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Relativity BULLS FOREX 100X 1H AlgorithmHi, This system is prepared only for leveraged markets and only for Forex. System parameters: Timeframe = 1H (1 Hours) Leverage = 100X Position Size = %1 (0.01) Each Trade System features : - It targets the Risk /Reward Ratio of 1/3 and above. (Risk/Reward Ratio >= 3 ) - If a Take Profit Point has come in a successful trade but the parameter conformity has not deteriorated, system continues the trade. - In this way, you can catch strong long trends several times a year. But it is strict as stop-loss and avoids large declines,whipsaws whenever possible. - The system tries to avoid unnecessary processes as much as possible. This means less commission and less sideways market. - Since it takes advantage of the reverse market, it is suitable not only for long and short but only for long position, ie "bulls". But this neutralizes unnecessary processes. - Stop-Loss points and Snow-take points are shown in red and green. -However, if there is a small amount of follow-up available at the computer, it is recommended to put stop-loss only. Because the system revises both stop-loss and take profit points according to the conditions formed. Doing this in the right major long trend here allows you to be in trades. -The system takes into account the risk and only opens transactions where the value corresponding to 100 leverage ratio is greater than the risk. This provides as much protection from risk as possible. -Alerts added. ***Since it is located in the most risky market, the forex market, a balanced algorithm has been optimized, considering that it has a very unstable structure similar to dilithrium crystals (same logic as investment bank trader test). So if this algorithm was a person, it would be an incredibly disciplined but equally skeptical person =) Also, like other systems, this system also uses ANN (Artificial Neural Networks). About Backtest : Since this system uses leveraged market, backtest results are not healthy. But since it targets the 1/3 Risk Reward Rate (3.00), we must look Ratio Avg Win/Loss and it must be over 0.5 because : This ratio means: When we reach 33% of our correct trades in all our trades, we are at breakeven. This is 100 - 33 = 66 33/66 = 0.5 So whenever this rate is over 0.5, we make a profit. *** The fact that this ratio must over 0.75 (worst scenario) in terms of securing ourselves because there will be extra comission fees for worst scenario. Above this ratios ,we can do successful snowball trades.(Because future contracts have loss of maturity and end dates) And we achieve success cumulatively. Important Note : This system is prepared only for these parameters. NOTE : The system has been prepared as a strategy to present success in a transparent manner. Please check "Ratio Avg . Win / Avg Loss" rates in backtests. Important Note 2 - Although the system revises the stop and take profit points in the required parameters, the most accurate place is when the signal comes. It should be entered when the signal comes as much as possible and if this did not happen, trade must be opened in the nearest bars after the signal comes. Best regards. EDIT : Comission added. (%0.1)
Pine Script® stratejisi
Noldo tarafından
1
TS - Trading Algorithm Strategy - Crypto, Forex & StocksWhat does the TS - Algorithm do? -- Plots trend following, high probability signals. -- These signals do not repaint and can be used confidently to enter or exit a trade. What markets can this indicator be used on? -- Forex -- Stocks -- Commodities -- Cryptocurrencies What time-frames can this indicator be used on? -- This indicator can be used on 1m, 3m , 5m, 10m, 15m, 30m, 1hr, 2hr, 3hr, 4hr, 6hr, 8hr, 12hr, Daily, Weekly, Bi-Weekly and Monthly time-frames. -- This is a trend following algorithm, so low as there is good volume , volatility and price history of an asset, the model can perform. Does this indicator repaint? -- No Premium Tradespot Script - Trial access and Information -- Trial access offered -- PM me directly to request trial access to the scripts or for more information.
Pine Script® stratejisi
Tradespot tarafından
3
Simple RSI-MA Algo Beats DOW By Huge Margin Over Past 100 Years!This simple RSI-MA long/short algorithm beats the Dow by a FREAKING HUGE margin over the past century (excluding dividends and trading costs). The algorithm uses a fast SMA of the RSI as a buy/cover signal and a slow SMA of the RSI as a sell/short signal. Backtest period = 09/17/1916 - 11/02/2015 Dow = 98 --> 17,830 = +18,094% = 5.38% CAGR Algorithm = net profit + open P/L = +43,349% = 6.31% CAGR Notice how the algorithm dodged both the 30s' Great Depression and the 2008 Crisis. Pretty cool huh? :) ALGORITHM'S FORMULA (use weekly chart): Buy/Cover = MA10(RSI10) cross> 50 Sell/Short = MA50(RSI10) cross< 50 STRATEGY TESTER'S SETTINGS: - Initial cash = $10,000 - Pyramiding disabled - Re-investment enabled (order size = 100% of equity ) - Trade re-calculations disabled DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
Pine Script® stratejisi
Stable_Camel tarafından
5
[Fedra Algotrading Strategy 2tp+L&S] Futures Long or ShortStrategy for crypto market, designed for automatic algorithmic trading with bots. Can place long and short orders Calculates your entries based on the breakout of the simple deviation of the linear regression of the last X periods. Configures TP (green line) and SL (red line) percentages, the TP is a trailing TP. Optionally, you can set a first TP (white line) that sells half of the position. Advanced trend filter to not open trades against the market. SMA (yellow line), WMA (blue line) and secret sauce Includes an advanced system to control the backtest period (choose how many days to backtest). Risk management by volume of capital or amount of losing trades (kill switches that will exit the trade and stop the script) The script includes default commissions of 0.2% per trade (configurable). - Dinamic table with Price positions to plan your limit orders if you are trading manually - Highly customizable and optimizable. If you want to trade longs and shorts, it is advisable to create 2 different alerts. In most cases, the optimal parameters for longs are not the same as for shorts. In a forthcoming update I will enable separate configurations. For better performance the script uses real time price information, for this reason Tradingview may warn you that there is "repainting", as the backtest information does not contain the information of each tick but only the open, close, high and low values of each candle. To avoid this, you can disable the "calculate on every tick" option from the strategy settings panel.
Pine Script® stratejisi
Fedra_Algotrading tarafından
13
Super Algorithm Strategy (Joy Bangla)This is the strategy tester for the Below are the performance results Starting with $10,000 Net Profit: 88% 66% profitable trades 34% losing trades. Do look at the losing trades. If one did careful moment management, some of those may end up profitable as well. 4.158 Profit factor. 16.1% drawdown. I would go a bit more and say if I am using this, my risk management should ensure for a stop loss of 20%. 66 bars on average (aka it holds for a long time. So, one needs to look into the funding factor in money management) Sharpe Ratio: 0.291 Only 7 trades done (with 6 closed) in 2 and a half years. So this absolutely reduces noise as much as possible. In short, if I had $10000 of BTC beginning of 2018, I would be having $18,878 worth of btc right now. With 4x leverage, this could be a huge potential. For info on gaining access see the ⬇ link below ⬇ in our signature field & direct message me. I have a busy schedule at my own workplace. Trading is my hobby. Hence, please be kind to me if I am late in replying.
Pine Script® stratejisi
Joy_Bangla tarafından
5
CB Signals - Holla-724 BITMEX ETH/USD Long/Short (PAID ALGO)This algo uses a number of strategies developed from 7 yrs of trading this concept in the FX markets. I have modified it for Leverage trading on BITMEX exchange. You may view detail summary of live performance of this Algo dating from Jan 1st 2018 - Jan 17th 2019 (In one of Crypto's worst bear markets) below by clicking the "Performance Summary" Tab: To signup for this algo please visit the link below: www.cryptoblood.io
Pine Script® stratejisi
cryptoblood_algo1 tarafından
CB Signals - Holla-724 BITMEX BTC/USD Long/Short (Paid Algo)This algo uses a number of strategies developed from 7 yrs of trading this concept in the FX markets. I have modified it for Leverage trading on BITMEX exchange. You may view detail summary of live performance of this Algo dating from Jan 1st 2018 - Nov 9th 2018 (In one of Bitcoin's worst bear markets) below by clicking the "Performance Summary" Tab : To signup for this algo please visit the link below: www.cryptoblood.io
Pine Script® stratejisi
cryptoblood_algo1 tarafından
APIBridge Nifty Options Algo StrategyUsing Pinescript, we will use charts of Cash/Future to trade in Options. Note this strategy works well with even the free version of TradingView. The Relative Strength Index ( RSI ). Is a momentum oscillator that measures the speed and change of price movements. The RSI oscillates between zero and 100. Increasing RSI shows increasing bullish momentum. Decreasing RSI shows increasing bearish momentum. We take RSI upper bound as 80 to indicate bullish momentum and RSI lower bound as 20 to indicate bearish momentum. We use the above premise to create options buy-only strategy which trades in ATM strikes by default. This strategy requires very less margin (Minimum Rs . 15000). Since this strategy uses underlying data (cash/future) to place trades in Options, please ignore the backtest of this strategy given by TradingView. TradingView does not provide options data but this strategy bypasses it. Strategy Premise The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. The RSI oscillates between zero and 100. Increasing RSI shows increasing bullish momentum. Decreasing RSI shows increasing bearish momentum. We take RSI upper bound as 80 to indicate bullish momentum and RSI lower bound as 20 to indicate bearish momentum. We use the above premise to create options buy-only strategy which trades in ATM strikes by default. This strategy requires very less margin (Rs. 15000 should be sufficient). NSE Options Algo Strategy Logic Long Entry: When RSI goes above 80, send LE in an auto-calculated option strike Call. When RSI goes below 20, send LE in auto-calculated option strike Put. Long Exit: When we hit Stop loss or Target. In case SL/TGT does not hit and reverse RSI goes above 80 send Long Exit in auto-calculated option. Put as per last trade; RSI goes below 20, send LX in auto-calculated option call as per last trade. For Long and Short entry the order is fired in the option buying side with auto strike price selection. Option Strategy Parameters for TraingView Charts RSI Length(Mandatory): Number of bars used to calculated RSI. Upper Band(Mandatory): To specify upper band of RSI. Lower Band(Mandatory): For specifying lower band of RSI. Use reversal from Upper Band (Optional): This will enable short entry when RSI is falling below 80 from upper band. Recommended to keep unchecked initially. Use reversal from Lower Band (Optional): This will enable long entry when RSI is raising above 20 from lower band. Recommended to keep unchecked initially. Quantity: We use this specify the trade quantity (for Nifty min 75) Custom Stop Loss in Points: Movement in chart price against the momentum which will trigger exit in options positions Custom Target in Points: Movement in chart price against the momentum which will trigger exit in options positions Base symbol: This is the base instrument symbol like NIFTY or BANK NIFTY. Strike distance from ATM: Our default strike selection is considered as first ATM option (with nearest distance, only 100s are considered ). This strike distance allows to calculate ATM options which are at fixed distance. Expiry: Expiry of option. Weekly and monthly both expiry are allowed. Instrument: For index instrument will be OPTIDX, for stock instrument will be OPTSTK Strategy Tag: The Strategy of Nifty options configured in Api bridge. Setting Up Alert Before setting up the alert make sure that you have selected desired script, time frame, strategy settings, and APIbridge configuration. Click in settings add alert and paste {{strategy.order.comment}} in message box. Important: Do not change any settings during live trading. It may break the sequence of exit for the correct call/put.
Pine Script® stratejisi
algoji tarafından
30
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.
Pine Script® stratejisi
thequantscience tarafından
44
Forex Master v4.0 (EUR/USD Mean-Reversion Algorithm)DESCRIPTION Forex Master v4.0 is a mean-reversion algorithm currently optimized for trading the EUR/USD pair on the 5M chart interval. All indicator inputs use the period's closing price and all trades are executed at the open of the period following the period where the trade signal was generated. There are 3 main components that make up Forex Master v4.0: I. Trend Filter The algorithm uses a version of the ADX indicator as a trend filter to trade only in certain time periods where price is more likely to be range-bound (i.e., mean-reverting). This indicator is composed of a Fast ADX and a Slow ADX, both using the same look-back period of 50. However, the Fast ADX is smoothed with a 6-period EMA and the Slow ADX is smoothed with a 12-period EMA. When the Fast ADX is above the Slow ADX, the algorithm does not trade because this indicates that price is likelier to trend, which is bad for a mean-reversion system. Conversely, when the Fast ADX is below the Slow ADX, price is likelier to be ranging so this is the only time when the algorithm is allowed to trade. II. Bollinger Bands When allowed to trade by the Trend Filter, the algorithm uses the Bollinger Bands indicator to enter long and short positions. The Bolliger Bands indicator has a look-back period of 20 and a standard deviation of 1.5 for both upper and lower bands. When price crosses over the lower band, a Long Signal is generated and a long position is entered. When price crosses under the upper band, a Short Signal is generated and a short position is entered. III. Money Management Rule 1 - Each trade will use a limit order for a fixed quantity of 50,000 contracts (0.50 lot). The only exception is Rule Rule 2 - Order pyramiding is enabled and up to 10 consecutive orders of the same signal can be executed (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts). Rule 3 - Every order will include a bracket with both TP and SL set at 50 pips (note: the algorithm only closes the current open position and does not enter the opposite trade once a TP or SL has been hit). Rule 4 - When a new opposite trade signal is generated, the algorithm sends in a larger order to close the current open position as well as open a new one (for example: 14 consecutive Long Signals are generated over 8 hours and the algorithm sends in 10 different buy orders at various prices for a total of 350,000 contracts. A Short Signal is generated shortly after the 14th Long Signal. The algorithm then sends in a sell order for 400,000 contracts to close the 350,000 contracts long position and open a new short position of 50,000 contracts).
Pine Script® stratejisi
Stable_Camel tarafından
16
ISM Indicator As a Strategy Here's a very easy code, plotting the ISM against the SPX. In this exercise, i wanted to see if one could use the ISM indicator only to generate buy/sell signal, and what would be the performance. What is the ISM The ISM Manufacturing Index monitors employment, production inventories, new orders and supplier deliveries.By monitoring the ISM Manufacturing Index, investors are able to better understand national economic conditions. When this index is increasing, investors can assume that the stock markets should increase because of higher corporate profits. The opposite can be thought of the bond markets, which may decrease as the ISM Manufacturing Index increases because of sensitivity to potential inflation. Buy/Sell Signal ISM above 50 usually good economic condition and vice versa when below 50 . For this code I used 48.50 as my buy/sell signal line. Results To test this on a longer time period, I use the SPX index instead of SPY. The results are surprisingly good. 76.92% profitability with 3.03 profit factor. Conclusion Investors could use the ISM with other indicators to determine better entry and exit point. I will see if combining the ISM with other custom indicators , could generate better result. Feel free to share your results here. Cheers Algo.
Pine Script® stratejisi
Algokid tarafından
4
SPY Master v1.0This is a simple swing trading algorithm that uses a fast RSI-EMA to trigger buy/cover signals and a slow RSI-EMA to trigger sell/short signals for SPY, an xchange-traded fund for the S&P 500. The idea behind this strategy follows the premise that most profitable momentum trades usually occur during periods when price is trending up or down. Periods of flat price actions are usually where most unprofitable trades occur. Because we cannot predict exactly when trending periods will occur, the algorithm basically bets money on all trade opportunities during all market conditions. Despite an accuracy rate of only 40%, the algorithm's asymmetric risk/reward profile allows the average winner to be 2x the average loser. The end result is a positive (profitable) net payout. TRADING RULES: Buy/Cover = EMA3(RSI2) cross> 50 Sell/Short = EMA5(RSI2) cross< 50 BACKTEST SETTINGS: - Period = March 2011 - Present - Initial capital = $10,000 - Dividends excluded - Trading costs excluded PERFORMANCE COMPARISON: There are 657 trades, which means 1,314 orders. Assuming each order costs $2 (what I pay for at Interactive Brokers), total trading costs should be $2,628. -SPY (buy & hold) = 132.73 ---> 193.22 = +45.57% (dividends excluded) -SPY Master v1.0 = $12,649 - $2,628 = $10,021 = +100.21% DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
Pine Script® stratejisi
Stable_Camel tarafından
5
TopTenAlgo 10. SQZMOM Algorithmic Strategy with Alerts & SignalsEN: This Algorithm is a derivative of John Carter's "TTM Squeeze" volatility indicator. Many strategists have taken the indicator on Tradingview with simple moving averages and have looked at the biggest mistake only by dealing with squeeze and exit processes to squeeze. But I used the algorithm to determine where the markets would actually explode. For example, instead of using SMAs , I tested them on the Linear Regression Curve using Volume Weighted Moving Averages and Hull MAs. This gave me the opportunity to develop a more responsive algorithm and identify where the actual explosion would occur. The Gray Circles in the midline show that the market is entering a new jam (in the Bollinger Bands and Keltner Channel). This means low volatility , the market prepares itself for an explosive move (up or down). White Circles mean that it is about to get out of the jam. The Blue Circles, which no one can calculate, now inform that the exit is no longer jammed and that the explosion has taken place. Mr. Carter recommends that you wait until the first gray after a gray cross and take a position in the momentum direction (for example, if the momentum value is above zero, relax). Exit position when the momentum changes (increase or decrease, this is indicated by a color change). In this algorithm, I tried to achieve good entry points using an additional indicator such as ADX and WaveTrend. To draw the histogram, I used a different method based on Linear Regression . Mr.Carter uses a simple momentum indicator. Strategy, alarms and signals have been added to the indicator so that you can optimize in algorithmic trading. In summary, this algorithm is a strict algorithm in which additional 4-5 indicators are blended. Conveniences for Everyone ... TR: Bu Algoritma John Carter'ın "TTM Squeeze" volatilite göstergesinin bir türevidir. Bir çok stratejist Tradingview' de gösterge' yi basit hareketli ortalamalarla ele almış ve en büyük hatayı sadece sıkışma ve sıkışmadan çıkış süreçlerini ele alarak bakmışlardır. Fakat ben algoritmayı piyasaların asıl patlama yapacağı yeri tespit etmek için kullandım. Örneğin SMA' ları kullanmak yerine Hacim Ağırlıklı Hareketli Ortalamaları ve Hull MA' ları kullanarak onları Linerar Regresyon Eğrisinde stress testine tabi tuttum. Buda bana daha duyarlı bir algoritma geliştirmem ve asıl patlamanın olacağı yerleri tespit etmem için fırsat verdi. Orta hattaki Gri Daireler, piyasanın yeni bir sıkışmaya girdiğini gösteriyor ( Bollinger Bantları ve Keltner Kanalı'nda). Bu, düşük volatilite anlamına gelir, piyasa kendisini patlayıcı bir harekete hazırlar (yukarı veya aşağı). Beyaz Daireler ise sıkışmadan çıkmak üzere olduğu anlamına gelir. Hiç kimsenin hesap edemediği Mavi Daireler ise artık sıkışmadan çıkıldığını ve patlamanın gerçekleştiğini haber verir. Mr.Carter, gri bir çarpı işaretinden sonra ilk griye kadar beklemenizi ve momentum yönünde bir pozisyon almanızı önerir (örneğin, momentum değeri sıfırın üstünde ise, rahat olun). Momentum değiştiğinde pozisyondan çıkın (artırma veya azaltma, bunu o bir renk değişikliği ile belirtilir). Bu algoritmada ben, ADX ve WaveTrend gibi ek bir gösterge kullanarak iyi giriş noktalarıelde etmeye çalıştım. Histogramı çizmek için ise Linear Regresyon tabanlı farklı bir yöntem kullandım. Mr.Carter basit bir momentum göstergesi kullanır. Göstergeye algoritmik işlemlerde optimizasyon yapabilmeniz için strateji, alrmlar ve sinyaller eklenmiştir. Özetle bu algoritma ek 4-5 göstergenin harmanlandığı sıkı bir algoritmadır. Herkese Kolaylıklar dilerim...
Pine Script® stratejisi
nFinans tarafından
Session Breakout Scalper Trading BotHi Traders ! Introduction: I have recently been exploring the world of automated algorithmic trading (as I prefer more objective trading strategies over subjective technical analysis (TA)) and would like to share one of my automation compatible (PineConnecter compatible) scripts “Session Breakout Scalper”. The strategy is really simple and is based on time conditional breakouts although has more ”relatively” advanced optional features such as the regime indicators (Regime Filters) that attempt to filter out noise by adding more confluence states and the ATR multiple SL that takes into account volatility to mitigate the down side risk of the trade. What is Algorthmic Trading: Firstly what is algorithmic trading? Algorithmic trading also known as algo-trading, is a method of using computer programs (in this case pine script) to execute trades based on predetermined rules and instructions (this trading strategy). It's like having a robot trader who follows a strict set of commands to buy and sell assets automatically, without any human intervention. Important Note: For Algorithmic trading the strategy will require you having an essential TV subscription at the minimum (so that you can set alerts) plus a PineConnecter subscription (scroll down to the .”How does the strategy send signals” headings to read more) The Strategy Explained: Is the Time input true ? (this can be changed by toggling times under the “TRADE MEDIAN TIMES” group for user inputs). Given the above is true the strategy waits x bars after the session and then calculates the highest high (HH) to lowest low (LL) range. For this box to form, the user defined amount of bars must print after the session. The box is symmetrical meaning the HH and LL are calculated over a lookback that is equal to the sum of user defined bars before and after the session (+ 1). The Strategy then simultaneously defines the HH as the buy level (green line) and the LL as the sell level (red line). note the strategy will set stop orders at these levels respectively. Enter a buy if price action crosses above the HH, and then cancel the sell order type (The opposite is true for a stop order). If the momentum based regime filters are true the strategy will check for the regime / regimes to be true, if the regime if false the strategy will exit the current trade, as the regime filter has predicted a slowing / reversal of momentum. The image below shows the strategy executing these trading rules ( Regime filters, "Trades on chart", "Signal & Label" and "Quantity" have been omitted. "Strategy label plots" has been switched to true) Other Strategy Rules: If a new session (time session which is user defined) is true (blue vertical line) and the strategy is currently still in a trade it will exit that trade immediately. It is possible to also set a range of percentage gain per day that the strategy will try to acquire, if at any point the strategy’s profit is within the percentage range then the position / trade will be exited immediately (This can be changed in the “PERCENT DAY GAIN” group for user inputs) Stops and Targets: The strategy has either static (fixed) or variable SL options. TP however is only static. The “STRAT TP & TP” group of user inputs is responsible for the SL and TP values (quoted in pips). Note once the ATR stop is set to true the SL values in the above group no longer have any affect on the SL as expected. What are the Regime Filters: The Larry Williams Large Trade Index (LWLTI): The Larry Williams Large Trade Index (LWTI) is a momentum-based technical indicator developed by iconic trader Larry Williams. It identifies potential entries and exits for trades by gauging market sentiment, particularly the buying and selling pressure from large market players. Here's a breakdown of the LWTI: LWLTI components and their interpretation: Oscillator: It oscillates between 0 and 100, with 50 acting as the neutral line. Sentiment Meter: Values above 75 suggest a bearish market dominated by large selling, while readings below 25 indicate a bullish market with strong buying from large players. Trend Confirmation: Crossing above 75 during an uptrend and below 25 during a downtrend confirms the trend's continuation. The Andean Oscillator (AO) : The Andean Oscillator is a trend and momentum based indicator designed to measure the degree of variations within individual uptrends and downtrends in the prices. Regime Filter States: In trading, a regime filter is a tool used to identify the current state or "regime" of the market. These Regime filters are integrated within the trading strategy to attempt to lower risk (equity volatility and/or draw down). The regime filters have different states for each market order type (buy and sell). When the regime filters are set to true, if these regime states fail to be true the trade is exited immediately. For Buy Trades: LWLTI positive momentum state: Quotient of the lagged trailing difference and the ATR > 50 AO positive momentum state: Bull line > Bear line (signal line is omitted) For Sell Trades: LWLTI negative momentum stat: Quotient of the lagged trailing difference and the ATR < 50 AO negative momentum state: Bull line < Bear line (signal line is omitted) How does the Strategy Send Signals: The strategy triggers a TV alert (you will neet to set a alert first), TV then sends a HTTP request to the automation software (PineConnecter) which receives the request and then communicates to an MT4/5 EA to automate the trading strategy. For the strategy to send signals you must have the following At least a TV essential subscription This Script added to your chart A PineConnecter account, which is paid and not free. This will provide you with the expert advisor that executes trades based on these strategies signals. For more detailed information on the automation process I would recommend you read the PineConnecter documentation and FAQ page. Dashboard: This Dashboard (top right by defualt) lists some simple trading statistics and also shows when a trade is live. Important Notice: - USE THIS STRATEGY AT YOUR OWN RISK AND ALWAYS DO YOUR OWN RESEARCH & MANUAL BACKTESTING ! - THE STRATEGY WILL NOT EXHIBIT THE BACKTEST PERFORMANCE SEEN BELOW IN ALL MARKETS !
Pine Script® stratejisi
Amjad_S tarafından
9
MZ HTF HFT ROCit Bot - Non Repainting Scalper v1.2 ADX RSI MOM This is a new iteration based on my Momentum trading bot. This is an original script meant to be a high frequency trader that works on higher time frame calculations. I came up with the idea that using calculus I can figure out the actual rate of change and momentum with different calculations than the momentum indicator that is provided by trading view. Once momentum is shifted on a small time frame, it will provide an entry signal. The script is meant to be used on an algorithmic trading system for scalping purposes. It should be run on a one minute time frame. Unfortunately due to various plotting constraints in Pinescript, you cannot plot the rate of change and momentum and price in the same pane. To counter this, I have a showdata toggle to give you values of the indicators at each entry. This version has two main entry settings toggled with a checkbox. There is the ROC (rate of change) version and the MOM (momentum) entry signals. The rate of change version is meant to take a look at your moving average and try to trigger when it hits a certain rate of change point. This can be helpful if you rather play it safer. I have noticed that you can get slightly better entry points but also does not give you as many entries. The momentum algorithm will give you faster entry points and might work best with a slight offset (use your back test to help you figure it out). I have started to add tooltips to help you along. If you have suggestions please let me know. How does it work? Let's just assume that you are looking at a one minute chart. I recommend using the one minute for bots because it will give you the fastest execution for entries. Pinescript has an issue where the signal is not usually sent until the end of the bar/beginning of next bar. If the signal was triggered at the beginning of a 15 minute bar, it might not actually send the signal until the following 15 minute bar. If you are trading on small time frames, this can make all the difference. If you are using an algo platform that trailing stops, stop losse, take profits, etc. I would recommend you use that platform to close your trade. The close trade message will work, but pinescript does not know the exact entry price you received, so if you are trying to collect small profits, it is best that intermediary platform does that calculation for you. If you are dealing with larger moves, instead of small 1-3% scalps, you are probably fine to use the close message setting from pinescript. Ok, so to take an example. I like to use the 3L and 3S tokens on Kucoin. This gives you a lot of volatility to work with compared to other tokens and coins. However, it can also meas that you are likely taking a higher risk. However, there are some things that can help with that (more on that later). So we have a token we want to run, and have it on the 1m chart. First, be sure that all of your filters are OFF when you start playing with the back test. This allows you to see how to best optimize the bot. Use the show data to show you additional data when you are backtesting. This can allow you to try to filter out results or market conditions that do not work. I typically work with the RSI and use the 30 minute and 15 minute RSIs. I make sure that it is trading within a certain band - about 40-75. You can try the inverse and only buy during really low RSI's as well. www.dropbox.com Find the source of your data with the variant drop down. You can use any time frame, open, close. high, low, olc4. Open is pretty much guaranteed to not have any repainting issues - although all the other calcs use a custom isbarconfirmed security repaint calculation. I have been finding that Open and SMA work well, but feel free to explore. If you use a source like open, close, high, low, etc - the interval will not change anything further. If you use a variant such as an sma, you should try to find an interval that works well for that token. For instance, try an sma of 8-11 minutes and see which gives you the best backtest result without changing anything else. Offset ALMA/LSMA parameters are only used for those specific variants. These specific parameters will also affect the ALMA and LSMA if you use that variant in the trend filter. In other words, you can skip these if you are not using those types of moving averages. www.dropbox.com Configure the ROC and MOM intervals. If you are using a source such as open, close, etc- this is where you set the interval for your change. So consider using OHLC4 or a interval of 5 thru 15 and see what works best. The Momentum inverval usually works best in the 2-5 bars. There is a custom calculation I added in to try to filter out false entries as momentum is waning. This calculation works best in 2-5 bar interval. Configure the trigger point and offset. If you are using rate of change, the best settings will likely be between -1 to 0.5. If you are using momentum, you will likely want -20 to 10. This is where you will notice the entries will shift a bit. Try to find a balance between your backtest settings and actually finding what you thin will be the best entries based on a slight delay from trading view, to algo, to your trading platform. This can likely be a minute (maybe even) or so- so be sure to not get too caught up between the backtest results and be sure to finesse the entries to actually fit nicely - maybe a bar earlier than you would likely think. If your entries are coming in too early, you can use the offset to delay your entry by a few bars. This is both science and an art form- don't get too caught up on the back test results as that is based on having all the data tha already transpired, it's not based on how it will actually perform during deployment. Take profit and stop loss. This should be self explanatory. This script can toggle between static take profit and a trailing profit. For scalping, you will likely want to limit it below 2% to get a good win ratio. Stop loss should be at least 5-6% for these types of 3L/3S tokens to give the strategy some room to move (if the token goes down 2% before it shoots back up, the price will go down 6%). This does not yield the best R/R ratio from a traditional trader perspective, but the statistical probabilities are in your favor for these events will happen. If you have better ideas for how to set this all up, feel free to contribute your ideas in the comments as we can all learn from each other. You can definitely set a much tighter stop loss with a larger take profit to get a lower win rate but in turn might get much better returns. It's all up to you. FILTERS www.dropbox.com These filters require you to know a bit about each indicator and how you want to use them. I will only go over the general idea. Variant Filter - this is especially useful if you want to trade above a moving average. Say for instance you only want to take trades when we are over the 100 Day moving average. Or above a 30 minute, 30 bar EMA, etc. Although originally ported over from my other scripts, this is not a filter that I use often in conjunction with this script. RSI - perhaps you want to buy when we are below the 30 line on the 30 minute RSI, or we want only want to have the strategy work when we are above the 50 RSI, this can all be configured here. I typically like to try a few different rationales here. Now with brand NEW ADX filter - this is a brand new idea that seems to work rather well. Based on your ADX settings you can also turn on the "only uptrend" which will try to calculate if you are in an uptrend based on your ADX config. Please keep in mind that uptrend is based relatively on the ADX settings. - There is a sprinkle of RSI magic in the entry signal to make sure that rsi is not declining in the calculation, so this can affect how many entries you get. Some other tips: Forward test. Set up your algo bot on a one minute interval. Set up take profit and stop loss on your algo trading platform. Don't use the exact settings as your backtest, maybe try a slightly more conservative approach from the algo trading platform to make sure you are within range of triggering your events with a slight delay from signal to execution. If you have a 1.6% take profit, perhaps try 1.5% on your platform first. By using these scripts you agree that you are trading at your own risk. I make no guarantees of returns or results. I just provide tools to help you trade better. However, I hope this ROCit will take you to the moon. And if it does, be sure to give me a shout as well as some tips of your own. Send me a message with any questions or suggestions.
Pine Script® stratejisi
MauricioZuniga tarafından
19
Liquidity Trading Algorithm (LTA) The Liquidity Trading Algorithm is an algorithm designed to provide trade signals based on liquidity conditions in the market. The underlying algorithm is based on the Liquidity Dependent Price Movement (LDPM) metric and the Liquidity Dependent Price Stability (LDPS) algorithm. Together, LDPM and LDPS demonstrate statistically significant forecasting capabilities for price- action on equities, cryptocurrencies, and futures. LTA takes these liquidity measurements and translates them into actionable insights by way of entering or exiting a position based on the future outlooks, as measured by the current liquidity status. The benefit of LTA is that it can incorporate these powerful liquidity measurements into actionable insights with several features designed to help you tailor LTA's behavior and measurements to your desired vantage point. These customizable features come by the way of determining LTA's assessment style, and additional monitoring systems for avoiding bear and bull traps, along with various other quality of life features, discussed in more detail below. First, a few quick facts: - LTA is compatible on a wide array of instruments, including Equities, Futures, Cryptocurrencies, and Forex. - LTA is compatible on most intervals in so long as the data can be calculated appropriately, (be sure to do a backtest on timescales less than 1-minue to ensure the data can be computed). - LTA only measures liquidity at the end of the interval of the chart chosen, and does not respond to conditions during the candle interval, unless specified (such as with `Stops`). - LTA is interval-dependent, this means it will measure and behave differently on different intervals as the underlying algorithms are dependent on the interval chosen. - LTA can utilize fractional share sizing for cryptocurrencies. - LTA can be restricted to either bullish or bearish indications. - Additional Monitoring Systems are available for additional risk mitigation. In short, LTA is a widely applicable, unique algorithm designed to translate liquidity measurements into liquidity insights. Before getting more into the details, here is a quick list of the main features and settings available for customization: - Backtesting Start Date: Manual selection of the start date for the algorithm during backtesting. - Assessment Style: adjust how LDPM and LDPS measure and respond to changes in liquidity. - Impose Wait: force LTA to wait before entering or exiting a position to ensure conditions have remained conducive. - Trade Direction Allowance: Restrict LTA to only long or only short, if desired. - Position Sizing Method: determine how LTA calculates position sizing. - Fractional Share Sizing: allow LTA to calculate fractional share sizes for cryptocurrencies - Max Size Limit: Impose a maximum size on LTA's positions. - Initial Capital: Indicate how much capital LTA should stat with. - Portfolio Allotment: Indicate to LTA how much (in percentages) of the available balance should be considered when calculating position size. - Enact Additional Monitoring Systems: Indicate if LTA should impose additional safety criteria when monitoring liquidity. - Configure Take Profit, Stop-Loss, Trailing Stop Loss - Display Information tables on the current position, overall strategy performance, along with a text output showing LTA's processes. - Real-time text output and updates on LTA's inner workings. Let's get into some more of the details. LTA's Assessment Style LTA's assessment style determines how LTA collects and responds to changing data. In traditional terms, this is akin to (but not quite exactly the same as) the sensitivity versus specificity spectrum, whereby on one end (the sensitive end), an algorithm responds to changes in data in a reactive manner (which tends to lower its specificity, or how often it is correct in its indications), and on the other end, the opposite one, the algorithm foresakes quick changes for longevity of outlook. While this is in part true, it is not a full view of the underlying mechanisms that changing the assessment style augments. A better analogy would be that the sensitive end of the spectrum (`Aggressive`) is in a state such that the algorithm wants to changing its outlooks, and as such, with changes in data, the algorithm has to be convinced as to why that is not a good idea to change outlooks, whereas the the more specific states (`Conservative`, `Diamond`) must be convinced that their view is no longer valid and that it needs to be changed. This means the `Aggressive` and the `Diamond` settings fundamentally differ not just in their data collection, but also in the data processing such that the `Aggressive` decision tree has to be convinced that the data is the same (as its defualt is that it has changed), and the `Diamond` decision tree has to be convinced that the data is not the same, and as such, the outlook need changed. From there, the algorithm cooks through the data and determines to what the outlook should be changed to, given the current state of liquidity. `Balanced` lies in the middle of this balance, attempting to balance being open to new ideas while not removing the wisdom of the past, as it were. On a scale of most `sensitive` to most `specific`, it is as follows: `Aggressive`, `Balanced`, `Conservative`, `Diamond`. Functionally, these different modes can help in different liquidity environments, as certain environments are more conducive to an eager approach (such as found near `Aggressive`) or are more conducive to a more conservative approach, where sudden changes in liquidity are known to be short-lived and unremarkable (such as many previously identified bull or bear traps). For instance, on low interval views, it can often-times be beneficial to keep the algorithm towards the `Sensitive` end, since on the lower-timeframes, the crosswinds can change quite dramatically; whereas on the longer intervals, it may be useful to maintain a more `Specific` algorithm (such as found near `Diamond` mode) setting since longer intervals typically lend themselves to longer time-horizons, which themselves typically lend themselves to "weathering the storm", as it were. LTA's Assessment Style is also supported by the Additional Monitoring Systems which works to add sensitivity without sacrificing specificity by enacting a separate monitoring system, as described below. Additional Monitoring Systems The Additional Monitoring System (AMS) attempts to add more context to any changes in liquidity conditions as measured, such that LTA as a whole will have an expanded view into any rapidly changing liquidity conditions before these changes manifest in the traditional data streams. The ideal is that this allows for early exits or early entrances to positions "a head of time". The traditional use of this system is to indicate when liquidity is suggestive of the end of a particular run (be it a bear run or a bull run), so an early exit can be initiated (and thus, downside averted) even before the data officially showcase such changes. In such cases (when AMS becomes activated), the algorithm will signal to exit any open positions, and will restrict the opening of any new positions. When a position is exited because of AMS, it is denoted as an `Early Exit` and if a position is prevented from being entered, the text output will display `AM prevented entry...` to indicate that conditions are not meeting AMS' additional standards. The algorithm will wait to make any actions while `AMS` is `active` and will only enter into a new position once `AMS` has been `deactivated` and overall liquidity conditions are appropriate. Functionally, the benefits of AMS translate to: - Toggeling AMS on will typically see a net reduction in overall profitability, but - AMS will typically (almost always) reduce max drawdown, an increases in max runup, and increase return-over-maxdrawdown, and - AMS can provide benefit for equities that experience a lot of "traps" by navigating early entrance and early exits. So in short, AMS is way of adding an additional level of liquidity monitoring that attempts to exit positions if conditions look to be deteriorating, and to enter conditions if they look to be improving. The cost of this additional monitoring, however, is a greater number of trades indicated, and a lower overall profitability. Impose Wait Note: `Impose Wait` will not force Take Profit, Stop Loss, or Trailing Stop Loss to wait. LTA can be indicated to `wait` before entering or exiting a position if desired. This means that if conditions change, whereas without a `wait` imposed, the algorithm would immediately indicate this change via a signal to alter the strategy's position, with a `wait` imposed, the algorithm will `wait` the indicated number of bars, and then re-check conditions before proceeding. If, while waiting, conditions change to a state that is no longer compatible with the "order-in- waiting", then the order-in-waiting is removed, and the counts reset (i.e.: conditions must remain favorable to the intended positional change throughout the wait period). Since LTA works at the end-of-intervals, there is an inherently "built-in" wait of 1 bar when switching directly from long to short (i.e.: if a full switch is indicated, then it is indicated as conditions change -> exit new position -> wait until -> check conditions -> enter new position as indicated). Thus, to impose a wait of `1 bar` would be to effectively have a total of two candles' ends prior to the entrance of the new position). There are two main styles of `Impose Wait` that you can utilize: - `Wait` : this mode will cause LTA to `wait` when both entering and exiting a position (in so long as it is not an exit signaled via a Take Profit, Stop Loss or Trailing Stop Loss). - `Exit-Wait` : This mode will >not< cause LTA to `wait` if conditions require the closing of a position, but will force LTA to wait before entering into a position. Position: In addition to the availability to restrict LTA to either a long-only or short-only strategy, LTA also comprises additional flexibility when deciding on how it should navigate the markets with regards to sizing. Notably, this flexibility benefits several aspects of LTA's existence, namely the ability to determine the `Sizing Method`, or if `Fractional Share Sizing` should be employed, and more, as discussed below. Position Sizing Method There are two main ways LTA can determine the size of a position. Either via the `Fixed-Share` choice, or the `Fixed-Percentage` choice. - `Fixed-Share` will use the amount indicated in the `Max Sizing Limit` field as the position size, always. Note: With `Fixed-Share` sizing, LTA will >not< check if the balance is sufficient prior to signaling an entrance. - `Fixed-Percentage` will use the percentage amount indicated in the `Portfolio Allotment` field as the percentage of available funds to use when calculating the position size. Additionally, with the `Fixed-Percentage` choice, you can set the `Max Sizing Limit` if desired, which will ensure that no position will be entered greater than the amount indicated in the field. Fractional Share Sizing If the underlying instrument supports it (typically only cryptocurrencies), share sizing can be fractionalized. If this is done, the resulting positin size is rounded to `4 digits`. This means any position with a size less than `0.00005` will be rounded to `0.0000` Note: Ensure that the underlying instrument supports fractional share sizing prior to initiating. Max Sizing Limit As discussed above, the `Max Sizing Limit` will determine: - The position size for every position, if `Sizing Method : Fixed-Share` is utilized, or - The maximum allowed size, regardless of available capital, if `Sizing Method : Fixed-Percentage` is utilized. Note: There is an internal maximum of 100,000 units. Initial Capital Note: There are 2 `Initial Capital` settings; one in LTA's settings and one in the `Properties` tab. Ensure these two are the same when doing backtesting. The initial capital field will be used to determine the starting balanace of the strategy, and is used to calculate the internal data reporting (the data tables). Portfolio Allotment You can specify how much of the total available balance should be used when calculating the share size. The default is 100%. Stops Note: Stops over-ride `AMS` and `Impose Wait`, and are not restricted to only the end-of-candle and will occur instantaneously upon their activation. Neither `AMS` nor `Impose Wait` can over-ride a signal from a `Take-Profit`, `Stop-Loss`, or a `Trailing-Stop Loss`. LTA enhouses three stops that can be configured, a `Take-Profit`, a `Stop-Loss` and a `Trailing-Stop Loss`. The configurations can be set in the settings in percent terms. These exit signals will always over-ride AMS or any other restrictions on position exit. Their configuration is rather standard; set the percentages you want the signal to be sent at and so it will be done. Some quick notes on the `Trailing-Stop Loss`: - The activation percentage must be reached (in profits) prior to the `Traililng-Stop Loss` from activating the downside protection. For example, if the `Activation Percentage` is 10%, then unless the position reaches (at any point) a 10% profit, then it will not signal any exits on the downside, should it occur. - The downside price-point is continuously updated and is calculated from the maximum profit reached in the given position and the loss percentage placed in the appropriate field. Data Tables and Data Output LTA provides real-time data output through a variety of mechanisms: - `Position Table` The `Position Table` displays information about the current position, including: > Position Duration : how long the position has been open for. > Indicates if the side is Long or Short, depending on if it is long or short. > Entry Price: the price the position was entered at. > Current Price (% Dif): the current price of the underlying and the %-difference between the entry price and the current price. > Max Profit ($/%): the maximum profit reached in $ and % terms. > Current PnL ($/%) : the current PnL for the open position. - `Performance Table` The `Performance Table` displays information regarding the overall performance of the algorithm since its `Start Date`. These data include: > Initial Equity ($): The initial equity the algorithm started with. > Current Equity ($): The current total equity of the account (including open positions) > Net Profits ($|%) : The overall net profit in $ and % terms. > Long / Short Trade Counts: The respective trade counts for the positions entered. > Total Closed Trades: The running sum of the number of trades closed. > Profitability: The calculation of the number of profitable trades over the total number of trades. > Avg. Profit / Trade: The calculation of the average profit per trade in both $ and % terms. > Avg. Loss / Trade: The calculation of the average loss per trade in both $ and % terms. > Max Run-Up: The maximum run-up the algorithm has seen in both $ and % terms. > Max Drawdown: The maximum draw-down the algorithm has seen in both $ and % terms. > Return-Over-Max-Drawdown: the ratio of the maximum drawdown against the current net profits. - `Text Output` LTA will output, if desired, signals to the text output field every time it analysis or performs and action. These messages can include information such as: " 08:00:00 >> AM Protocol activated ... exiting position ... 08:00:00 >> Exit Order Created for qty: 2, profit: 380 (4.34%) ... 09:30:00 >> Checking conditions ... 09:30:00 >> AM protocol prevented entry ... waiting ... " This way, you can keep an eye out on what is happening "under the hood", as it were. LTA will produce a message at the end of its assessment at the end of each candle interval, as well as when a position is exited due to a `Stop` or due to `AMS` being activated. Additionally, the `Text Output` includes a initial message, but for space-constraints, this can be toggled off with the `Blank Text Output` option within LTA's configurations. For additional information, please refer to the Author's Instructions below.
Pine Script® stratejisi
DeepDiveStocks tarafından
2
Broadview Algorithmic StudioWelcome! This is the writeup for the Broadview Algorithmic Studio. There are many unique features in this script. - Broadview Underpriced & Overpriced - Broadview Blackout Bollinger Bands - Trailing Take Profit Suite - Algorithmic Weights - VSA Score - Pip Change Log - Activation Panel - Weight Scanner There are 116 primary inputs that allow users to algorithmically output unique DCA signal-sets. There are 85 inputs that allow users to control individual lengths, levels, thresholds, and multiplicative weights of the script. You will not find any other script with this many inputs, properly strung together for you to produce unlimited strategies for any market. The entire premise for the Broadview Algorithmic Studio is for users to be able to have extensive-cutting-edge features that allow them to produce more strategies, having control over every element that outputs a signal set. The number of unique strategies you can output with this script is VAST, and each continues to follow a safe DCA methodology. This script is ready for use with 3Commas, interactive brokers, and other means of automation. It provides detailed information on Base Orders and Safety Orders, giving the number, cumulative spending, position average, and remaining balance for each SO in the series. Using this script we will explore the depths of strategic volume scaling, and the algorithms we use to determine spending. Let me first start by saying the number of safe DCA-friendly signal-sets this script can output is absolutely staggering. Let's limit the scope just to the Broadview Underpriced & Overpriced and Broadview Dominance indicators. Each band of the Dominance Suite can be controlled individually with unique lengths, levels, and weights. This means the Dominance Suite can establish Bearish or Bullish dominance, in any market condition, and give it a unique overloading weight. The Broadview Underpriced & Overpriced indicator finally gives us the ability to establish these "market conditions" first with cycles. Of all the cycles this indicator establishes, the two primary are Underpriced & Overpriced. We determine this using a composite Overbought & Oversold with an Exponential Moving Average. So the script can now know, what cycle it is in, who is dominant during that cycle, and exactly how much weight in volume scaling the order should have. Brand new is the ability for indicators of this level to be able to talk together in a single script. The Broadview Underpriced & Overpriced indicator and the Broadview Dominance indicator can inform one another across multiple vectors, create a unique market snapshot, and give that snapshot a unique weight every bar. The unique weight is compiled in the volume scaling math, thus giving us an automated-strategic-safe and quite efficient volume scaling for every order. In our coming updates we will explore this synergy to its very deepest layers. These indicators can be laced together in many ways, called vectors. Only in the Algorithmic Studio do we explore these depths and yield those findings, features, and inputs to the user. Let me take a quick break to explain another area-of-opportunity for our research and development. The VSA Score is something we've tried before, but until the creation of the Broadview Blackout Bollinger Bands Auto Indicator it was not possible. The concept we want to explore is "Positional Honing". Over time we want users and the script itself to be able to understand the difference between a script-config that produces a high number of Hits, from a configuration that produces a high number of "Misses". The Volume Scaling Accuracy Score uses the BBB Auto Indicator as a heavily reliable, non-repainting, method of determining what the very-best signals for increased volume-scaling are. Increased volume scaling is denoted by the near-white highlighter line running vertically. This line will either fall inside the BBB Auto Indicator bands (which are hidden), or, they will fall below and outside the BBB Auto bands. If increased spending happens inside the bands it's a "Miss". If increased spending happens below and outside the bands, it's a Hit. Oftentimes misses are actually pretty good spots for extra spending, which helps lower your position average, but Hits are always better. The Hits that the BBB Auto Indicator provides are extremely good. Let's talk about the Trailing Take Profit Suite. This suite allows us to set a trailing take profit which is a feature that lets one maximize their profits. If the trailing take profit is engaged, then when the regular take profit is hit, it will trigger, denoted in red vertical lines, and the trailing take profit will look for a specified rate of change before it actually takes profit. This usually helps traders in those times when their regular take profit was set too low, allowing them to maximize their profits with a Trailing Take Profit. For the moment, let's think about our scores. In the dashboard you'll notice a score beginning the Pip Change Log, the VSA Score, and the Activation Panel. These scores use a new kind of logistic correlation formula where 4 digits are given to activation, rather than 1. This is to allow room for a future concept in AI we call "Deadzones" or you can think of it as impedance. This is not a bias in logistic regression. It's an entirely different concept. A neuron, which a perceptron attempts to mimic, has a bias.. but it also has a sort of electrical resistance. This is because a neuron is individually-alive entity. So a perceptron, as it were, would need to have both a bias and a natural resistance, or deadzone. It is a lot of fun to watch the scores and how they react during playback. They tend to smooth trends but are also quite quick to correct to accuracy. In the future we will add the deadzones and biases to the scores. This should help both users and the script produce better signal sets. The Pip Change Log is an indicator that measures Rate of Change in Pips. This is one that I am particularly excited to study, as I am a huge fan of ROC. The Activation Panel shows these scores for 4 primary indicators: On Balance Volume, Relative Strength Index, Average Directional Index, and Average True Range. Having the Pip Change Log, VSA Score, and Activation Panel up on the dashboard with their logistic correlation scores allows traders to study markets and setups quite intimately. The weight scanner at the bottom allows users to track the cumulative applied multiplicative weights during playback. The massive number of inputs, connected vectors of indicators, input-weights, lengths, levels, and thresholds sets up all the algorithmic infrastructure for powerusers to explore every idea and strategy output they could imagine. Also with the connected vector infrastructure we can deepen our indicators in a way where, "How they talk to each other.", comes first in every development conversation. The Algorithmic Studio is for the Power-user. These are not basic equations coming together to determine spending. This is a massive multi-layered-perceptron with everything from Trailing-Take-Profits to strategic-automatic algorithmic downscaling. The Broadview Algorithmic Studio gives a home to the poweruser who wants access to everything in a trading and investing AI, right up until the backpropagation. The Broadview Algorithmic Studio, gives users the ability to sit in the chair of the would-be AI. Thank you.
Pine Script® stratejisi
UnknownUnicorn38161102 tarafından
3
Orion Algo Strategy v2.0Hi everyone. I decided to make the latest Orion Algo open to people. I don't have enough time to work on it lately, so I figured it would be best that everyone can have it to work on it. I took out some stuff from the original but it should give an idea on how things work. I made two strategies with this so far so you can use that to come up with your own. I recommend the DCA strategy because it gives you the most bang for Orion Algo's buck. It's pretty good at finding long entries. Overall I hope you guys like this one. Also, Banano is the best crypto currency :) -INFO- Orion Algo is a trading algorithm designed to help traders find the highs and lows of the market before, during, and after they happen. We wanted to give an indicator to people that was simple to use. In fact we created the algorithm in such a way that it currently only needs a single input from the user. Since no indicator can predict the market perfectly, Orion should be used as just another tool (although quite a sharp one) for you to trade with. Fundamental knowledge of price action and TA should be used with Orion Algo. Being an oscillator, Orion currently has a bias towards market volatility . So you will want to be trading markets over 30% volatility . We have plans to develop future versions that take this into account and adjust automatically for dead conditions. Also, while there are some similarities across all oscillators, what sets ours apart is the prediction curve. The prediction curve looks at the current signal values and gives it a relative score to approximate tops and bottoms 1-2 bars ahead of the signal curve. We also designed a velocity curve that attempts to predict the signal curve 2+ bars ahead. You can find the relative change in velocity in the Info panel. The bottom momentum wave is based on the signal curve and helps find overall market direction of higher time-frames while in a lower one. Settings and How to Use them: User Agreement – Orion Algo is a tool for you to use while trading. We aren’t responsible for losses OR the gains you make with it. By clicking the checkbox on the left you are agreeing to the terms. Super Smooth – Smooths the main signal line based on the value inside the box. Lower values shift the pivot points to the left but also make things more noisy. Higher values move things to the right making it lag a bit more while creating a smoother signal. 8 is a good value to start with. Theme – Changes the color scheme of Orion. Dashboard – Turns on a dashboard with useful stats, such as Delta v, Volatility , Rsi , etc. Changing the value box will move the dashboard left and right. Prediction – A secondary prediction model that attempts to predict a reversal before it happens (0-2bars). This can be noisy some times so make your best judgement. Curve will toggle a curve view of the prediction. Pivots will toggle bull/bear dots. ∆v – Delta v (change in velocity). This shows momentum of the signal. Crossing 0 signals a reversal. If you see the delta v changing direction, it may signify a reversal in the several bars depending on the overall momentum of the market. Momentum Wave – Uses the signal as a macro trend indicator. Changes in direction of the wave can signify macro changes in the market. Average will toggle an averaging algorithm of the momentum waves and makes it easy to understand. -STRATEGIES- Simple - Just buy and sell on the dots DCA - Uses the settings in the script for entries. If a buy dot appears then it will buy, if the price goes below the percentage it will wait for another dot before entering. This drastically improves DCA potential.
Pine Script® stratejisi
OrionAlgo tarafından
51