Camarilla Pivot Points V2 Backtest Camarilla pivot point formula is the refined form of existing classic pivot point formula.
The Camarilla method was developed by Nick Stott who was a very successful bond trader.
What makes it better is the use of Fibonacci numbers in calculation of levels.
Camarilla equations are used to calculate intraday support and resistance levels using
the previous days volatility spread. Camarilla equations take previous day’s high, low and
close as input and generates 8 levels of intraday support and resistance based on pivot points.
There are 4 levels above pivot point and 4 levels below pivot points. The most important levels
are L3 L4 and H3 H4. H3 and L3 are the levels to go against the trend with stop loss around H4 or L4 .
While L4 and H4 are considered as breakout levels when these levels are breached its time to
trade with the trend.
WARNING:
- For purpose educate only
- This script to change bars colors.
In den Scripts nach "high low" suchen
Strategy Tester EMA-SMA-RSI-MACDOn Tradingview I never saw a custom adjustable strategy script yet, so this is it,
you can change different things and see if you'll get a good strategy or not
Settings:
First choose the source, you can choose out of:
close, open, high, low, ohlc4, hlc3, hl2
Then choose you strategy: Long & Short, Long only or Short only
Next, choose your entry "Buy/Long" (which is the "close Short position" when "Short"):
- (E)MA 1 > (E)MA 2 (Each can be made ema or sma)
- close above (E)MA 1
- RSI strategy
- macd > signal
- macd > 0
- signal > 0
Then choose your RSI values if needed (for example you want a trigger when EMA 1 > SMA 2
but only if RSI > 60, then change "IF RSI >" from 0 to 60
Next you can choose an extra argument
and even a second argument with Higher Time Frame settings
Under this you can change your (E)MA values as desired (HTF values, MACD and RSI length can be found lower)
All the same with the exit/close (or if "Short", this is your entry)
Again, change everything as you wish
Then comes the RSI length setting, MACD settings and HTF settings, followed by SL/TP settings
(you also can enable/disable SL/TP), and TIME settings (for example you want to know the profit only from this year)
Alerts are provided in next script
Have fun!
Combo Backtest 123 Reversal & Elder Ray (Bear Power) This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Developed by Dr Alexander Elder, the Elder-ray indicator measures buying
and selling pressure in the market. The Elder-ray is often used as part
of the Triple Screen trading system but may also be used on its own.
Dr Elder uses a 13-day exponential moving average (EMA) to indicate the
market consensus of value. Bear Power measures the ability of sellers to
drive prices below the consensus of value. Bear Power reflects the ability
of sellers to drive prices below the average consensus of value.
Bull Power is calculated by subtracting the 13-day EMA from the day's High.
Bear power subtracts the 13-day EMA from the day's Low.
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
WARNING:
- For purpose educate only
- This script to change bars colors.
Cyato Grid Basic Buy & Sell [BACKTEST]Private indicator
This Grid bot strategy creates buy orders when the price goes down one level or more, and sell order when the price goes up one level or more.
To avoid useless trades, the lastest traded level is disabled until another level is crossed.
To create the grid, one upper level and one lower level is calculated. Those 2 levels are either given by the user using "MANUAL" mode or automatically calculated by an AI. The space between these two levels are then divided equally into several steps, creating the grid. The number of steps is chosen by the user, from 3 to 20.
HOW IT WORKS
This is the Backtest version meaning this is the one you should use with the Strategy Tester (more below).
Select either "MANUAL" or "AI" mode.
When using "MANUAL", you have to configure an upper level and a lower level.
When using "AI", the upper and lower level are automatically calculated from last 7 days high/low plus a 3% deviation. You can configure the timeframe and the deviation.
Select the grid quantity, from 3 to 20.
Example with 3:
Example with 10:
Example with 20:
You can choose between "Once Per Bar Close" or "Once Per Bar" alert type.
"Once Per Bar Close" will wait candle close to confirm a trade.
"Once Per Bar" will trigger a trade if the price crossed a step anytime inside a candle. Note that the backtest will still use bar close price in its calculation.
BACKTESTING
The strategy will buy 1 contract when a BUY signal appears and sell 1 contract when a SELL signal appears.
Here 1 contract = 1 BTC
The strategy can buy up to 20 contracts. Pyramiding is enabled.
The Backtest info panel is here to show how many trades are open in the backtest.
I know very well that a backtest has no value if several trades are left open. That is why I coded a feature to close all open trades at once on the last candle. This feature can be turned on and off.
To get this indicator, use the link in my signature below, thanks!
Break out strategy 0Breakout strategy (for verification)
Not recommended.
If you enter with a high (low) breakout for any period
ブレークアウトストラテジー(検証用)
推奨するものではありません。
任意の期間の高値(安値)ブレークアウトでエントリーした場合
Combo Backtest 123 Reversal & Dynamic Pivot Point This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This Pivot points is calculated on the current day.
Pivot points simply took the high, low, and closing price from the previous period and
divided by 3 to find the pivot. From this pivot, traders would then base their
calculations for three support, and three resistance levels. The calculation for the most
basic flavor of pivot points, known as ‘floor-trader pivots’, along with their support and
resistance levels.
WARNING:
- For purpose educate only
- This script to change bars colors.
BEST Trend Direction Helper (Strategy Edition)Hello traders
A follower asked me to convert my Trend Direction Helper into a strategy
So blessed this indicator reached the 1400+ likes milestone - I can't believe how many people are trading with it
I based the setup as follow:
- Entries on those green/red labels
- exit whenever a Simple Moving Averages cross in the opposite direction happen
- possibility to filter only Longs/Shorts or both
Also...
The strategy includes the Zig Zag/Pivots high/low and other options from the indicator version. I only added a quick strategy component with a hard exit concept based on SMA cross
All the best fam and... HAPPY NEW YEAR !!!!!!!!!!!
Dave
Leverage Strategy and a few words on risk/opportunityHello traders,
I started this script as a joke for someone... finally appears it could be used for educational content
Let's talk about leverage and margin call
Margin Call
A margin call is the broker's demand that an investor deposit additional money or securities so that the account is brought up to the minimum value, known as the maintenance margin.
A margin call usually means that one or more of the securities held in the margin account has decreased in value below a certain point.
Leverage
A leverage is a system which allows the trader to open positions much larger than his own capital. ... “Leverage” usually refers to the ratio between the position value and the investment needed,
Strat
The strategy simulates long/short positions on a 4h high/low breakout based on the chart candle close.
The panel below shows the strategy equity curve. Activating the margin call option will show when the account would be margin called giving the settings
Casino
I'm not doing any financial recommendation here.
I made this strategy so that people include more risk management metrics into their strategy.
From the code, we see it's fairly easy to calculate a leveraged position size and a margin call flag - when that flag is hit, the system stops trading.
I simplified things to the extreme here but my point is that the leverage is a double-edge sword gift.
Assuming we always take the same position sizing, increasing the leverage speed up how fast a margin could be ..... called. (bad joke? feel free to tell me). Not saying it will, saying it introduces more risk by design.
Then one could say "I'll just turn off that stupid margin call option". And that's when someone starts backtesting with unrealistic market conditions.
Finally...
When I backtest I always assume the worst in every scenario possible (because I'm French), I always try to minimize the risk first (also because I'm French), keeping as close from 0 as possible (French again)
Then I add the "opportunity" component, looking to catch the maximum of opportunity while keeping the risk low.
It's like a Rubix cube puzzle - decreasing the risk is one side of the equation but whenever I try to catch more opportunity... my risks increases.
Then I update my risk... and now the opportunity decreases... (#wut #wen #simple)
Completely removing the risk from a trading strategy isn't something I wouldn't dare doing.
Trading involves risk. Being obsessed by decreasing the risk is what I do BEST :)
Dave
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.
inwCoin Elder's Force Index Risk% Strategy=========================
English
=========================
Just Elder's Force Index Strategy with smooth entry and exit
Buy = EFI (green line) above zero and EMA of EFI cross zero up
Sell = EFI under zero and EMA of EFI cross zero down
==========================
Thai
==========================
ตัวปรับปรุงจาก EFI เดิม โดยเปลี่ยนวิธีเข้าไม้ ให้มองเป็นการคุมความเสี่ยงแทน
อยากเสี่ยงกี่ % ก็เลือกเอา แต่ถ้าแนะนำ ก็ควรเสี่ยง 1%
แต่ถ้าเป็นกราฟวีค ผมว่า เสี่ยงมากหน่อยก็ได้เหมือนกัน เพราะนานๆ มันโผล่ที
option High/Low candle อะไรนั่น คือจะเป็นการหาจุด stoploss ย้อนหลังว่าจะดูย้อนกลับไปกี่แท่ง
และจะเอาจุด stop นี้ไปคำนวณ position size อีกที
ดังนั้น ถ้า stop ต่ำ เราก็จะเข้าได้เยอะขึ้นนั่นเอง
Kijun-Sen Strategy [DasanC]This strategy employs the Kijun-Sen line (from Ichimoku cloud) as a baseline for decisions.
In essence, the Kijun-Sen is a kind of moving average based on the High/Low range, similar to Donchian channels.
We wait for a crossover or crossunder to enter a new trade, then exit upon the next cross.
It works on 1H timeframe and above. It also works for all the Major FX pairs (at least from my tests).
I use the ATR and a multiplier to decide the S/L position as well as the volume of the trade.
I also use an equity protector to close out of all trades if a specific DD % level is reached. In theory, this should never happen with only one trade open at a time, however, if a user wants to modify the script to pyramid orders then the equity protector could potentially "save" an account.
The default settings should produce winning results on Major pairs. You can change the backtest time in the script by altering line #53:
>if(time > timestamp(2017,1,1,0,0) and time < timestamp(2019,1,1,0,0))
TODO:
Add 2 additional forms of confirmation
Add volume to filter losing trades
Add exit indicator
Combo Backtest 123 Reversal & Bill Williams Averages. 3Lines This is combo strategies for get
a cumulative signal. Result signal will return 1 if two strategies
is long, -1 if all strategies is short and 0 if signals of strategies is not equal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator calculates 3 Moving Averages for default values of
13, 8 and 5 days, with displacement 8, 5 and 3 days: Median Price (High+Low/2).
The most popular method of interpreting a moving average is to compare
the relationship between a moving average of the security's price with
the security's price itself (or between several moving averages).
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & (H-L)/C Histogram This is combo strategies for get
a cumulative signal. Result signal will return 1 if two strategies
is long, -1 if all strategies is short and 0 if signals of strategies is not equal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This histogram displays (high-low)/close
Can be applied to any time frame.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & Bandpass FilterThis is combo strategies for get
a cumulative signal. Result signal will return 1 if two strategies
is long, -1 if all strategies is short and 0 if signals of strategies is not equal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The related article is copyrighted material from
Stocks & Commodities Mar 2010
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
WARNING:
- For purpose educate only
- This script to change bars colors.
(H-L)/C Histogram Backtest This histogram displays (high-low)/close
Can be applied to any time frame.
WARNING:
- For purpose educate only
- This script to change bars colors.
multi Stochastic strategy (J)www.tradingview.com(STOCH)
The Stochastic Oscillator ( STOCH ) is a range bound momentum oscillator. The Stochastic indicator is designed to display the location of the close compared to the high/low range over a user defined number of periods. Typically, the Stochastic Oscillator is used for three things; Identifying overbought and oversold levels, spotting divergences and also identifying bull and bear set ups or signals.
multi Stoch + MACD + CCI strategy (J)The Stochastic Oscillator (STOCH) is a range bound momentum oscillator. The Stochastic indicator is designed to display the location of the close compared to the high/low range over a user defined number of periods. Typically, the Stochastic Oscillator is used for three things; Identifying overbought and oversold levels, spotting divergences and also identifying bull and bear set ups or signals.
www.tradingview.com(STOCH)
MACD is an extremely popular indicator used in technical analysis. MACD can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes MACD so informative is that it is actually the combination of two different types of indicators. First, MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum.
www.tradingview.com(Moving_Average_Convergence/Divergence)
The Commodity Channel Index (CCI) is a momentum oscillator used in technical analysis primarily to identify overbought and oversold levels by measuring an instrument's variations away from its statistical mean. CCI is a very well-known and widely-used indicator that has gained level of popularity in no small part of its versatility. Besides overbought/oversold levels, CCI is often used to find reversals as well as divergences. Originally, the indicator was designed to be used for identifying trends in commodities, however it is now used in a wide range of financial instruments.
www.tradingview.com(CCI)
Bandpass Filter Strategy ver 2.0 The related article is copyrighted material from
Stocks & Commodities Mar 2010
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Woodie Pivot Points Backtest Simply input the vales of the high, low and closing price of the previous
period to calculate the Woodie pivot point and the associated resistance
and support levels for the present period.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Technical Indicator PoolThis is for Bundle holders who want to use the Technical Indicator Pool for scalping binary options.
Understanding the Technical Indicator Pool
The Technical Indicator Pool is a strategy that operates on the premise that when many technical indicators project the same sentiment, they are concurrently more precise. The technical indicator pool contains five indicators
1. Small MACD Moving Average (SFMA) (10,15)
2. Large MACD Moving Average (LFMA) (13,18)
3. Parabolic Stop and Reverse (PSAR) (0.05, 0.05, 0.05)
4. Relative Strength Index (RSI) (14, 70, 30)
5. H/L Pivot (13)
When all five indicators project the same sentiment within a defined period (known as BarPeriod), an order is placed in the direction of sentiment.
Note:
Due to the nature of the indicator pool, such as the moving averages within the MACD and RSI as well as the High/Low Pivot, false positives may occur before the bar has closed within the time stamp.
This point of reference is to be used in combination with an arsenal of trading tools and should not be used as direct investment advice.
Option strategies should always include stop losses.
This strategy operates using a lot size of 2.5.
Dynamic Pivot Point Backtest This Pivot points is calculated on the current day.
Pivot points simply took the high, low, and closing price from the previous period and
divided by 3 to find the pivot. From this pivot, traders would then base their
calculations for three support, and three resistance levels. The calculation for the most
basic flavor of pivot points, known as ‘floor-trader pivots’, along with their support and
resistance levels.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
CryptoVN - Heiken Ashi Smoothed backtestBacktest for Heiken Ashi Smoothed with:
- Heiken Ashi candle
- HA Smoothed: open/close/high/low data was filter by DEMA.
BTCbotLooks at more than just the BTC price, based off Hull MA
Attempt at reducing repaint by Averaging each candles Open-High-Low-Close and then using previous (not current) candle to calculate signal