CBMA Bollinger Bands Strategy directed [ChuckBanger]I just did a Bollinger Bands script with my newly CB moving average
While I'm generally against posting strategies because it's very easy to fake performance numbers... This is just to share a cool strategy snippet. My settings are 10 contracts/order with pyramiding set to 10. You can make the profitability a lot higher if you set the order size higher. But that dosent help you getting more out of this script when u make a bot of this script. I set the order size to 10 contracts to get your attention not to showcase the performance.
When the price is going down and outside of the lower side of the band. And when the price comes back into the channel the strategy buys. Usually that means the price is going up. And when the price is going up and outside of the upper band. The strategy sells when it crosses back in to the channel.
It is a very simple strategy but it is effective. I guess you need a proper stop-loss for this script to bee really profitable in a bot environment.
Cari dalam skrip untuk "profit"
BitMEX pump catcher - MACDThis is a modified version of the BitMEX pump catcher by Jomy .
I have tweaked the algorithm to use the difference in MACD to get the correct direction of entries rather than using direction of candles which are not always indicative of trend direction. These changes increase net profit, profitable trades, while reducing drawdown.
Below is a copy and paste of Jomy's explanation of the algorithm.
What is going on here? This strategy is pretty simple. We start by measuring a very long chunk of volume history on BitMEX:XBTUSD 1 hour chart to find out if the current volume is high or low. At 1.0 the indicator is showing we are at 100% of normal historical volume . The blue line is a measure of recent volume! This indicator gets interested when the volume drops below 90% of the regular volume (0.9), and then comes back up over 90%. There's usually a pump of increased price activity during this time. When the 0.9 line is crossed by the blue line, the indicator surveys the last 2 bars of price action to figure out which way we're going, long or short. Green is long. Red is short. To exit the trade we use a 7 period fast ema of the volume crossing under an 11 ema slower period which shows declining interest in the market signifying an end to the pump or dump. The profit factor is quite high with 5x leverage, but historically we see 50% drawdown -- very risky. 1x leverage looks nice and tight with very low drawdown. Play with the inputs to see what matches your own risk profile. I would not recommend taking this into much lower timeframes as trading fees are not included in the profit calculations. Please don't get burned trading on stupid high leverage. This indicator is probably not going to work well on alts, as Bitcoin FOMO build up and behavior is different. This whole indicator is tuned to Bitcoin , and attempts to trade only the meatiest part of the market moves.
Jomy should get full credit to this indicator
SMA_Cross + RSI1. long
a. RSI does not open an order when it is overbought, until the RSI falls below a certain threshold, and then open a position
b. There are already many positions. If the RSI is overbought, it will be profitable. When the RSI falls below a certain threshold, open a long position again until the moving average crossover signal turns short.
2. Short
a. RSI does not open an order when it is oversold, and then opens a position after RSI rises to a certain threshold
b. There are already short positions. If the RSI is oversold, it will be profitable to close the short position. When the RSI rises above a certain threshold, open the short position again until there is a reversal of the moving average crossing signal.
1. 做多
a. RSI在超买区间时不开单，直到RSI回落到某个阈值之下，再开仓
b. 已经有多仓，如果RSI超买，则平多获利，当RSI回落到某个阈值之下后，再次开多，直到有均线交叉信号反转做空
2. 做空
a. RSI在超卖区间时不开单，直到RSI上升到某个阈值之后，再开仓
b. 已经有空仓，如果RSI超卖，则平空获利，当RSI上升到某个阈值之上后，再次开空，直到有均线交叉信号反转做多
NR4 / NR7 + Inside BarIndicator Script for identifying Narrow Range 4 / 7 + Inside Bar
It also helps to check whether NR4 / NR7 breakout trading has been profitable or not in the past in a particular instrument.
It has helped me to select profitable scripts and avoid losing ones. Can be used for anytime frame.
SIGNAL
NR4 == Narrowest range of 4 periods + signal day is an inside bar
NR4 & NR7 == Narrowest range of 7 periods + signal day is an inside bar
SIGNAL "PROFIT" -
Prior day was NR4 / NR7 and next day price broke out of prior day range in 1 direction and closed in the direction of breakout away from breakout price, resulting in a profit trade.
SIGNAL "LOSS" -
Prior day was NR4 / NR7 and next day price broke out of prior day range and returned back to close inside the narrow zone OR went in opposite direction after the initial breakout, resulting in a loss trade.
TradingView Alerts to MT4 MT5 + dynamic variables NON-REPAINTINGAccidentally, I’m sharing open-source profitable Forex strategy. Accidentally, because this was aimed to be purely educational material. A few days ago TradingView released a very powerful feature of dynamic values from PineScript now being allowed to be passed in Alerts. And thanks to TradingConnector, they could be instantly executed in MT4 or MT5 platform of any broker in the world. So yeah - TradingConnector works with indices and commodities, too.
The logic of this EURUSD 6h strategy is very simple - it is based on Stochastic crossovers with stop-loss set under most recent pivot point. Setting stop-loss with surgical precision is possible exactly thanks to allowance of dynamic values in alerts. TradingConnector has been also upgraded to take advantage of these dynamic values and it now enables executing trades with pre-calculated stop-loss, take-profit, as well as stop and limit orders.
Another fresh feature of TradingConnector, is closing positions only partly - provided that the broker allows it, of course. A position needs to have trade_id specified at entry, referred to in further alerts with partial closing. Detailed spec of alerts syntax and functionalities can be found at TradingConnector website. How to include dynamic variables in alert messages can be seen at the very end of the script in alertcondition() calls.
The strategy also takes commission into consideration.
Slippage is intentionally left at 0. Due to shorter than 1 second delivery time of TradingConnector, slippage is practically non-existing. This can be achieved especially if you’re using VPS server, hosted in the same datacenter as your brokers’ servers. I am using such setup, it is doable. Small slippage and spread is already included in commission value.
This strategy is NON-REPAINTING and uses NO TRAILING-STOP or any other feature known to be faulty in TradingView backtester. Does it make this strategy bulletproof and 100% success-guaranteed? Hell no! Remember the no.1 rule of backtesting - no matter how profitable and good looking a script is, it only tells about the past. There is zero guarantee the same strategy will get similar results in the future.
To turn this script into study so that alerts can be produced, do 2 things:
1. comment “strategy” line at the beginning and uncomment “study” line
2. comment lines 54-59 and uncomment lines 62-65.
Then add script to the chart and configure alerts.
This script was build for educational purposes only.
Certainly this is not financial advice. Anybody using this script or any of its parts in any way, must be aware of high risks connected with trading.
Thanks @LucF and @a.tesla2018 for helping me with code fixes :)
Backtesting on Non-Standard Charts: Caution! - PineCoders FAQMuch confusion exists in the TradingView community about backtesting on non-standard charts. This script tries to shed some light on the subject in the hope that traders make better use of those chart types.
Non-standard charts are:
Heikin Ashi (HA)
Renko
Kagi
Point & Figure
Range
These chart types are called non-standard because they all transform market prices into synthetic views of price action. Some focus on price movement and disregard time. Others like HA use the same division of bars into fixed time intervals but calculate artificial open, high, low and close (OHLC) values.
Non-standard chart types can provide traders with alternative ways of interpreting price action, but they are not designed to test strategies or run automated traded systems where results depend on the ability to enter and exit trades at precise price levels at specific times, whether orders are issued manually or algorithmically. Ironically, the same characteristics that make non-standard chart types interesting from an analytical point of view also make them ill-suited to trade execution. Why? Because of the dislocation that a synthetic view of price action creates between its non-standard chart prices and real market prices at any given point in time. Switching from a non-standard chart price point into the market always entails a translation of time/price dimensions that results in uncertainty—and uncertainty concerning the level or the time at which orders are executed is detrimental to all strategies.
The delta between the chart’s price when an order is issued (which is assumed to be the expected price) and the price at which that order is filled is called slippage . When working from normal chart types, slippage can be caused by one or more of the following conditions:
• Time delay between order submission and execution. During this delay the market may move normally or be subject to large orders from other traders that will cause large moves of the bid/ask levels.
• Lack of bids for a market sell or lack of asks for a market buy at the current price level.
• Spread taken by middlemen in the order execution process.
• Any other event that changes the expected fill price.
When a market order is submitted, matching engines attempt to fill at the best possible price at the exchange. TradingView strategies usually fill market orders at the opening price of the next candle. A non-standard chart type can produce misleading results because the open of the next candle may or may not correspond to the real market price at that time. This creates artificial and often beneficial slippage that would not exist on standard charts.
Consider an HA chart. The open for each candle is the average of the previous HA bar’s open and close prices. The open of the HA candle is a synthetic value, but the real market open at the time the new HA candle begins on the chart is the unrelated, regular open at the chart interval. The HA open will often be lower on long entries and higher on short entries, resulting in unrealistically advantageous fills.
Another example is a Renko chart. A Renko chart is a type of chart that only measures price movement. The purpose of a Renko chart is to cluster price action into regular intervals, which consequently removes the time element. Because Trading View does not provide tick data as a price source, it relies on chart interval close values to construct Renko bricks. As a consequence, a new brick is constructed only when the interval close penetrates one or more brick thresholds. When a new brick starts on the chart, it is because the previous interval’s close was above or below the next brick threshold. The open price of the next brick will likely not represent the current price at the time this new brick begins, so correctly simulating an order is impossible.
Some traders have argued with us that backtesting and trading off HA charts and other non-standard charts is useful, and so we have written this script to show traders what happens when order fills from backtesting on non-standard charts are compared to real-world fills at market prices.
Let’s review how TV backtesting works. TV backtesting uses a broker emulator to execute orders. When an order is executed by the broker emulator on historical bars, the price used for the fill is either the close of the order’s submission bar or, more often, the open of the next. The broker emulator only has access to the chart’s prices, and so it uses those prices to fill orders. When backtesting is run on a non-standard chart type, orders are filled at non-standard prices, and so backtesting results are non-standard—i.e., as unrealistic as the prices appearing on non-standard charts. This is not a bug; where else is the broker emulator going to fetch prices than from the chart?
This script is a strategy that you can run on either standard or non-standard chart types. It is meant to help traders understand the differences between backtests run on both types of charts. For every backtest, a label at the end of the chart shows two global net profit results for the strategy:
• The net profits (in currency) calculated by TV backtesting with orders filled at the chart’s prices.
• The net profits (in currency) calculated from the same orders, but filled at market prices (fetched through security() calls from the underlying real market prices) instead of the chart’s prices.
If you run the script on a non-standard chart, the top result in the label will be the result you would normally get from the TV backtesting results window. The bottom result will show you a more realistic result because it is calculated from real market fills.
If you run the script on a normal chart type (bars, candles, hollow candles, line, area or baseline) you will see the same result for both net profit numbers since both are run on the same real market prices. You will sometimes see slight discrepancies due to occasional differences between chart prices and the corresponding information fetched through security() calls.
Features
• Results shown in the Data Window (third icon from the top right of your chart) are:
— Cumulative results
— For each order execution bar on the chart, the chart and market previous and current fills, and the trade results calculated from both chart and market fills.
• You can choose between 2 different strategies, both elementary.
• You can use HA prices for the calculations determining entry/exit conditions. You can use this to see how a strategy calculated from HA values can run on a normal chart. You will notice that such strategies will not produce the same results as the real market results generated from HA charts. This is due to the different environment backtesting is running on where for example, position sizes for entries on the same bar will be calculated differently because HA and standard chart close prices differ.
• You can choose repainting/non-repainting signals.
• You can show MAs, entry/exit markers and market fill levels.
• You can show candles built from the underlying market prices.
• You can color the background for occurrences where an order is filled at a different real market price than the chart’s price.
Notes
• On some non-standard chart types you will not obtain any results. This is sometimes due to how certain types of non-standard types work, and sometimes because the script will not emit orders if no underlying market information is detected.
• The script illustrates how those who want to use HA values to calculate conditions can do so from a standard chart. They will then be getting orders emitted on HA conditions but filled at more realistic prices because their strategy can run on a standard chart.
• On some non-standard chart types you will see market results surpass chart results. While this may seem interesting, our way of looking at it is that it points to how unreliable non-standard chart backtesting is, and why it should be avoided.
• In order not to extend an already long description, we do not discuss the particulars of executing orders on the realtime bar when using non-standard charts. Unless you understand the minute details of what’s going on in the realtime bar on a particular non-standard chart type, we recommend staying away from this.
• Some traders ask us: Why does TradingView allow backtesting on non-standard chart types if it produces unrealistic results? That’s somewhat like asking a hammer manufacturer why it makes hammers if hammers can hurt you. We believe it’s a trader’s responsibility to understand the tools he is using.
Takeaways
• Non-standard charts are not bad per se, but they can be badly used.
• TV backtesting on non-standard charts is not broken and doesn’t require fixing. Traders asking for a fix are in dire need of learning more about trading. We recommend they stop trading until they understand why.
• Stay away from—even better, report—any vendor presenting you with strategies running on non-standard charts and implying they are showing reliable results.
• If you don’t understand everything we discussed, don’t use non-standard charts at all.
• Study carefully how non-standard charts are built and the inevitable compromises used in calculating them so you can understand their limitations.
Thanks to @allanster and @mortdiggiddy for their help in editing this description.
Look first. Then leap.
NoNonsense Forex - high timeframe trading absurd NON-REPAINTINGSome time ago I bumped into NoNonsense Forex - pretty good-looking course with well-designed videos, reasonable rules, etc. Nice explanatory videos, not selling anything, building indicators-only strategy. But there was one thing that really annoyed me - it was supposed to work only on Daily timeframe. What is the point in trading such high timeframe, if decisions changing market direction are playing out within 1 minute? What is the point in evaluating trades from 1994 if we are 25 years later?
Anyway, I have developed this strategy, which is:
- non-repainting
- not using trailing-stop
- not using any other known TradingView backtest bugs
And I'm showing it as an example of OVERFITTING. Backtesting results look absurd: 100% profitable. But if you change any of the many parameters in the Settings popup, they will turn into disaster. It means, the rules of this strategy are very fragile. Don't trade this! Remember about backtesting rule #1: past results do not guarantee success in the future.
I'm giving this strategy out with the source code. Feel free to do anything you want with it. But if you find parameters or modifications on, which allow profitable trading on lower timeframes, don't be shy, let me know :)
*********
Forex / Indices / Commodities traders who want to start AUTO-TRADING might want to take a look at "TradingConnector", which allows no-latency trades execution from TradingView to MT4/MT5.
VRSI-MARSI StrategyI wanted to create an indicator which resembles price movement, aside to volume movement.
The "yellow-blue" line is the MA(5) of the RSI (9) of closing price.
The "orange" line is the MA(5) of the RSI (9) of Volume .
(Default plot of RSI and VRSI is not visible but can be made visible ("Settings" > "Style" > set "Opacity" of "RSI & VRSI"))
The Long (Buy) condition is triggered when the MA(5) of the RSI (9, close) goes up.
The Short (Sell) condition is triggered when the MA(5) of the RSI (9, close) goes down.
Comparing the price movement with the "orange" Volume line helps to spot a possible trend change,
for example when price goes up and an ascending Volume line starts to flatten or starts descending,
this could be a sign that the Bullish trend is weakening, predicting a possible trend change.
Or, when for example a downwards price movement is accompanied with a rising Volume line, this can be a sign of large Bearish power.
Because it still is a RSI indicator, the midline (50), and Oversold/Overbought area's (20-30 & 70-80) are important to watch, especially the MARSI!
A second strategy is made (VRSI-MARSI Strategy 2) where the Long/Short condition is triggered when "MA RSI (close) - MA RSI ( Volume )" crosses.
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------
The Long & Short entries, as well as the Entry Close are visible 1 bar after the trigger.
When the blue line changes in a yellow line (and vice versa) it will show a candle earlier (see yellow dashed lines = (1)).
Also, the condition is fulfilled when the candle closes (2), but the order doesn't take place in the same bar, but the next (3).
Because this is a strategy the "actual Order" will not take place at the "Close" of the candle (2), but at the "Open" at the NEXT candle (3).
I also have this strategy as a study (A+B), where the "Buy" & "Sell" shows a candle earlier.
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------
The entries are default 5% of equity, without pyramiding, which already gives large profits.
A large part of the profit is because of the Entry Close of the Long & Short entries.
You can easily turn these off (Settings > Inputs) to see what profit the strategy gives without Entry Close.
Here they are disabled:
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------
More information available in the script ;-)
Directional Movement Index with double exponential moving averagThe Directional system is a trend-following method developed by J. Welles Wilder,
in the mid-1970s. It identifies trends and shows
when a trend is moving fast enough to make it worth following. It helps traders to
profit by taking chunks out of the middle of important trends.
Trading Rules
1. Trade only from the long side when the positive Directional line is above the
negative one. Trade only from the short side when the negative Directional line
is above the positive one. The best time to trade is when the ADX is rising, show-
ing that the dominant group is getting stronger.
2. When ADX declines, it shows that the market is becoming less directional. There
are likely to be many whipsaws. When ADX points down, it is better not to use
a trend-following method.
3. When ADX falls below both Directional lines, it identifies a flat, sleepy mar-
ket. Do not use a trend-following system but get ready to trade, because major
trends emerge from such lulls.
4. The single best signal of the Directional system comes after ADX falls below
both Directional lines. The longer it stays there, the stronger the base for the
next move. When ADX rallies from below both Directional lines, it shows that
the market is waking up from a lull. When ADX rises by four steps
from its lowest point below both Directional lines, it “rings a bell” on a
new trend . It shows that a new bull market or bear market is being
born, depending on what Directional line is on top.
5. When ADX rallies above both Directional lines, it identifies an overheated mar-
ket. When ADX turns down from above both Directional lines, it shows that the
major trend has stumbled. It is a good time to take profits on a directional trade.
If you trade large positions, you definitely want to take partial profits.
This particular version uses DEMA (double exponential moving averages) in attempt to catch moves sooner.
QuantCat Chande Swinger StrategyQuantCat Chande Swinger
This strategy is designed to be used on the 1 minute with mainly bitcoin, and cryptocurrencies. But parameters can be adjusted to ANY pair.
After some long research about chande momentum oscillator, I decided to create a strategy using normal distribution percentage levels to snipe entries. This in turn on the 1 minute can create a nice profit over a consecutive amount of days, the end goal is to get a stronger version of this strategy running on a bot and print some money. This strategy is tightly defined, and can be loosened up to make more trades too- giving a higher sample size and better sharpe ratio.
The strategy checks to see if the Chande value is in an extreme percentile based on the last few hundred chande values- if it is it will open a position.
No stoploss or take profit implemented into the swinger yet, but this will be the next addition to really minimise loss and amplify potential profits.
Any liquid crypto pair on the low timesframes will net a good result with this strategy.
We also have a free 15M and 1H strategy available too.
You can join our discord server to get live alerts for the strategies as well as speak to our devs! Link in signature below!!!
🐮 🆚 🐻 [Alerts]It's a remake of the previous script but for use in reverse positions at the same time.
In this script the reality could be even better than the Backtest, because, only close the position with profit, so profitability should be 100%, and Longs and Shorts don't mix because they are independent.
In real trade, you need an exchange that allows you to go in reverse positions at the same time or where you can have two independent sub-accounts: one for long and one for short and with margin trading. Although, if TP is small and does not mix with other inverse positions, it's not necessary. (With this script, you can go long and short at the same time and with independent configurations)
Settings for ETH at 5 minutes. (If you find good settings please comment)
Enjoy!
🐮 🆚 🐻 [Backtest]It's a remake of the previous script but for use in reverse positions at the same time.
In this script the reality could be even better than the Backtest, because, only close the position with profit, so profitability should be 100%, and Longs and Shorts don't mix because they are independent.
In real trade, you need an exchange that allows you to go in reverse positions at the same time or where you can have two independent sub-accounts: one for long and one for short and with margin trading. Although, if TP is small and does not mix with other inverse positions, it's not necessary. (With this script, you can go long and short at the same time and with independent configurations)
Settings for ETH at 5 minutes. (If you find good settings please comment)
Enjoy!
Bilateral Stochastic Oscillator StrategyIntroduction
Strategy based on the bilateral stochastic oscillator, this oscillator aim to detect trends and possible reversal points of the current trend. The oscillator is composed of 1 bull line in blue and 1 bear line in red as well as a signal line in orange, the strategy have many options such as two different strategy framework and a martingale mode. If you require more information about the indicator go check it into my uploaded indicators.
Strategy Frameworks
There are two frameworks available that can be selected from the strategy settings window. Both have the same closing conditions, the "Bull/Bear Cross" entry conditions are :
Buy : when the bull line cross over the bear line
Sell : when the bear line cross over the bull line
The "Signal Cross" entry conditions are :
Buy : when the bull line cross over the signal line
Sell : when the bear line cross over the signal line
Both have the same close conditions that is : close when bull/bear cross under the signal line.
Introduction To Martingale
The martingale money management system consist to double the order size after a loosing trade and can be described as a 2^x where x is the current number of loosing trades since the last win trade, when we win a trade the order size return to the default order size. Therefore our order size function is based on exponential growth.
This system enable the trader to win back his previous losses plus a potential profit, martingales must always be used with stops and sometimes take profits in order to get control in a strategy.
It must always be taken into account that in a series of losses the balance can exponentially decay thus ending to 0 in a matter of trades, this is why it is not recommended to use such system. The strategy allow you to select a martingale multiplier that can be inferior to 2 thus limiting risks, a multiplied of 1 disable the martingale.
Results
Those are the some statistics of the strategy applied to some forex majors by using the default settings in a time frames of 15 minutes.
//-------------------------------------------------------
EURUSD - Order Size 1000 - Spread 0.0002
Profit : $ 21.08
Trades : 19
PP : 57.89 %
Profit Factor : 3.228
Max Drawdown : -$ 3.81
Average Trade : $ 1.11
//-------------------------------------------------------
GBPUSD - Order Size 1000 - Spread 0.0002
Profit : $ 2.31
Trades : 20
PP : 55 %
Profit Factor : 0.938
Max Drawdown : -$ 20.29
Average Trade : $ 0.12
//-------------------------------------------------------
EURAUD - Order Size 1000 - Spread 0.0002
Profit : -$ 9.22
Trades : 20
PP : 40 %
Profit Factor : 0.698
Max Drawdown : -$ 23.44
Average Trade : $ 0.46
//-------------------------------------------------------
EURCHF - Order Size 1000 - Spread 0.0002
Profit : $ 1.58
Trades : 24
PP : 54.17 %
Profit Factor : 1.103
Max Drawdown : -$ 7.23
Average Trade : $ 0.07
//-------------------------------------------------------
Conclusions
Based on the results the strategy does not posses the sufficient performance in order to apply a martingale or any other growth systems as order size. Parameters might be subject to drastic changes depending on the market/time-frame in order to return long-term positive results. I let you draw your conclusions.
Trade Manager (Open Source Version)Hello my young padawans looking for the FORCE to get richer on your next trade
I got pinged at least three times today asking where the hell is the indicator of the day. You asked, I delivered :)
Here's your free open-source Trade Manager Version. My associates might kill me for sharing that one... anyway this is a real GIFT.
I won't share such quality indicators too often for FREE so hope you'll appreciate its value. It can really help with your day to day trading (on top of making your charts looking more awesome)
This is an even better version compared to my previous Trade Manager Trade-Manager . It's basically a standalone version, meaning you'll have to update with 2 lines your own indicator and follow my educational post from yesterday (pasted it below also) to learn how to do it
Please read this educational post I published for you before proceeding further : How-to-connect-your-indicator-with-the-Trade-Manager
From here you normally connected the data source of your own indicator to the Trade Manager. If not, here's a reminder of the article mentionned above
Step 1 - Update your indicator
For the screenshot you see above, I used this indicator : Two-MM-Cross-MACD/ . "But sir are you really advertising your other indicators here ??" ... hmmm.... YES but I gave them for free so ... stop complaining my friend :)
Somewhere in the code you'll have a LONG and a SHORT condition. If not, please go back to study trading for noobs (I'm kidding !!!)
So it should look to something similar
nUP = ma_crossover and macd_crossover
nDN = ma_crossunder and macd_crossunder
What you will need to add at the very end of your script is a Signal plot that will be captured by the Trade Manager. This will give us :
// Signal plot to be used as external
// if crossover, sends 1, otherwise sends -1
Signal = (nUP) ? 1 : (nDN) ? -1 : na
plot(Signal, title="Signal")
The Trade Manager engines expects to receive 1 for a bullishg signal and -1 for bearish .
Step 2 - Add the Trade Manager to your chart and select the right Data Source
I feel the questions coming so I prefer to anticipate :) When you add the Trade Manager to your chart, nothing will be displayed. THIS IS NORMAL because you'll have to select the Data Source to be "Signal"
Remember our Signal variable from the Two MM Cross from before, now we'll capture it and.....drumb rolll...... that's from that moment that your life became even more AWESOME
The Engine will capture the last signal from the MM cross or any indicator actually and will update the Stop Loss, Take Profit levels based on the parameters you set on the Trade Manager
It should work with any indicator as long as you're providing a plot Signal with values 1 and -1 . In any case, you can change the Trade Manager you'll find a better logic for your trading
Now let's cover the different parameters of the tool
It should be straightforward but better to explain everything here
+Label lines : if unchecked, no SL/TPs/... will be displayed
+Show Stop Loss Signal : Will display the stop loss label. You have the choice between three options :
By default, the Stop Loss is set to NONE. You'll have to select a different option to enable the Stop Loss for real
++Percentage : Will set the SL at a percent distance from the price
++Fixed : SL fixed at a static price
++Trailing % : Trailing stop loss based on percentage level
The following is a KEY feature and I got asked for it many times those past two days. I got annoyed of getting the same request so I just did it
++Trailing TP: Will move the Stop Loss if the take profit levels are hit
Example: if TP1 is hit, SL will be moved to breakeven. If TP2 is hit, SL will be moved from TP1 to TP2
+Take Profit 1,2,3 : Visually define the three Take Profit levels. Those are percentage levels .
Meaning if you set TP1 = 2, it will set the TP1 level 2% away from the entry signal
Please note that once a Take profit level is reached, it will magically disappear. This is to be expected
I'll share in the future a way more complete version with invalidation, stop loss/take profits based on indicator, take profit based on supports/resistances, ...
I believe is such a great tool because can be connected to any indicator. I confess that I tried it only with a few... if you find any that's not working with the Trade manager, please let me know and I'll have a look
PS
I want to give a HUUUUUUUGE shoutout to the PineCoders community who helped me finishing it
Wishing you all the best and a pleasant experience with my work
David
WhiplashClimax setup looking for a reversal the next day after a gap, this works best if the signal is triggered after a prolonged move in one direction. Enter the position at the close of the day when you get a signal and exit for a loss the next day if not profitable, otherwise, trail a stop to lock profits.
Kozlod - Simple BB Strategy - XBTUSD - 1 minuteReally nice performance for simple BB on XBTUSD Bitmex 1 minute chart.
BB length = 55, BB mult = 4.
No SL or PT used.
Amazingly performance for the last week, 92% profitable. Tested on entire May percent profitable become 80%, still not bad.
And remember:
Past performance does not guarantee future results.
Peak Valley Estimation StrategyIntroduction
Its the first strategy that i post here, so don't expect ground breaking stuff, when testing my indicators i always used prorealtime and not tradingview. This strategy use signals generated by the peak/valley estimator indicator i posted long ago, i think the signals generated where sometimes quite accurate in some markets thus providing potential material for a profitable strategy.
The indicator use 3 parameters, therefore the optimisation process is not easy, but i selected what i judged good parameters values at first glance. The strategy is in its more simple form without stop or anything, the detection of peaks and valley can allow for tighter stops since we expect the price to reverse, but take into account that sops and take profits are parameters subject to optimization process except if selected with strict money management rules and not profit optimization.
Of course trading the strategy in this form is far from being great, if we take into account the market non stationarity then we might expect loss during trending markets. Trend strength indicators could help switch from a reversal to breakout strategy thus maybe providing more control.
I really hope you find an use for the strategy.
Notes
Its been three long years since i started tradingview, and i put more efforts in my indicators than in my studies and life overall, this have created complicated situations and i can't afford to follow up with this, therefore i announce that in the end of june i will leave tradingview for quite a long time, at least until i have my degree. I announce it in advance in case some of you want helps of any kind. I will post all the indicators, both in progress and finished i have made during those three years. I hope you can all understand.
Thanks for reading !
PivotBoss TriggersI have collected the four PivotBoss indicators into one big indicator. Eventually I will delete the individual ones, since you can just turn off the ones you don't need in the style controller. Cheers.
Wick Reversal
When the market has been trending lower then suddenly forms a reversal wick candlestick , the likelihood of
a reversal increases since buyers have finally begun to overwhelm the sellers. Selling pressure rules the decline,
but responsive buyers entered the market due to perceived undervaluation. For the reversal wick to open near the
high of the candle, sell off sharply intra-bar, and then rally back toward the open of the candle is bullish , as it
signifies that the bears no longer have control since they were not able to extend the decline of the candle, or the
trend. Instead, the bulls were able to rally price from the lows of the candle and close the bar near the top of its
range, which is bullish - at least for one bar, which hadn't been the case during the bearish trend.
Essentially, when a reversal wick forms at the extreme of a trend, the market is telling you that the trend
either has stalled or is on the verge of a reversal. Remember, the market auctions higher in search of sellers, and
lower in search of buyers. When the market over-extends itself in search of market participants, it will find itself
out of value, which means responsive market participants will look to enter the market to push price back toward
an area of perceived value. This will help price find a value area for two-sided trade to take place. When the
market finds itself too far out of value, responsive market participants will sometimes enter the market with
force, which aggressively pushes price in the opposite direction, essentially forming reversal wick candlesticks .
This pattern is perhaps the most telling and common reversal setup, but requires steadfast confirmation in order
to capitalize on its power. Understanding the psychology behind these formations and learning to identify them
quickly will allow you to enter positions well ahead of the crowd, especially if you've spotted these patterns at
potentially overvalued or undervalued areas.
Fade (Extreme) Reversal
The extreme reversal setup is a clever pattern that capitalizes on the ongoing psychological patterns of
investors, traders, and institutions. Basically, the setup looks for an extreme pattern of selling pressure and then
looks to fade this behavior to capture a bullish move higher (reverse for shorts). In essence, this setup is visually
pointing out oversold and overbought scenarios that forces responsive buyers and sellers to come out of the dark
and put their money to work-price has been over-extended and must be pushed back toward a fair area of value
so two-sided trade can take place.
This setup works because many normal investors, or casual traders, head for the exits once their trade
begins to move sharply against them. When this happens, price becomes extremely overbought or oversold,
creating value for responsive buyers and sellers. Therefore, savvy professionals will see that price is above or
below value and will seize the opportunity. When the scared money is selling, the smart money begins to buy, and
Vice versa.
Look at it this way, when the market sells off sharply in one giant candlestick , traders that were short
during the drop begin to cover their profitable positions by buying. Likewise, the traders that were on the
sidelines during the sell-off now see value in lower prices and begin to buy, thus doubling up on the buying
pressure. This helps to spark a sharp v-bottom reversal that pushes price in the opposite direction back toward
fair value.
Engulfing (Outside) Reversal
The power behind this pattern lies in the psychology behind the traders involved in this setup. If you have
ever participated in a breakout at support or resistance only to have the market reverse sharply against you, then
you are familiar with the market dynamics of this setup. What exactly is going on at these levels? To understand
this concept is to understand the outside reversal pattern. Basically, market participants are testing the waters
above resistance or below support to make sure there is no new business to be done at these levels. When no
initiative buyers or sellers participate in range extension, responsive participants have all the information they
need to reverse price back toward a new area of perceived value.
As you look at a bullish outside reversal pattern, you will notice that the current bar's low is lower than the
prior bar's low. Essentially, the market is testing the waters below recently established lows to see if a downside
follow-through will occur. When no additional selling pressure enters the market, the result is a flood of buying
pressure that causes a springboard effect, thereby shooting price above the prior bar's highs and creating the
beginning of a bullish advance.
If you recall the child on the trampoline for a moment, you'll realize that the child had to force the bounce
mat down before he could spring into the air. Also, remember Jennifer the cake baker? She initially pushed price
to $20 per cake, which sent a flood of orders into her shop. The flood of buying pressure eventually sent the price
of her cakes to $35 apiece. Basically, price had to test the $20 level before it could rise to $35.
Let's analyze the outside reversal setup in a different light for a moment. One of the reasons I like this setup
is because the two-bar pattern reduces into the wick reversal setup, which we covered earlier in the chapter. If
you are not familiar with candlestick reduction, the idea is simple. You are taking the price data over two or more
candlesticks and combining them to create a single candlestick . Therefore, you will be taking the open, high, low,
and close prices of the bars in question to create a single composite candlestick .
Doji Reversal
The doji candlestick is the epitome of indecision. The pattern illustrates a virtual stalemate between buyers
and sellers, which means the existing trend may be on the verge of a reversal. If buyers have been controlling a
bullish advance over a period of time, you will typically see full-bodied candlesticks that personify the bullish
nature of the move. However, if a doji candlestick suddenly appears, the indication is that buyers are suddenly
not as confident in upside price potential as they once were. This is clearly a point of indecision, as buyers are no
longer pushing price to higher valuation, and have allowed sellers to battle them to a draw-at least for this one
candlestick . This leads to profit taking, as buyers begin to sell their profitable long positions, which is heightened
by responsive sellers entering the market due to perceived overvaluation. This "double whammy" of selling
pressure essentially pushes price lower, as responsive sellers take control of the market and push price back
toward fair value.
Inside Bar FailureYou can check edge profitability by adjusting the forward looking input, eg. how profitable is this signal after X bars.
DARVAS BOX MTFMULTIPLE TIME FRAME VERSION OF DARVAS BOX:
You can view different time frame values of Darvas Box levels on any chart
What Is the Darvas Box?
The Darvas Box strategy was developed by Nicholas Darvas. Aside from being a well known dancer, he began trading stock in the 1950s. Based on his success in trading, he was approached to write a book on his strategy. The book, “How I Made $2,000,000 in the Stock Market,” outlines his rather simple approach … simple once you understand the basic concepts and rationale of the strategy.
Darvas Box is an indicator that simply draws lines along highs and lows, and then adjusts them as new highs and lows form. The indicator is available on many trading platforms, such as Thinkorswim. Traders may wish to draw their own boxes though, based on recent highs and lows; Darvas was able to do so (based on telegram quotes) more than half a century ago.
Darvas Box Rules
I shall not follow advisory services.
I shall be cautious of broker advice.
I shall ignore Wall Street sayings or truisms, no matter how ancient or revered.
I shall only trade stocks on major exchanges with adequate volume .
I shall not listen to (or trade off of) rumors or tips, no matter how well researched they may sound.
I will use a sound strategy instead of gamble…I must study this strategy (originally this approach was fundamental analysis , which didn’t work for him, so he developed his Darvas Box trading method).
I will hold one position for longer, as opposed to juggling a bunch of positions for a short period of time.
Darvas looked for increasing volume when selecting stocks to trade; this alerted him to stocks that were being accumulated and were likely to see strong trends.
Darvas believed in buying stocks that presented an upper box limit breakout, but also had an upward Earnings trend. This was especially the case when the major indexes had experienced a decline.
When an upper box limit is broken, buy. From his book, the entry price was usually about 1 to 2% above the upper box limit.
If you enter a trade and the price proceeds to drop out of the new box, and back into the old box, exit the trade.
Entry and stop loss orders should be set in advance, so trades aren’t missed and risk is controlled.
Place, and trail the stop loss order to below the low of the most recent box. This initial stop loss was pretty tight, because Darvas assumed when a price broke out of an old box, it was entering a new box. Therefore, the stop was placed just below the high of old box which was just broken (low of new box).
Record trades, including reasons why you entered and exited.
General conditions of the market must favor buying. Don’t buy stocks when the major indexes are in a bear market, or when volume is flat or declining.
If you are stopped out, but the price moves back into the higher box again providing another buy signal, buy again, using the same stop loss location.
Since the stop is being trailed up, more funds can be added on each consecutive breakout.
The Bottom Line
Nicholas Darvas was a dancer, but committed a great deal of time to developing and then mastering his stock trading method. It’s a trend following method based on breakouts to higher boxes. Risk is controlled by placing a stop below new higher boxes as they form. During choppy conditions the strategy won’t be profitable. This is why Darvas also attempted to only trade stocks with increasing volume and rising Earnings . Trading his method requires a lot of discipline, but can produce big profits when strong trends develop.
source: traderhq.com
Creator: Nicholas DARVAS
Here's the link to a complete list of all my indicators:
tr.tradingview.com
Şimdiye kadar paylaştığım indikatörlerin tam listesi için: tr.tradingview.com
Bollinger Bands %bb (normalised) & RSIIndicator for displaying both Bollinger Bands %bb (normalised) and RSI simultaneously (Usual 0 - 1 range of BB normalised to the 30 - 70 range of RSI).
When both Bollinger Bands %bb and RSI are OB/OS then the column will turn blue and a buy/sell arrow will appear in the indicator provided other conditions pertaining to the OB/OS condition in one of the last two candles are also met.
I use this mainly for Cryptocurrencies for shorter time periods to indicate possible trade opportunities.
You could also set an alert on the arrow indicator appearing to auto trade.
DARVAS BOX by KIVANÇ fr3762What Is the Darvas Box?
The Darvas Box strategy was developed by Nicholas Darvas. Aside from being a well known dancer, he began trading stock in the 1950s. Based on his success in trading, he was approached to write a book on his strategy. The book, “How I Made $2,000,000 in the Stock Market,” outlines his rather simple approach … simple once you understand the basic concepts and rationale of the strategy.
Darvas Box is an indicator that simply draws lines along highs and lows, and then adjusts them as new highs and lows form. The indicator is available on many trading platforms, such as Thinkorswim. Traders may wish to draw their own boxes though, based on recent highs and lows; Darvas was able to do so (based on telegram quotes) more than half a century ago.
Darvas Box Rules
I shall not follow advisory services.
I shall be cautious of broker advice.
I shall ignore Wall Street sayings or truisms, no matter how ancient or revered.
I shall only trade stocks on major exchanges with adequate volume .
I shall not listen to (or trade off of) rumors or tips, no matter how well researched they may sound.
I will use a sound strategy instead of gamble…I must study this strategy (originally this approach was fundamental analysis , which didn’t work for him, so he developed his Darvas Box trading method).
I will hold one position for longer, as opposed to juggling a bunch of positions for a short period of time.
Darvas looked for increasing volume when selecting stocks to trade; this alerted him to stocks that were being accumulated and were likely to see strong trends.
Darvas believed in buying stocks that presented an upper box limit breakout, but also had an upward Earnings trend. This was especially the case when the major indexes had experienced a decline.
When an upper box limit is broken, buy. From his book, the entry price was usually about 1 to 2% above the upper box limit.
If you enter a trade and the price proceeds to drop out of the new box, and back into the old box, exit the trade.
Entry and stop loss orders should be set in advance, so trades aren’t missed and risk is controlled.
Place, and trail the stop loss order to below the low of the most recent box. This initial stop loss was pretty tight, because Darvas assumed when a price broke out of an old box, it was entering a new box. Therefore, the stop was placed just below the high of old box which was just broken (low of new box).
Record trades, including reasons why you entered and exited.
General conditions of the market must favor buying. Don’t buy stocks when the major indexes are in a bear market, or when volume is flat or declining.
If you are stopped out, but the price moves back into the higher box again providing another buy signal, buy again, using the same stop loss location.
Since the stop is being trailed up, more funds can be added on each consecutive breakout.
The Bottom Line
Nicholas Darvas was a dancer, but committed a great deal of time to developing and then mastering his stock trading method. It’s a trend following method based on breakouts to higher boxes. Risk is controlled by placing a stop below new higher boxes as they form. During choppy conditions the strategy won’t be profitable. This is why Darvas also attempted to only trade stocks with increasing volume and rising Earnings . Trading his method requires a lot of discipline, but can produce big profits when strong trends develop.
source: traderhq.com
Creator: Nicholas DARVAS
PT MACD function with Multiframe ( incl. Histogram )I updated the name thus needing to release it again and also the precisions is now on default what we need it.
- The green area is where Proft Trailer will try to buy
- Updated colors for both white / black canvas
- Script is open for you to read
