
- CONDICIONES PERSONALIZADAS PARA ENTRAR EN UNA POSICIÓN:
1. El precio rompe la banda (mínimo por debajo de la banda inferior para LONG o máximo por encima de la banda superior para SHORT).
2. Lo mismo que en el punto 1 pero ADEMÁS (en la siguiente vela) el precio cierra DENTRO de las bandas.
3. El precio rompe la banda Y CIERRA FUERA de la banda (banda inferior para LONG y banda superior para SHORT).
4. Igual que el 3 pero ADEMÁS (siguiente vela) el precio cierra DENTRO de las bandas.
- OPCIONES DE STOP LOSS:
1. Mecha anterior (mínimo de la vela anterior si es LONGy máximo de la vela anterior si es SHORT).
2. Banda extendida, puedes personalizar la configuración de un segundo indicador con valores más extensos para utilizarlo como STOP LOSS, por ejemplo, Bandas de Bollinger con 2 desviaciones estándar para abrir posiciones y 3 para STOP LOSS.
3. ATR: puedes elegir el average true ratio de una fuente (como el precio de cierre) con un multiplicador para calcular el STOP LOSS.
- OPCIONES DE TAKE PROFIT:
1. Banda opuesta (banda superior para LONGs, banda inferior para SHORTs).
2. Media móvil: media móvil simple de las Bandas de Bollinger o media móvil exponencial del Canal de Keltner .
3. ATR: se puede escoger el average true ratio de una fuente (como el precio de cierre) con un multiplicador para calcular el TAKE PROFIT.
- OTRAS OPCIONES:
Puedes elegir operar sólo con LONGs, sólo con SHORTs, ambos o ninguno (sólo el indicador).
Puedes activar el TAKE PROFIT DINÁMICO, que actualiza el TAKE PROFIT en cada vela, por ejemplo, si eliges "banda opuesta" como TAKE PROFIT, actualizará el TAKE PROFIT basado en eso, en cada nueva vela.
- Visual:
Las bandas mostradas dependerán del indicador elegido y de su configuración.
El ATR sólo se muestra si se utiliza como STOP LOSS y/o TAKE PROFIT.
- Recomendaciones:
Recomendada para temporalidad de DIARIO, funciona mejor con los Canales de Keltner que con las Bandas de Bollinger .
- Personalización:
Como puedes ver, casi todo es personalizable, para los colores y estilos de dibujo comprueba la pestaña "Estilo".
¡Que lo disfrutes!
