GRID SPOT TRADING ALGORITHM - GRID BOT TRADING STRATEGYGRID SPOT TRADING ALGORITHM : LONG ONLY STRATEGY OPEN SOURCE
This is a long only strategy for spot assets.
HOW IT WORKS
Grid trading is a trading strategy where an investor creates a so-called "price grid". The basic idea of the strategy is to repeatedly buy at the pre-specified price and then wait for the price to rise above that level and then sell the position (and vice versa with shorting or hedging).
FEATURES
Grids: This algorithm has a total of 10 grids.
Take profit: The trader can increase or decrease the distance between the grids from the User Interface panel, the distance between one grid and another represents the take profit.
Management: The algorithm buys 10% of the capital every time the price breaks down a grid and sells during a rise to the next higher grid. The initial capital is invested in 10 sizes which represent 10% of the capital per trade.
Stop Loss: The algorithm knows no stop loss as long as it is not activated from the User Interface panel. By activating the stop loss from the User Interface panel the algorithm will insert a close condition on all trades which will be calculated from the last lower grid.
Trades: Trades are opened only if the price is within the grid. If the market leaves the grid the algorithm will not buy new positions or sell new positions.
Optimal market conditions: The favorable market for this algorithm is the sideways market.
LIMITATIONS OF THE MODEL
The trader must take into account that this is a static model. It only works perfectly well if the market is in a sideways phase and incurs heavy losses if the market takes a downward trend. The model is unusable for an uptrend. The trader must therefore carefully analyze the market where he intends to use this strategy, making sure that the price is in a sideways phase.
USES
Indispensable research and backtesting tool for those using bots for their investments. The algorithm produces a backtesting of the strategy for past history. It is used by professional traders to understand if this strategy has been profitable on a market and what parameters to use for bots using this strategy (Kucoin, Binance etc.).
If you would like to develop your own algorithm with customized conditions based on a grid strategy, please contact us.
If you need help in using this tool, please contact us without hesitation.
Strategy
Saturday Strategy BTC By KziI take the hypothèse that saturday is the most stable day of the week because, no SP500, no fed announcement and no weekly closure.
My Strategy is very simple:
Take the friday color (Red = Short // Green = Long)
Then open at the friday close price
Take a small pourcentage (1 or 2 %) then close.
What ever close on midnight.
Work Well on the 1h chart.
The Yellow is the saturday.
Maybe we can add the monthly close information to avoid opening trade on saturday if we are at this event.
Enjoy and give me your comment.
Kzi
MicroStrategy MetricsA script showing all the key MSTR metrics. I will update the script every time degen Saylor sells some more office furniture to buy BTC.
All based around valuing MSTR, aside from its BTC holdings. I.e. the true market cap = enterprise value - BTC holdings. Hence, you're left with the value of the software business + any premium/discount decided by investors.
From this we can derive:
- BTC Holdings % of enterprise value
- Correlation to BTC (in this case we use CME futures...may change this)
- Equivalent Share Price (true market cap divided by shares outstanding)
- P/E Ratio (equivalent share price divided by quarterly EPS estimates x 4)
- Price to FCF Ratio (true market cap divided by FCF (ttm))
- Price to Revenue (^ but with total revenue (ttm))
Loft Strategy V4This strategy is an advanced version of the Loft Strategy V1, I shared earlier. (Loft Strategy V1 consists of a kalman filter (by alexgrover ) and a "stop and reverse" line which is following and the kalman filter. If the price goes in the same direction as the position side, the "stop and reverse" line approaches the kalman filter as set on the "Approach Decrease Step" parameter.)
In addition to the previous version, it includes a martingale like deviation and multiple take-profit.
Here it is some parameters definitions of the strategy:
Kalman Filter: The higher this parameter, the faster and more aggressive the filter. Otherwise the filter goes very smoothly
Beginning Approach: First approximation as a percentage of stop-n-reverse line
Final Approach: Minimum approximation of stop-n-reverse line
Approach Decrease Step: If the price moves in the same direction as the strategy, the approach percentage is reduced by this parameter. Otherwise nothing do
Base Order Quantity: Initial capital of position
Max Safe Order Attempt: This parameter determines the maximum number of times the strategy will raise the bet after losing in a row.
Safe Order Deviation: if the last trade is loss, multiply the bet by this parameter (aka. martingale factor)
Profit Deviation: if last trade in loss, multiply the take-profit points
Max Order Quantity: Maximum capital allowed for a position
TP1, TP2, TP3 : Take profit spots in percentage
QT1, QT2, QT3: Amount of take-profit spots
Stop Loss: Maximum stop loss allowed for a trade
Long Entry, Short Entry: Only long side, only short side or both side
Safe Stop After TP2: If the price reaches the TP2 point, move the stop-loss point to the entry price.
Safe Stop After TP1: If the price reaches TP1, move the stop-loss point to the stop-n-reverse line.
Strategy LinReg ST@RLStrategy LinReg ST@RL
Strategy LinReg ST@RL is a visual trend following indicator.
It is compiled in PINE Script Version V5 language.
This indicator/strategy, based on Linear Regression Calculation, is intended to help beginners (and also the more experienced ones) to trade in the right direction of the market trend and test strategy. It allows you to avoid the mistakes of always trading against the trend.
Strategy based on an original idea of @KivancOzbilgic (SuperTrend) and DevLucem (@LucemAnb) (Lin Reg ++)
A special credit goes to - KivancOzbilgic and @LucemAnb which inspired me a lot to improve this indicator/Strategy.
This indicator can be configured to your liking,according to your needs or your tastes.
The indicator/Strategy works in multi time frame.
The settings (length, offset, deviation, smoothing) are identical for all time frames if “Conf Auto” is not checked.
In this case the default settings (time frame=H1 settings) apply for all time frames.
The choice of source setting is common for all time frames.
If “Auto Conf” is checked,
then the settings will be optimized for each selected time frame (1m-3m H2 H3 H1 H4 & Daily). Time frames, other than 1m-3m H2 H3 H1 H4 & Daily will be affected with the default settings corresponding to the H1 time frame and will therefore not be optimized! The default setting values of each time frame (1m-3m H2 H3 H1 H4 & Daily) can be configured differently and optimized by you.
REVERSAL mode: Signal Buy=Sell and Signal Sell=Buy.
This option may be better than the regular strategy. Default mode is Reversal option.
Note that only for 1m (1 minute) Time frame, the option REVERSAL is opposite as default choice in configuration. (If reversal option is checked, then option for time frame 1m is not reversal!)
Trend indications (potential sell or buy areas) are displayed as a background color (bullish: green or bearish: red), assume that the market is moving in one direction.
You can tune the input, style and visibility settings to match your own preferences or habits.
Label Info (Simple or Full) gives trend info for each Exit (or current trade)
The choice of indicator colors is suitable for a graph with a "dark" theme, which you will probably need to modify for visual comfort, if you are using a "Light" mode or a custom mode.
This script is an indicator that you can run on standard chart types. It also works on non-standard chart types but the results will be skewed and different.
Non-standard charts are:
• Heikin Ashi (HA)
• Renko
• Kagi
• Point & Figure
• Range
As a reminder: No indicator is capable of providing accurate signals 100% of the time. Every now and then, even the best will fail, leaving you with a losing deal. Whichever indicator you base yourself on, remember to follow the basic rules of risk management and capital allocation.
BINANCE:BTCUSDT
! Français !
Strategy LinReg ST@RL
Stratégie LinReg ST@RL est un indicateur visuel de suivi de tendance.
Il est compilé en langage PINE Script Version V5.
Stratégie basée sur une idée originale de @KivancOzbilgic (SuperTrend) et DevLucem (@LucemAnb) (Lin Reg ++) Un crédit spécial va à - KivancOzbilgic et @LucemAnb qui m'ont beaucoup inspiré pour améliorer cet indicateur/stratégie.
Cet indicateur/strategie, basé sur le calcul de régression linéaire, est destiné à aider les débutants (et aussi les plus expérimentés) à trader dans le bon sens de la tendance du marché et à tester la stratégie. Cela vous permet d'éviter les erreurs de toujours négocier à contre-courant.
Cet indicateur peut être configuré à votre guise, selon vos besoins ou vos goûts.
L'indicateur/Stratégie fonctionne sur plusieurs bases de temps.
Les réglages (longueur, décalage, déviation, lissage) sont identiques pour toutes les bases de temps si
« Conf Auto » n'est pas coché. Dans ce cas, les paramètres par défaut (intervalle de temps=paramètres H1) s'appliquent à toutes les bases de temps.
Le choix du réglage de la source est commun à toutes les bases de temps.
Si "Auto Conf" est coché, alors les paramètres seront optimisés pour chaque base de temps sélectionnée (1m-3m H2 H3 H1 H4 & Daily). Les bases de temps, autres que 1m-3m H2 H3 H1 H4 & Daily seront affectées par les paramètres par défaut correspondant à la base de temps H1 et ne seront donc pas optimisées ! Les valeurs de réglage par défaut de chaque période (1m-3m H2 H3 H1 H4 & Daily) peuvent être configurées différemment et optimisées par vous.
Mode REVERSAL : Signal Achat=Vente et Signal Vente=Achat. Cette option peut être meilleure que la stratégie habituelle. Le mode par défaut est l'option REVERSAL.
Notez que seulement pour la base de temps de 1m (1 minute), l'option REVERSAL est l’opposée du choix par défaut dans la configuration. (Si l'option REVERSAL est cochée, alors l'option pour la base de temps 1 m n'est pas REVERSAL !)
Les indications de tendance (zones potentielles de vente ou d'achat) sont affichées en couleur de fond (haussier : vert ou baissier : rouge), supposons que le marché évolue dans une direction. Vous pouvez ajuster les paramètres d'entrée, de style et de visibilité en fonction de vos propres préférences ou habitudes.
Les informations sur l'étiquette (simples ou complètes) donnent des informations sur de chaque clôture (ou position en cours)
Le choix des couleurs des indicateurs est adapté à un graphique avec un thème "sombre", qu'il vous faudra probablement modifier pour le confort visuel, si vous utilisez un mode "Clair" ou un mode personnalisé.
Ce script est un indicateur que vous pouvez exécuter sur des types de graphiques standard. Cela fonctionne également sur les types de graphiques non standard, mais les résultats seront faussés et différents.
Les graphiques non standard sont :
• Heikin Ashi (HA)
• Renko
• Kagi
• Point & Figure
• Range
Pour rappel : Aucun indicateur n'est capable de fournir des signaux précis 100% du temps. De temps en temps, même les meilleurs échoueront, vous laissant avec une affaire perdante. Quel que soit l'indicateur sur lequel vous vous basez, rappelez-vous de suivre les règles de base de la gestion des risques et de l'allocation du capital.
Kahlman HullMA / WT Cross StrategyA strategy created using Hull Moving Average and WT Cross .
Hull Moving Average turns green and WT Cross crossover this is a long. Otherwise short.
Stop Loss and Take Profit settings are available. You can set it to the level you want or turn it off.
According to my measurements, it shows the best performance in the 4-hour period. But you can find the best settings that are correct from the Strategy settings.
MadriEsta estrategia fue creada por mi, basándose en el indicador bollinger bands+rsi y una ema , forexstrategiesresources me lo pasó a codigo y despues fue publicado en ChartArt y en la pagina web de forexstrategiesresources.
Ahora este script lo he modificado para optimizarlo para BTC /USDT en la temporalidad de 1 hora, os invito a ir cambiando temporalidades y valores para conseguir la mayor rentabilidad y, al igual que yo lo publico en codigo abierto os invito a que pongáis vuestros ajustes en los comentarios.
Los ajustes que se pueden cambiar para buscar mayor rentabilidad son en primer lugar "lo que se puede cambiar desde el mismo grafico" los valores "A" y "B".
Además, en el codigo el valor "RSIoverSold" y el "RSIoverBought" por mi experencia con menos de 30 no suele ir bien y con mas de 70 tampoco, el rango adecuado es de 29 a 49, incluidos.
Yo no he trasteado mucho pero también os invito a cambiar la fuente de entrada de "close" a "high", "open", "low"...
Recomiendo para la configuración ACTUAL mismo símbolo, mismos valores operar las señales Short cuando el precio este por debajo de la EMA de 900 y operar las Long cuando este por encima.
En otros símbolos la cosa cambia, hay que adaptarlo a cada cosa.
multiple orders - strategy - educationalHi,
Here is a 'template', using array's, for multiple orders and different SL/TP levels per trade (This is an example with max 5 open trades)
The 'switch' makes sure that the first available position will be used,
for example, when 'L1' is closed in the past, and a buy condition is triggered, position 'L1' will be filled,
should it be that 'L1', 'L2', 'L3' are already filled, then position 'L4' will be filled, ...
An extra table is added with data of the trades
Be aware, the 'Buy and Hold' resembles the profit when 100% of the available equity has been bought at the time of the very first trade and sold now. On the other hand, the positions work with a % of equity, 20% per trade (5 x 20 = 100%)
You can see that every trade exits on its own terms, without interference of other trades
Important, this technique only works if in the strategy() function:
- close_entries_rule -> set at 'ANY'
- pyramiding is set at max amount of trades or higher (in this case 5 or higher)
Cheers!
Top 40 High Low Strategy for SPY, 5minThis strategy is developed based on my High Low Index SPY Top 40 indicator
Notes:
- this strategy is only developed for SPY on the 5 min chart . It seems to work with QQQ as well, but it isn't optimized for it
- P/L shown is based on 10 SPY option contracts, call or put, with strike price closest to the entry SPY price and expiry of 0 to 1 day. This includes commissions (can be changed). This is only an estimate calculated using an arbitrary multiplier factor, this can be changed in the setting
- P/L is based on $5000 initial capital
- Works with both regular / extended trading session turned on/off. However, max drawdown is 1/2 with extended trading session ON
- there is still a bug that doesn't allow alert to be created due to calculation error, will update once fixed
This strategy combines signals from the following indicators to determine entry signals:
- High Low Index SPY Top 40
- MACD
- Linear Regression Slope
Entry signal is triggered when:
- High Low Index line crosses the EMA line
- MACD trending in the same direction
- Linear Regression slope is accelerating above a threshold in the same direction, indicating a strong trend
Profit target(PT) and stop loss(SL) are determined using ATR value, with 2:1 Reward to Risk ratio as default.
Exit signal may be triggered prior to PT or SL trigger when:
- High Low Index SPY Top 40 shows a reversal after overbought or oversold conditions (optional)
- Opposite entry signal is triggered
There are a number of optional settings:
- Turn on/off "option trading", P/L will be calculated using share price only without multiplication factor for trading option contracts
- # of options per trade, default to 10
- Reinvest with profit made
- Trade with trailing SL after PT hit
- Take profit early based on Top 40 overbought/oversold
- Trade 0/1 day expiry. This will signal exit by the end of the day on Mon/Wed/Fri, and only exits 1/2 of positions (if in profit) on Tues/Thurs
- Can reduce the SL level without impacting PT
- No entry between 10:05 - 10:20 (don't ask me why, but statistically it performs better)
Consider donating me some of your profit if you make $$$ hahaha~ ;)
Enjoy~~
Triple ThreatThis indicator provides buy and sell signals for Bitcoin based on confluence from well-known momentum, volatility, and trend indicators. It has successfully captured the major directional trends on Bitcoin's daily chart since 2018, and the settings are currently optimized for this chart in particular. This indicator implements RSI to gauge momentum, BBWP to gauge volatility, and an EMA to gauge trend. Maximum confluence signals are represented by horizontal bars in the indicator's pane, where the tallest green bar is a confirmed buy signal, and the tallest red bar is a confirmed sell signal. The shortest bar represents a momentum-only signal, and the second-shortest bar represents a volatility signal in confluence with the previously given momentum signal.
To track momentum, the RSI is plotted to the indicator plane against a moving average of the RSI. A momentum signal is generated when the RSI crosses over its moving average, retests/approaches the moving average, and then continues in the crossover direction (i.e., it fails to cross the moving average to the opposite side, creating a successful retest). The settings that affect this trigger are the "Crossover Threshold," which specifies how much the RSI should exceed the moving average to be considered a crossover, and the "Retest threshold," which specifies how closely the RSI should approach the moving average to be considered a retest. A momentum signal is ALSO generated if the RSI or its moving average exceed their counterpart by a certain threshold. For example, if the threshold was set at 10, a BUY signal would be generated when the RSI exceeds the moving average by 10, or a SELL signal would be generated when the moving average exceeds the RSI by 10. This threshold can be set using the "Instant Signal Threshold" setting. Either type of momentum signal will be plotted on the pane as the shortest horizontal bar, with its color indicating the signal's direction.
Volatility is primarily measured using the Bollinger Band Width Percentile (BBWP) indicator, which was created by The_Caretaker. BBWP plots the volatility of the asset's price, given by Bollinger Band width, relative to past volatility by assigning the volatility readings into percentiles. The indicator also includes a moving average of the BBWP itself, where a crossover to the upside represents expanding volatility and a crossover to the downside represents contracting volatility. This indicator is used to confirm a signal given by the momentum indicators - a momentum signal that is given during a period of expanding volatility has a greater likelihood of success. Therefore, when the BBWP crosses above its moving average by a given threshold, a previously triggered momentum signal is considered to be "confirmed." The threshold for this crossover can be set using the "BBWP Confirmation Threshold" setting. However, it is also relevant that periods of extreme volatility often accompany an extremity in price action (a "top" or "bottom"), in which case the BBWP is likely to contract after price reaches such an extremity. This phenomenon is captured by also using "extreme reads" on the momentum indicator to signal that there has already been enough volatility to confirm a momentum signal. If the RSI gives an "extreme read" before triggering a signal, the momentum signal is also considered to be confirmed. For example, if the RSI is above 80, breaks below 80, and then gives a SELL signal, this sell signal is considered to be confirmed without requiring the BBWP to crossover its moving average to the upside. The threshold that would confirm a SELL signal can be set with the "Overbought" setting, and the threshold that would confirm a BUY signal can be set with the "Oversold" setting. Whenever a volatility signal confirms a momentum signal, a medium-sized horizontal bar will be plotted on the pane in the same directional color as the momentum signal. Note that a momentum signal may trigger at the exact same time as the volatility signal which confirms it; in this case, only the medium-sized bar will be visible on the pane, but its direction can still be identified by its color.
Lastly, to reduce the likelihood of "false signals," a trend indicator is used to confirm the direction of the signal. This is typically an exponential moving average. If a confirmed volatility SELL signal is given, and the closing price is below the moving average, then the SELL signal is also confirmed by the trend. Likewise, if a confirmed volatility BUY signal is given, and the closing price is above the moving average, then the BUY signal is confirmed by the trend. The type and length of the moving average used to verify the trend can be set using the "Moving Average Type" and "Moving Average Length" settings found below the momentum/volatility settings. A trend signal is plotted on the pane as a tall horizontal bar, and is more deeply colored than the momentum and volatility signals.
For maximum confluence, it is recommended that the trend signal, given by the tallest bar, is the one that forms the basis of trades executed while using the Triple Threat indicator. It is possible to enter more aggressive trades with better entries by using only the volatility signal, given by the medium-sized bar, however this entails greater risk and should only be done in confluence with an additional trading strategy of your own discretion. Backtesting has shown that using the volatility signal alone underperforms using the volatility signal in confluence with the trend signal.
Please also be advised that the default setting are optimized for Bitcoin's daily chart only. The indicator is still applicable to other timeframes and asset classes, but the settings may need to be modified. I have a list of settings for other Bitcoin timeframes, and I would be happy to share them upon request.
I hope you can find this indicator to be of some use to your trading strategies. I'd be happy to hear any feedback from the community, so please don't hesitate to reach out. Stay safe, and happy trading.
Loft Strategy V1This strategy consists of a kalman filter (by alexgrover ) and a "stop and reverse" line which is following the kalman filter.
If the price goes in the same direction as the position side, the "stop and reverse" line approaches the kalman filter as set on the "Approach Decrease Step" parameter.
RSI_OTT - TP/SLWhile creating this strategy, I was inspired by "ott(by Anıl Özekşi)" and "RSI + Bollinger Double Strategy(by ChartArt)".
Basically, the strategy uses ott bands instead of bollinger bands in the "RSI+Bollinger Double Strategy".
User can select take profit, stop loss, position direction(long, short or both) and the other ott parameters via interface.
OTT-Stoch-TP/SLThis strategy combines stochastic oscillator and OTT (OTT is originally owned by Anıl Özekşi).
The strategy is triggered at fast OTT and slow OTT crossing points. User can select the "Evaluate Stoch OTT" option which is validate the crossing points through stochastic oscillator.
In the same way, user can select "take profit", "stop loss" and position direction(long, short or both) via interface.
By the way, Stoch OTT is not classic Stochastic oscillator. Actually, it is also combined classic stochastic oscillator and OTT for long term validation to base strategy.
RSI_Boll-TP/SLThis strategy is originally "Bollinger + RSI , Double Strategy (by ChartArt)"
I added just TP/SL exit point, position direction selection(long, short or both) and time window into that strategy.
EDMA Scalping Strategy (Exponentially Deviating Moving Average)This strategy uses crossover of Exponentially Deviating Moving Average (MZ EDMA ) along with Exponential Moving Average for trades entry/exits. Exponentially Deviating Moving Average (MZ EDMA ) is derived from Exponential Moving Average to predict better exit in top reversal case.
EDMA Philosophy
EDMA is calculated in following steps:
In first step, Exponentially expanding moving line is calculated with same code as of EMA but with different smoothness (1 instead of 2).
In 2nd step, Exponentially contracting moving line is calculated using 1st calculated line as source input and also using same code as of EMA but with different smoothness (1 instead of 2).
In 3rd step, Hull Moving Average with 2/3 of EDMA length is calculated using final line as source input. This final HMA will be equal to Exponentially Deviating Moving Average.
EDMA Defaults
Currently default EDMA and EMA length is set to 20 period which I've found better for higher timeframes but this can be adjusted according to user's timeframe. I would soon add Multi Timeframe option in script too. Chikou filter's period is set to 25.
Additional Features
EMA Band: EMA band is shown on chart to better visualize EMA cross with EDMA .
Dynamic Coloring: Chikou Filter library is used for derivation of dynamic coloring of EDMA and its band.
Trade Confirmation with Chikou Filter: Trend filteration from Chikou filter library is used as an option to enhance trades signals accuracy.
Strategy Default Test Settings
For backtesting purpose, following settings are used:
Initial capital=10000 USD
Default quantity value = 5 % of total capital
Commission value = 0.1 %
Pyramiding isn't included.
Backtesting data never assures that the same results would occur in future and also above settings use very less of total portfolio for trades, which in a way results less maximum drawdown along with less total profit on initial capital too. For example, increasing default quantity value will definity increase maximum drawdown value. The other way is also to use fix contracts in backtesting but it all depends on users general practice. Best option is to explore backtesting results with manually modified settings on different charts, before trusting them for other uses in future.
Usage and In-Detail Backtesting
This strategy has built-in option to enable trade confirmations with Chikou filter which will reduce the total number of trades increasing profit factor.
Symmetrically Weighted Moving Average (SWMA) on input source, may risk repainting in real-time data. Better option is to run a trade on bar close or simply left this optin unchecked.
I've set Chikou filter unchecked to increase number of trades (greater than 100) on higher timeframe (12H) and this can be changed according to your precision requirement and timeframe.
Timeframes lower than 4H usually have more noise. So its better to use higher EDMA and EMA length on lower timeframes which will decrease total number of offsetting trades increasing average total number of bars within a single trade.
Original "Exponentially Deviating Moving Average (MZ EDMA )" Indicator can be found here.
Trend Follower Strategy v2 [divonn1994]The Trend Follower Strategy that I made classifies red and green candles into tiny, small, and big sizes and will send buy or sell signals depending on if the candle is classified as "big" so you get into and out of a position when there is a big candle. Out during a big green candle to take profit. Out during a big red candle in case the market is turning down. It also won't enter a position unless there is positive EMA momentum.
For the chart there is a Buy and a Sell signal. Buy = 1, Sell = 0, and when the value crosses above or below 0.5 it will trigger a long position or close the long position. The graph isn't necessary to the strategy, but can help with visualizing the trade patterns in the past if you like.
This strategy works best so far with these coins at time of posting (March 4th, 2022):
KCSUSDT (621x profit), HTUSDT (45x profit), LUNAUSDT (45x profit), BNBBTC (1553x profit), ETHBTC (219x profit), KCSBTC (1222x profit), LUNABTC (83x profit), FTMBTC (52x profit).
It can work with other pairings, but I personally like these pairings best. I didn't test it with coins outside of the top 100 coins by market cap. Use it however you want.
Works best on 1 Day charts.
The strategy would rather be in the market than out. It gets out when it see's a red flag, but can immediately go back in in the next bar if the red flags are all gone. So it makes a lot of trades.
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Update: This is the same strategy I uploaded before but I made the code Open for anyone to check it out and so it has a similar description as the previous version. Let me know what you think. I'd remove the old version if I could, but I guess it's site policy to not be able to remove scripts that have been uploaded.
Zlema Strateg Long 5mJust putting this out there.
I created this Strategy based on Everget Zlema.
Opens long trade when Zlema changes color.
It is profitable as it is, but just putting it out to the community to see if someone else has ideas to make it better.
How to make this strategy better?
1. FInd a way to filter ranging bad trades.
2. Trades would be more profitable if entry point had an entry on the candle the zlema changes color.
3. I had to put TP 5 limit, but the optimal would be when the zlema changes color back to red (if ranging trades can we filtered that is).
In any case, just putting it out there, hope it is useful for someone, and I am open to suggestions.
Co-relation and St-deviation Strategy - BNB/USDT 15minThis indicator based on statistical analysis. it uses standard deviation and its co-relation to price action to generate signals. and following indicators has been used to calculate standard deviation and its co-relation values. finally it is capable to identify market changes in bottoms to pic most suitable points.
1. Parabolic SAR (parabolic stop and reverse)
2. Supertrend
3. Relative strength index (RSI)
4. Money flow index (MFI)
5. Balance of Power
6. Chande Momentum Oscillator
7. Center of Gravity (COG)
8. Directional Movement Index (DMI)
9. Stochastic
10. Symmetrically weighted moving average with fixed length
11. True strength index (TSI)
12. Williams %R
13. Accumulation/distribution index
14. Intraday Intensity Index
15. Negative Volume Index
16. Positive Volume Index
17. On Balance Volume
18. Price-Volume Trend
19. True range
20. Volume-weighted average price
21. Williams Accumulation/Distribution
22. Williams Variable Accumulation/Distribution
23. Simple Moving Average
24. Exponential Moving Average
25. CCI (commodity channel index)
26. Chop Zone
27. Ease of Movement
28. Detrended Price Oscillator
29. Advance Decline Line
30. Bull Bear Power
STR:EMA Oscilator [Azzrael]Strategy based on EMA and EMA Oscilator
(EMA - close) + Std Dev + Factor = detecting oversell/overbuy
Long only!
Pyramiding - sometimes, depends on ...
There're 2 enter strategies in one script:
1 - Classic, buy on entering to OverSell zone (more profitable ~> 70%)
2 - Crazy, buy on entering to OverBuy zone (catching trend and pyramiding, more net profit)
Exit - crossing zero of (EMA - close)
Volatility Breakout StrategyThis is a strategy used by Larry R. Williams called Volatility Breakout.
By identifying a strong uptrend that exceeds 'a certain level' on a daily basis as a breakout signal, enter long position, take advantage of long at the the next day's open.
'a certain level (Entry Price)' is calculated by { close + 'k' * high -low }, and applied logarithmic calculation.
Stop loss level is calculated by half of the previous day's Low and Entry Price.
Strategy exit always at UTC+0.
And expressed day session with the background color.
Thanks and hope this helps you.
(kor)
이건 Larry R. Williams가 사용하는 변동성 돌파 전략입니다.
특정 수준을 넘는 강한 상승세를 돌파 신호로 파악하여 매수하고, 장시간이 종료될때에 빠르게 수익을 실현하는 전략입니다.
"특정 레벨(진입가)"은 close + 'k' * high -low 로 계산되며 로그 계산을 적용했습니다.
손절 레벨은 전일 저가 및 진입 가격의 절반으로 계산됩니다.
전략은 항상 UTC+0에서 종료합니다. ( 한국 기준 오전 9시 )
그리고 배경색으로 일일세션을 표현했습니다.
트뷰에 오픈소스의 래리윌리엄스 변동성전략이 없는것 같아 간단하게나마 만들어 보았습니다. 도움이 되었으면 좋겟워요..
Buy Monday, Exit Tuesday with Stop Loss and Take ProfitStrategy to go long at end of Monday before market closes and exit before Tuesday close, or at stop loss or take profit percentages
This runs strategy on entering by weekday name and also by session time.
Implemented are also Take Profit and Stop Loss to exit position using custom inputs.
Added stoploss and take profit plot lines
R3 ETF StrategyThis strategy is a modification of the “R3 Strategy” from the book "High Probability ETF Trading" by Larry Connors and Cesar Alvarez. This RSI strategy is for a 1-day time-frame and has these 3 simple rules:
Criteria:
The price must be above the 200 day moving average.
The 2-period (day) RSI drops 3 days in a row.
The 2-period RSI must have been below 60 3 days ago and below 10 today.
Entry and Exit:
If the 3 rules above are true, then buy on the close of the current day.
Exit on the day's close when the RSI crosses above 70.
How it works :
The Strategy will buy when the buy conditions above are true. The strategy will sell when the RSI crosses above 70. The RSI period/length, and RSI entry/exit criteria thresholds have all been coded to be adjustable with inputs.
Plots :
Blue line = 200 Day EMA (Used as Entry Criteria)
Disclaimer: Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
SHAD helperDisplays lines and labels for prices following the SHAD strategy.
SHAD strategy consists in selling half the position every time price doubles, thus this indicator displays values for x2, x4, x8 and x16 of current closing price.
You can also see "/2" (-50%) and "/4 " (-75%) values.
You can edit display colors and labels text size in the indicator's settings
