Villa Dinamic Pivot Supertrend StrategyThis strategy works better on AUD/USD in the 15 min timeframe. It uses the Pivot Supertrend to enter trades based on different filters such as:
- Simple EMA filter: that the 3 EMAs should be in order
- DEMA angle: you can choose the DEMA Angle threshold and the look back to check the angle to just trade trades with DEMA at a certain angle
- Simple DEMA filter: just check if close is above or below DEMA
- Take Every Supertrend Signal: this means to take every normal supertrend signal to not just wait for a pivot supertrend signal to enter a trade (specially on long pivot supertrend periods)
- Stop Loss at Supertrend: this means that the stop loss will be at the Normal Supertrend, if false the stop loss will be placed at the ATR level selected.
- 2 Steps Take Profit: this means if you want to close a percentage of position as soon as the normal supertrend crosses the entry price, you can select the % on the "2 Steps TP qty" input
- Stop Loss ATR Multiplier: if Stop Loss at Supertrend is off this will be the stoploss based on the atr
- Take Profit ATR Multiplier: if Stop Loss at Supertrend is off this will be the takeprofit based on the atr (you have to keep in mind that the ratio between this two will make the Risk to reward ratio of the take profit when the Stop Loss at Supertrend)
- Testing: to avoid overfitting, you can select date ranges for backtesting and forwardtesting and select which testing you wanna do
趨勢分析
Trendelicious StrategyA simple strategy based on Trendelicious indicator
We go long when an uptrend started 2 candles ago.
We close the position when an uptrend ended 2 candles ago.
Parameters are just the required parameters for the indicator + backtest timeframe
To avoid the noise and catch big uptrends, run on higher timeframes (4h, 1D ...)
The script also contains a code to show some stats suitable when on a mobile device.
DISCLAIMER:
This is not an advice to trade. Use at your own risk.
The author of this script cannot be held responsible for any losses incurred directly or indirectly by the usage of this strategy.
Ichimoku Cloud [Trading Nerd]Backtesting Script that compares different way to trade the Ichimoku Cloud. With this script you can test 2*2 different Ichimoku Cloud Entry conditions, more on that down below. This script is useful to figure out what conditions work best for the applied market (so not only parameters of the Ichimoku Cloud are changeable).
Strategy foundation
This conditions need to be always satisfied for a valid entry:
Longs:
The close price must be above the (displaced) cloud: close > max(leadingspanA , leadingspanB )
The most recent cloud must be green: leadingspanA > leadingspanB
Shorts:
The close price must be below the (displaced) cloud: close < min(leadingspanA , leadingspanB )
The most recent cloud must be red: leadingspanA < leadingspanB
Options for Conversion-/Base Line
Cross: Conversion-Line cross-over Base-Line (Long), Conversion Line cross-under Base-Line (Short)
Over/Und er: Conversion-Line > Base-Line (Long), Conversion-Line < Base-Line (Short)
Options for Lagging Span
Above/Below Price: Lagging-Span > Close Price (Long), Lagging-Span < Close Price (Short)
Above/Below Cloud: Lagging-Span > Ichimoku Cloud (Long), Lagging-Span < Ichimoku Cloud (Short)
Exit Conditions
An optional Stoploss is available. 2 different Types:
ATR: Takes a multiple (set by 'ATR multiplier for SL') of the ATR and subtract it (Long) or adds it (Short) to the close price of the previous candel (before entry candle)
HH/LL: Takes the highest high/lowest low of the last X candles (set by 'Lookback Range for HH/LL SL') and sets a SL at this price
none: There is no SL.
The position is at latest exited at the next cross of the Conversion-Line and Base-Line!
Longs: Conversion-Line cross-under Base-Line.
Shorts: Conversion-Line cross-over Base-Line.
The position is closed if the cross is confirmed (candle has closed).
Risk Management
You can set the risk percent per trade:
Risk only X% of current capital (initial capital + net Profit). This requires a Stoploss-Strategy (not none).
IMPORTANT: For low Timeframes and Markets with tight SL (like Forex) it requires a lower Margin Percent than default. Go to Settings->Properties and lower the required Long/Short Margin. Otherwise Trades might not be considered because of too less capital/marign. Margins can e.g. set to: 2% (Forex), 10% (Stocks), 20% (Crypto).
Unicorn Quant Strategy [Astride Unicorn]Deeply customizable trading algorithm with instant back-testing. Its position management and trading signals engines emulate every step of the trading process and display all the actions on the chart. For example, the algorithm shows when to enter or partially close a position, move stop-loss to breakeven, etc. The trader can use these signals in their decision-making and replicate these actions in their trading terminal. The script can also send real-time alerts to the user’s Email.
The trading signals feature calculates entry signals for momentum and trend trading. The calculation is based on trend filtering using our custom filter based on rolling historical volatility. The historical volatility is used to distinguish the market regime and determine the current trend direction. In its calculations, the algorithm uses linear regressions instead of averaging. As our practice shows, it helps to reduce signal lag while keeping the number of false signals low.
HOW TO USE
Set stop-loss and up to three take-profit levels, choose rules for moving the stop-loss level, adjust sensitivity of the entry signals and see the back-test result immediately. If the performance of the strategy satisfies you, proceed with the forward-testing or live-trading.
When using this script, please, keep in mind that past results do not necessarily reflect future results and that many factors influence trading results.
SETTINGS
Use Starting Date - when the flag is turned off, the algorithm uses all available pricing data to calculate back-tests; when turned on, back-tests start from a starting date the user can select in the setting below.
Starting Date - sets a starting date for back-testing.
Trading Signals
Trade Length - defines the length of the trades the algorithm tries to calculate entry signals for. Recommended values are from 1.0 to 6.0.
Sensitivity - controls the sensitivity of the trading signals algorithm. The sensitivity determines the density of trading signals and how close the trailing-stop levels follow the price. The higher the value of this parameter is, the less sensitive the algorithm is. High values of the Sensitivity parameters (100-500) can help to withstand large price swings to stay in longer price moves. Lower values (10-100) work well for short- and medium-term trades.
Signals Type - In the Signals Type dropdown list, there are two options: Market Timing and Market Bias. Market timing is a type of trading signaling when the algorithm tries to find a perfect moment to enter and exit a trade. Market Bias is the type of trading signaling when the algorithm tries to be in a position all the time. When a trade is closed, the algorithm determines a direction to which the market is currently “biased” and immediately opens a trade in this direction.
Position Management
SL - sets stop-loss level measured as a percentage of the trade entry price
TP1, TP2, TP3 - sets take-profit levels measured as a percentage of the trade entry price
Close % at TP1, Close % at TP2, Close % at TP3 - Sets portions of the open position(as a percentage of the initial order size) to close at each of the TP levels
At TP1 move SL to, At TP2 move SL to - Sets the rules for moving stop-loss level in an open trade to protect the floating profit
Dashboards
Active Position Information - turns on/off a dashboard that shows the current SL and TP levels for the active position.
Recommended SL,TP Settings - turns on/off a dashboard that shows recommended settings for the SL and TP levels.
EMA Cloud Intraday Strategy********NOT TRADING ADVICE - USE AT YOUR OWN RISK - TRADING IS RISKY - DO NOT BLINDLY FOLLOW THE SIGNALS FROM THIS STRATEGY********
This strategy utilizes the 9 and 20 period exponential moving averages to create a colored cloud between similar to what is seen on the Ichimoku Cloud. The strategy closes all trades by the end of the trading day. Entry is when the price closes above a Green (9 EMA above 20 EMA) cloud or below a Red (9 EMA below 20 EMA) cloud. Exit is when price closes against the 9 EMA or at the end of the trading day. Running the strategy tester on different intraday time frames will show the best time frame for a given Symbol. For example, I have found that the best results are returned by this strategy for SPY on the 30 minute time frame.
********NOT TRADING ADVICE - USE AT YOUR OWN RISK - TRADING IS RISKY - DO NOT BLINDLY FOLLOW THE SIGNALS FROM THIS STRATEGY********
3 Candle Strike SPY Option StrategyImportant notes:
1. This strategy is designed for same day SPY option scalping. All profit shown in back testing report is based on Profit/Loss (P/L) estimates from trading options with approximately 7.5 weeks of data. By default, it is set to 10 option contracts. By default the initial capital is set to $5000.
2. This strategy also takes into account of extended market data, so turn it on for it to work as intended.
3. This strategy is mainly developed for SPY trading on 1 min chart, it probably will not work with other tickers without tweaking all the parameters first.
4. At the time of publish, the market is experiencing high volatility. Keep that in mind as market conditions changes constantly.
How it works:
Basic idea of this strategy is to look for 3 candle reversal pattern within trending market structure. The 3 candle reversal pattern consist of 3 consecutive bullish or bearish candles, followed by an engulfing candle in the opposite direction. This pattern usually signals a reversal of short term trend (a.k.a pullbacks). This strategy uses multiple moving averages to filter long or short entries. For example, if the 21 smoothed moving average is above the 50, only look for long (bullish) entries, and vise versa. There are settings to change these moving average periods to suit your needs. Linear Regression to determine whether the market is trending. The 3 candle pattern is more successful under trending market.
This strategy aims for approximately 1:3 risk to reward ratio. Stop losses are calculated using the closest low or high values for long or short entries, respectively, with an offset using a percentage of the daily ATR value. This allows some price fluctuation without being stopped out prematurely. Price target is calculated by multiplying the difference between the entry price and the stop loss by a factor of 3. When price target is reach, this strategy will set stop loss at the price target and wait for exit conditions to maximize potential profit.
By default, the strategy signals a trade in the opposite direction if the previous one had resulted in a loss. Often times, this opposite trade results in profit.
This strategy automatically signal to close all trades at 3:50 pm EST at the end of the day.
Enjoy~!!! Let's all make $$$
Golden Swing Strategy - Souradeep DeyThis strategy is developed by Mr. Souradeep Dey. Strategy is based on RSI, Stoch, BB & Supertrend.
Coding by Rajkumar
Sentiment by JDG v5.0Hi Trading View User,
First of all: Strictly use 1hr TF
This strategy uses the following indicators:
1. RSI (default and improved provided by trading view.
2. Fear and greed index
3. Slope of Fear and Greed Index( Drop over run formula)
Slope is calculated and fine tuned for every stock/coin.
All crypto coins have different slope structure / fear and greed DNA.
Slope is different for every coin/stock, this is automatically calculated by the script and optimized for best profit.
How the Fear and Greed Index is calculated
So how do they arrive at the final number? There are multiple factors that influence the ultimate output.
1. Volatility: The index compares volatility and max drawdowns (a drawdown is a decline in value) against the 30-day and 90-day average volatility and drawdown numbers. Higher volatility is considered fearful and increases the final output. Volatility represents 25% of the index value.
2. Momentum/volume: The index measures the current momentum and volume of the bitcoin market. Again, against the 30-day and 90-day averages. High volume and momentum are seen as negative metrics and increase the final index output. Momentum/ volume represents 25% of the index value.
3. Social Media: The index tracts mentions and hashtags for bitcoin , and compares them to historical averages. Higher mentions and hashtags are interpreted as increased market involvement and lead to an increase in the final index output. Social media represents 15% of the index value.
4. Surveys: The index conducts large, market-wide surveys on a weekly basis. Usually, there are 2,000-3,000 participants in each survey. More enthusiastic survey results drive the index higher, pointing to market greed prevailing. Surveys represent 15% of the index value.
5. Dominance: The index measures bitcoin dominance in the overall market. The higher the bitcoin dominance, the more fearful the market – as interpreted by the index. As alternative coins gain market share, the market is acting courageously and not fearfully. The lower the bitcoin dominance, the greedier the market is becoming. 6. 6. Dominance represents 10% of the index value.
7. Trends: The index includes Google trend numbers in the final value. The higher the search interest of cryptocurrency becomes; the higher amount of greed is seen in the market. Trends represent 10% of the index value.
For more information on Crypto Fear & Greed Index please do visit:
alternative.me
Strategy Buy Conditions:
1. Sentiment is at Extreme Fear and Fear , as this increases the price also increases.
2. Trading view RSI crossing up
Note: Wait for long signal, then enter a trade on the rocket emoji
Strategy Sell Conditions:
1. Sentiment is at Extreme Greed and Greed , as this decreases the price also decreases.
The current code/ strategy supports 55 coins from Binance for spot / futures trading.
Here are the list:
SHIBUSDT
AAVEUSDT
ADAUSDT
AKROUSDT
ALGOUSDT
ATOMUSDT
AUDIOUSDT
AVAXUSDT
AXSUSDT
BANDUSDT
BATUSDT
BLZUSDT
BTCDOMUSDTPERP
BTCUSDT
CTKUSDT
EGLDUSDT
EOSUSDT
ETHUSDT
FLMUSDT
FTMUSDT
GALAUSDT
IOTAUSDT
IOTXUSDT
KAVAUSDT
KLAYUSDT
LITUSDT
LRCUSDT
LUNAUSDT
MATICUSDT
MTLUSDT
NEARUSDT
NEOUSDT
ONTUSDT
ROSEUSDT
RUNEUSDT
SANDUSDT
SKLUSDT
SOLUSDT
THETAUSDT
WAVESUSDT
XRPUSDT
ZECUSDT
HBARUSDT
ONEUSDT
GRTUSDT
DOTUSDT
CTSIUSDT
VETUSDT
LINKUSDT
SRMUSDT
OGNUSDT
MANAUSDT
Reminding again, please use 1HR TF only when using this strategy.
Wait for long signal, then enter a trade on the rocket emoji
Message me for access.
-CodeFather
VOLLY PRICE CONVERGETriggers:
Long = Price and Volume ma's move up
Close trade = crosses ma, volume and price move in different directions
SSL + Wavetrend (7 indicators) by TradeSmartHello everyone! This script is implementing a strategy that uses 7 indicators: SSL, Wavetrend, SSL Hybrid, Keltner Channel, EMA, Candle Height and ATR. This is the 2nd best strategy that we have tested so far (based on the 100 backtests).
STRATEGY ENTRY RULES
Long entry: go long if SSL Hybrid is blue (between last candle and entry candle) and SSL Channel crosses up (green SSL line is on the top) and Wave Trend prints green dot (candle color turns yellow) and entry Candle Height is not higher than 0.6 and entry candle is inside the Keltner Channel and price target does not hit the 200 EMA.
Short entry: go short if SSL Hybrid is pink (between last candle and entry candle) and SSL Channel crosses down (red SSL line is on the top) and Wave Trend prints red dot (candle color turns blue) and entry Candle Height is not higher than 0.6 and entry candle is inside the Keltner Channel and price target does not hit the 200 EMA.
EXIT STRATEGY
The strategy will exit based on a set ATR value. Take profit and stop loss levels can be changed with risk/reward settings.
CHANGEABLE SETTINGS
Wave Trend: Channel Length, Average Length, Wave Trend Limit High, Wave Trend Limit Low
SSL: Period
SSL Hybrid: SSL1 / Baseline Type, SSL1 / Baseline Length, Base Channel Multiplier
Target Price Limit: can set 6 different limiters for long and short entries
Candle Height Limit: Limit based on, Candle Limit High, Candle Limit Low
Keltner Channel: Limit range long, Limit range short, Length, Multiplier, Source, Use Exponential MA, Bands Style, ATR Length
Exit strategy: ATR Length, ATR Smoothing, Stop Loss Multiplier (risk), Exit Price Multiplier (reward)
Setups: Capital Percentage, Risk Percentage, Allow Long Entries, Allow Short Entries
Date Range: Limit Between Dates, Start Date, End Date
Trading Time: Valid Trading Days
FIRST RELEASE SETTINGS FOR ALGOUSDT 30 M (3/19/2022)
Wave Trend: Channel Length = 11, Average Length = 19, Wave Trend Limit High = 27, Wave Trend Limit Low = -48
SSL: Period = 10
SSL Hybrid: SSL1 / Baseline Type = EMA, SSL1 / Baseline Length = 36, Base Channel Multiplier = 0.21
Target Price Limit: can set 6 different limiters for long and short entries: all false
Candle Height Limit: Limit based on: Candle Body (open/close), Candle Limit High = disabled, Candle Limit Low = enabled, 0.32
Keltner Channel: Limit range long = enabled, Full range, Limit range short = enabled, Full range, Length = 3, Multiplier = 1, Source = close, Use Exponential MA = enabled, Bands Style = Average True Range, ATR Length = 11
Exit strategy: ATR Length = 14, ATR Smoothing = EMA, Stop Loss Multiplier (risk) = 1.9, Exit Price Multiplier (reward) = 2
Setups: Capital Percentage = disabled, Risk Percentage = enabled, 1, Allow Long Entries = enabled, Allow Short Entries = enabled
Date Range: Limit Between Dates = disabled, Start Date, End Date
Trading Time: Valid Trading Days = 1234567
Hope you like this strategy, feel free to check all of our scripts. Thank you for your support!
Relative Strength Index - MayurRSI backtesting long only portfolio builder.
only for investing at cheap valuations
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.
SuperTrend Multiple Risk Management SystemThis is an improved SuperTrend strategy that makes use of multiple types of risk management options.
We have for example :
1. Take profit and stop loss levels based on support and resistence created with RSI and Pivot Lines(dynamic)
For example, if we have an oversold level and a pivot low , we can take that low point for support.(or resistence for short)
If instead we have an overbought level and a pivot high, we can take that high point for resistence.(orsupport for short)
2. Take profit and stop loss levels based on swing low and swing high points calculated with highest high and lowest low function(dynamic)
For example we take the lowest point in the last 100 candles. We calculate the distance from the current point to that one, and we apply this value as a take profit point. Same for stop loss
3. Take profit and stop loss levels based on % movements(fixed)
For example we have a tp or sl of 10%. If either of them make a movement of 10% from the entry point, they will get triggered.
4. Break even stop loss once the asset moves certain % in our direction.
For example we have a long breakeven of 5%. If the asset moves 5% in our direction, we move the stop loss on the entry point so if the trade pullback and crosses with this point it will exit from the trade.
Notes:
All the exits from the strategy are happening at the end of the candle close, since we are checking if inside the current candle we cross with either high or low of the candles parts the set prices from any of the above options.
At the same time we can combine multiple of them into one, and we can either exit based on which one was hit first, or use a quantity reduction of the trade and exit multiple times when we hit any of the levels.
This tool is for educational purpose only.
Its main purpose is to show the difference between having a risk management or without.
For example on this scenario of BTC USD 4h, I found out that the drawdawn was reduced by more than half when using different type of risk management, compared to not use one at all, while at the same time increasing the profits by a huge margin.
FibVIP2022TSLAThis is version 1.0 FibVIP2022TSLA Strategy. This has only been back tested for the ticker "TSLA" for the year 2022. And I real time capital tested it personally. The reason I isolated this strategy to 2022 is because Tesla's chart patterns have changed from the previous 2 years. So, I wanted to develop an indicator-based strategy that was consistent with current market conditions. The default setting for percent of equity is set to 5% risk. I will adjust any variables that make this FibVIP2022TSLA Strategy more accurate in the future as more 2022 data comes out.
It's based on my Fibonacci VIP indicator script. Fibonacci VIP (Fibonacci Volume Indicator Precision) is a volume indicator that I made to help me have precise entry and exit timing. It's based on the well-known Fibonacci sequence 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233. The default colors I like to use can be changed to whatever you want. The numbers inputted are based on volume ema.
Bullish momentum in ascending order is 21 = white, 13 = blue, 8 = green.
Bearish momentum descending order is 89 = red, 55 = yellow, 34 = purple.
Immediate momentum 1 = orange, 2 = blue, 3 = neon green, 5 = lime.
Long term momentum 144 = lime, 233 = teal.
Four high, mid high, mid low & low dashed channel lines with transparent fill colors lime, green, maroon & red. Also, there's a gray zero static line & white dynamic horizontal dotted line ema1 & ema8 to help keep momentum in perspective. The most bullish signal is when all colors are in a top-down order 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233. The most bearish signal is when all colors are reversed and have a bottom-up order of 233, 144, 89, 55, 34, 21, 13, 8, 5, 3, 2, 1.
A crossover, cross-under, divergence or convergence of these colors, help signal the future price action. For example, green crossing over red is bullish, but green crossing under red is bearish. If colors are low / below the zero line that's bearish and if they are above the zero line, that's bullish. The FibVIP works great as a leading indicator to confirm future price action of the underlying security momentum.
Market structure intraday ES futures strategy - BuySell ZonesThis market structure strategy for ES Mini Futures optimized for intraday market analysis ( RTH ).
Entry condition identified by bearish and bullish market structure.
Support level (Green Lines) is identified based on different variations of price fluctuations followed by the close above the range.
Resistance level (Red Lines) is identified based on different variations of price fluctuations followed by the close below the range.
The idea is to spot areas where market players were fighting for the best price and one side finally won.
Bullish trend is identified by consecutive series of support levels developing in upside direction.
Bearish trend is identified by consecutive series of resistance levels developing in downside direction.
When market develops bullish trend , strategy sets LONG limit order at fresh support level .
When market develops bearish trend , strategy sets SHORT limit order at fresh resistance level .
If there is an open position no new entries are performed.
For longs initial stop is set at previous support level adjusted by ATR.
For shorts stop is set at previous resistance level adjusted by ATR.
Stop trailing is also based on market structure.
If new support level is identified, stop moves to previous support level .
If new resistance level is identified, stop moves to previous resistance level .
There are no target. Strategy either gets stopped at current stop level or exits at session end.
Strategy calculates position size based on the previous market structure and ATR.
Strategy performs compounding position sizing so as account amount increases so does amount of traded contracts.
Usage:
Add script to your favorites and apply it on ES1! 1 minute time frame setting regular trading hours.
Script will print the limit order as well as stop levels according to the rules described above. As trade will progress, script will print levels to move the stop to.
Settings:
I added an option to disable the support and resistance lines printing if you prefer to have clean charts.
You can also change risk % to best fit your trading style.
If you just want to use the support and resistance levels as indicator you can also disable the strategy execution.
Support and Resistance indicator itself is universal and can be used on any market or timeframe.
If you want the strategy to be optimized for other markets or timeframes or have other rule set in mind feel free PM me, we will create the solution that best fits your needs and styles.
Real life trading is not get rich scheme. It is continuous process that involves various steps and dedication. If you are willing to take this path please PM me to enable the strategy for you.
Enjoy!
AC- MY SCRIPT1My Ac- My Scrpt1 that the BUY and SELL signals (trend reversals) for many coins defined different tickers in Tradingview charts
Terminology explanation:
Confirmed Reversal: Oxford T reversal that happened in the last bar and cannot be repainted.
Potential Reversal: Oxford T reversal that might happen in the current bar but can also not happen depending upon the timeframe closing price.
Downtrend: Tickers that are currently in the sell zone
Uptrend: Tickers that are currently in the buy zone
List and show has also got a built in Oxford T indicator which users can confirm the reversals on graphs.
Screener explores the 40 tickers in current graph's time frame and also in desired parameters of the OTT indicator.
Also you can optimize the parameters manually with the built in STRATEGY version.
Built in Moving Average type defaultly set as VAR but users can choose from 8 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Movin Average
WMA : Weighted Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average aka VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
Tip: In sideways VAR would be a good choice
You can use OxforfT default alarms and Buy Sell signals like:
1-
BUY when Prices are above OxfordT
SELL when Prices are below OxfordT
2-
BUY when OxfordT support Line crosses over OoxfordT line.
SELL when OxfordT support Line crosses under OxfordT line.
3-
BUY when OxfordT line is Green and makes higher highs.
SELL when OxfordT line is Red and makes lower lows.
IMPORTANT: SCREENER ONLY EXPLORES AND SCREENS FOR THE 2nd SIGNAL TYPE:
BUY when OxfordT support Line crosses over OxfordT line.
SELL when OxfordT support Line crosses under OxfordT line.
Mini-Pullbacks SupertrendThis WOP script is trying to check the pullbacks in a trend and open a position when the pullback is finishing
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.
Strength ATR ADX v2This strategy looks for strong price movements with a high chance of a reversal on the difference in the rates of 6 currency pairs. A combination of ADX DI- and ATR is used for confirmation.
Added the ability to close trades by TP and SL to the strategy. (off by default)
Built-in martingale and reverse martingale (off by default)
The lot size is set in the strategy settings themselves!!!
The best results were obtained on XAUUSD 5M and on 1M cryptocurrency pairs.
pi RSI StrategypiRSI Strategy is based on my relative strength index indicator pi RSI because it uses the first 15 sequential numbers in Archimedes constant "pi" 3.14159265358979.. I felt that the never ending, non-repeated number, pi, was a good candidate for an input that tracks the constantly changing trends these days.
This is a price momentum strategy that helps you evaluate overbought or oversold conditions. By the default colors, when the white line is above the purple it's going bullish. And when the white line is under the purple it's going bearish.
Also, on the scale, 50 is neutral, below 25 is getting oversold and above 75 is getting overbought. This strategy is useful in conjunction with other price and volume indicators / strategies to help redundantly confirm future price action.
I've spent exhaustive effort on new research & development, engineering, back testing accuracy, real time capital testing, & future version revision of my trading indicator / strategy scripts.
Overnight Gap AnalysisThere is a wide range of opinion on holding positions overnight due to gap risk. So, out of curiosity, I coded this analysis as a strategy to see what the result of only holding a position overnight on an asset would be. The results really surprised me. The script backtests 10+ years, and here are the findings:
Holding a position for 1 hour bar overnight on QQQ since January 2010 results in a 545% return. QQQ's entire return holding through the same period is 643%
The max equity drawdown on holding that position overnight is lower then the buy/hold drawdown on the underlying asset.
It doesn't matter if the last bar of the day is green or red, the results are similar.
It doesn't matter if it is a bull or bear market. Filtering the script to only trade when the price is above the 200-day moving average actually reduces its return from 545% to 301%, though it does also reduce drawdown.
I see similar patterns when applying the script to other index ETFs. Applying it to leveraged index ETFs can end up beating buy/hold of the underlying index.
Since this script holds through the 1st bar of the day, this could also speak to a day-opening price pattern
The default inputs are for the script to be applied to 1 hour charts only that have 7 bars on the chart per day. You can apply it to other chart types, but must follow the instructions below for it to work properly.
What the script is doing :
This script is buying the close of the last bar of the day and closing the trade at the close of the next bar. So, all trades are being held for 1 bar. By default, the script is setup for use on a 1hr chart that has 7 bars per day. If you try to apply it to a different timeframe, you will need to adjust the count of the last bar of the day with the script input. I.e. There are 7 bars per day on an hour chart on US Stocks/ETFs, so the input is set to 7 by default.
Other ways this script can be used :
This script can also test the result of holding a position over any 1 bar in the day using that same input. For instance, on an hour chart you can input 6 on the script input, and it will model buying the close of the 6th bar of the day while selling on the close of the next bar. I used this out of curiosity to model what only holding the last bar of the day would result in. On average, you lose money on the last bar every day.
The irony here is that the root cause of this last bar of the day losing may be people selling their positions at the end of day so that they aren't exposed to overnight gap risk.
Disclaimer: This is not financial advice. 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!
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
