MLExtensionsLibrary "MLExtensions"
normalizeDeriv(src, quadraticMeanLength)
Returns the smoothed hyperbolic tangent of the input series.
Parameters:
src : The input series (i.e., the first-order derivative for price).
quadraticMeanLength : The length of the quadratic mean (RMS).
Returns: nDeriv The normalized derivative of the input series.
normalize(src, min, max)
Rescales a source value with an unbounded range to a target range.
Parameters:
src : The input series
min : The minimum value of the unbounded range
max : The maximum value of the unbounded range
Returns: The normalized series
rescale(src, oldMin, oldMax, newMin, newMax)
Rescales a source value with a bounded range to anther bounded range
Parameters:
src : The input series
oldMin : The minimum value of the range to rescale from
oldMax : The maximum value of the range to rescale from
newMin : The minimum value of the range to rescale to
newMax : The maximum value of the range to rescale to
Returns: The rescaled series
color_green(prediction)
Assigns varying shades of the color green based on the KNN classification
Parameters:
prediction : Value (int|float) of the prediction
Returns: color
color_red(prediction)
Assigns varying shades of the color red based on the KNN classification
Parameters:
prediction : Value of the prediction
Returns: color
tanh(src)
Returns the the hyperbolic tangent of the input series. The sigmoid-like hyperbolic tangent function is used to compress the input to a value between -1 and 1.
Parameters:
src : The input series (i.e., the normalized derivative).
Returns: tanh The hyperbolic tangent of the input series.
dualPoleFilter(src, lookback)
Returns the smoothed hyperbolic tangent of the input series.
Parameters:
src : The input series (i.e., the hyperbolic tangent).
lookback : The lookback window for the smoothing.
Returns: filter The smoothed hyperbolic tangent of the input series.
tanhTransform(src, smoothingFrequency, quadraticMeanLength)
Returns the tanh transform of the input series.
Parameters:
src : The input series (i.e., the result of the tanh calculation).
smoothingFrequency
quadraticMeanLength
Returns: signal The smoothed hyperbolic tangent transform of the input series.
n_rsi(src, n1, n2)
Returns the normalized RSI ideal for use in ML algorithms.
Parameters:
src : The input series (i.e., the result of the RSI calculation).
n1 : The length of the RSI.
n2 : The smoothing length of the RSI.
Returns: signal The normalized RSI.
n_cci(src, n1, n2)
Returns the normalized CCI ideal for use in ML algorithms.
Parameters:
src : The input series (i.e., the result of the CCI calculation).
n1 : The length of the CCI.
n2 : The smoothing length of the CCI.
Returns: signal The normalized CCI.
n_wt(src, n1, n2)
Returns the normalized WaveTrend Classic series ideal for use in ML algorithms.
Parameters:
src : The input series (i.e., the result of the WaveTrend Classic calculation).
n1
n2
Returns: signal The normalized WaveTrend Classic series.
n_adx(highSrc, lowSrc, closeSrc, n1)
Returns the normalized ADX ideal for use in ML algorithms.
Parameters:
highSrc : The input series for the high price.
lowSrc : The input series for the low price.
closeSrc : The input series for the close price.
n1 : The length of the ADX.
regime_filter(src, threshold, useRegimeFilter)
Parameters:
src
threshold
useRegimeFilter
filter_adx(src, length, adxThreshold, useAdxFilter)
filter_adx
Parameters:
src : The source series.
length : The length of the ADX.
adxThreshold : The ADX threshold.
useAdxFilter : Whether to use the ADX filter.
Returns: The ADX.
filter_volatility(minLength, maxLength, useVolatilityFilter)
filter_volatility
Parameters:
minLength : The minimum length of the ATR.
maxLength : The maximum length of the ATR.
useVolatilityFilter : Whether to use the volatility filter.
Returns: Boolean indicating whether or not to let the signal pass through the filter.
backtest(high, low, open, startLongTrade, endLongTrade, startShortTrade, endShortTrade, isStopLossHit, maxBarsBackIndex, thisBarIndex)
Performs a basic backtest using the specified parameters and conditions.
Parameters:
high : The input series for the high price.
low : The input series for the low price.
open : The input series for the open price.
startLongTrade : The series of conditions that indicate the start of a long trade.`
endLongTrade : The series of conditions that indicate the end of a long trade.
startShortTrade : The series of conditions that indicate the start of a short trade.
endShortTrade : The series of conditions that indicate the end of a short trade.
isStopLossHit : The stop loss hit indicator.
maxBarsBackIndex : The maximum number of bars to go back in the backtest.
thisBarIndex : The current bar index.
Returns: A tuple containing backtest values
init_table()
init_table()
Returns: tbl The backtest results.
update_table(tbl, tradeStatsHeader, totalTrades, totalWins, totalLosses, winLossRatio, winrate, stopLosses)
update_table(tbl, tradeStats)
Parameters:
tbl : The backtest results table.
tradeStatsHeader : The trade stats header.
totalTrades : The total number of trades.
totalWins : The total number of wins.
totalLosses : The total number of losses.
winLossRatio : The win loss ratio.
winrate : The winrate.
stopLosses : The total number of stop losses.
Returns: Updated backtest results table.
Komut dosyalarını "stop loss" için ara
RSI Overbought/Oversold + Divergence IndicatorDESCRIPTION:
This script combines the Relative Strength Index ( RSI ), Moving Average and Divergence indicator to make a better decision when to enter or exit a trade.
- The Moving Average line (MA) has been made hidden by default but enhanced with an RSIMA cloud.
- When the RSI is above the selected MA it turns into green and when the RSI is below the select MA it turns into red.
- When the RSI is moving into the Overbought or Oversold area, some highlighted areas will appear.
- When some divergences or hidden divergences are detected an extra indication will be highlighted.
- When the divergence appear in the Overbought or Oversold area the more weight it give to make a decision.
- The same color pallet has been used as the default candlestick colors so it looks familiar.
HOW TO USE:
The prerequisite is that we have some knowledge about the Elliot Wave Theory, the Fibonacci Retracement and the Fibonacci Extension tools.
Wave 1
(1) When we receive some buy signals we wait until we receive some extra indications.
(2) On the RSI Overbought/Oversold + Divergence Indicator we can see a Bullish Divergence and our RSI is changing from red to green ( RSI is higher then the MA).
(3) If we are getting here into the trade then we need to use a stop loss. We put our stop loss 1 a 2 pips just below the lowest wick. We also invest maximum 50% of the total amount we want to invest.
Wave 2
(4) Now we wait until we see a clear reversal and here we starting to use the Fibonacci Retracement tool. We draw a line from the lowest point of wave(1) till the highest point of wave (1). When we are retraced till the 0.618 fib also called the golden ratio we check again the RSI Overbought/Oversold + Divergence Indicator. When we see a reversal we do our second buy. We set again a stop loss just below the lowest wick (this is the yellow line on the chart). We also move the stop loss we have set in step (3) to this level.
Wave 3
(5) To identify how far the uptrend can go we need to use the Fibonacci Extension tool. We draw a line from the lowest point of wave(1) till the highest point of wave (1) and draw it back to the lowest point of wave (2). Wave (3) is most of the time the longest wave and can go till it has reached the 1.618 or 2.618 fib. On the 1.618 we can take some profit. If we don't want to sell we move our stop loss to the 1 fib line (yellow line on the chart).
(6) We wait until we see a clear reversal on the Overbought/Oversold + Divergence Indicator and sell 33% to 50% of our investment.
Wave 4
(7) Now we wait again until we see a clear reversal and here we starting to use the Fibonacci Retracement tool. We draw a line from the lowest point of wave(2) till the highest point of wave (3). When we are retraced till the 0.618 fib also called the golden ratio we check again the RSI Overbought/Oversold + Divergence Indicator. When we see a reversal we buy again. We set again a stop loss just below the lowest wick (this is the yellow line on the chart).
(8) If we bought at the first reversal ours stop los was triggered (9) and we got out of the trade.
(9) If we did not bought at step (7) because our candle did not hit the 0.618 fib or we got stopped out of the trade we buy again at the reversal.
Wave 5
(10) To identify how far the uptrend can go we need to use the Fibonacci Extension tool. We draw a line from the lowest point of wave(2) till the highest point of wave (3) and draw it back to the lowest point of wave (4). Most of the time wave 5 goes up till it has reached the 1 fib. And that is the point where we got out of the trade with all of our investment. In this trade we got out of the trade a bit earlier. We received the sell signals and got a reversal on the Overbought/Oversold + Divergence Indicator.
We are hoping you learned something so you can make better decisions when to get into or out of a trade.
If you have any question just drop it into the comments below.
FEATURES:
• You can show/hide the RSI .
• You can show/hide the MA.
• You can show/hide the lRSIMA cloud.
• You can show/hide the Stoch RSI cloud.
• You can show/hide and adjust the Overbought and Oversold zones.
• You can show/hide and adjust the Overbought Extended and Oversold Extended zones.
• You can show/hide the Overbought and Oversold highlighted zones.
• Etc...
HOW TO GET ACCESS TO THE SCRIPT:
• Favorite the script and add it to your chart.
REMARKS:
• This advice is NOT financial advice.
• We do not provide personal investment advice and we are not a qualified licensed investment advisor.
• All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice.
• We will not and cannot be held liable for any actions you take as a result of anything you read here.
• We only provide this information to help you make a better decision.
• While the information provided is believed to be accurate, it may include errors or inaccuracies.
Good Luck and have fun,
The CryptoSignalScanner Team
Position Tool█ OVERVIEW
This script is an interactive measurement tool that can be used to evaluate or keep track of trades. Like the long and short position drawing tools, it calculates a risk reward ratio and a risk-adjusted position size from the entry, stop and take profit levels, but it also does much more:
• It can be used to configure long or short trades.
• All monetary values can be expressed in any number of currencies.
• The value of tick/pip movement (which varies with the position's size) is displayed in the currency you have selected.
• The CAGR ( Compound Annual Growth Rate ) for the trade can be displayed.
• It does live tracking of the position.
• You can configure alerts on entries and exits.
█ HOW TO USE IT
Load the indicator on an active chart (see here if you don't know how).
When you first load this script on a chart, you will enter an interactive selection mode where the script asks you to pick three points in price and time on your chart by clicking on the chart. Directions will appear in a blue box at the bottom of the screen with each click of the mouse. The first selection is the entry point for the trade you are considering, which takes into account both the time and level you choose, the next are the take profit and stop levels. Once you have selected all three points, the script will draw trade zones and labels containing the trade metrics. The script determines if the trade is a long or short from the position of the take profit and stop loss levels in relation to the entry price. If the take profit level is above the entry price, the stop must be below and vice versa, otherwise an error occurs.
You can change levels by dragging the handles that appear when you select the indicator, or by entering new values in the script's settings. The only way to re-enter interactive mode is to re-add the indicator to your chart.
Once you place the position tool on a chart, it will appear at the same levels on all symbols you use. If your scale is not set to "Scale price chart only", the position tool's levels will be taken into account when scaling the chart, which can cause the symbol's bars to be compressed. If your scale is set to "Scale price chart only", the position tool will still be there, but it will not impact the scale of the chart's bars, so you won't see it if it sits outside the symbol's price scale.
If you select the position tool on your chart and delete it, this will also delete the indicator from the chart. You will need to re-add it if you want to draw another position tool. You can add multiple instances of the indicator if you need a position tool on more than one of your charts.
█ FEATURES
Display
The position tool displays the following information for entries:
• The entry's price level with an '@' sign before it.
• Open or Closed P&L : For an open trade, the "Open P&L" displays the difference in money value between the entry level and the chart's current price.
For a closed trade, the "Closed P&L" displays the realized P&L on the trade.
• Quantity : The trade size, which takes into account the risk tolerance you set in the script's settings.
• RR : The reward to risk ratio expresses the relationship of the distance between the entry and the take profit level vs the entry and the stop level.
Example: A $100 stop with a $100 target will have a ratio of 1:1, whereas a $200 target with the same stop will have a 2:1 ratio.
• Per tick/pip : Represents the money value of a tick or pip movement.
• CAGR : The Compound Annual Growth Rate will be displayed on the main order label on trades that exceed one day in duration.
This value is calculated the same way as in our CAGR Custom Range indicator.
If the trade duration is less than one day, the metric will not be present in the display.
The stop and take profit levels display:
• Their price level with an '@' sign before it.
• Their distance from the entry in money value, percentage and ticks/pips.
• The projected end money value of the position if the level is reached. These values are calculated based on the trade size and the currency.
Currency adjustments
This indicator modifies the trade label's colors and values based on the final Profit and Loss (P&L), which considers the dynamic exchange rate between base and conversion currencies in its calculations when the conversion currency is a specified value other than the default. Depending on the cross rate between the base and account currencies, this process can yield a negative P&L on an otherwise successful simulated trade.
For instance, if your account is in currency XYZ, you might buy 10 Apple shares at $150 each, with the XYZ to USD exchange rate being 2:1. This purchase would cost you 3000 units of XYZ. Suppose that later on, the shares appreciate to $170 each, and you decide to sell. One might expect this trade to result in profit. However, if the exchange rate has now equalized to 1:1, the return on selling the shares, calculated in XYZ, would only be 1700 units, resulting in a loss of 1300 units XYZ.
The indicator will mark the P&L and the target labels in red in such cases, regardless of whether the market price reached the profit target, as the trade produced a net loss due to reduced funds after currency conversion. Conversely, an otherwise unsuccessful position can result in a net profit in the account currency due to conversion rate fluctuations. The final losses or gains appear in the label metrics, and the corresponding color coding reflects the trade's success or failure.
Settings
The settings in the "Trade sizing" section are used to calculate the position size and the monetary value of trades. Two types of risk can be chosen from the menu; a percentage based risk calculation, or a fixed money value. The risk is used to calculate the quantity of units to purchase to achieve that level of risk exposure. Example: An account size of $1000 and 10% risk will have a projected end amount of $900 if the stop loss is hit. The quantity is a product of this relationship; a projected number of units to allow for the equivalent of $100 of risk exposure over the change in price from the entry to the stop value.
The "Trade levels" allow you to manually set the entry, take profit and stop levels of an existing position tool on your chart.
You can control the appearance of the tool and the values it displays in the settings following these first two sections.
Alerts
Three alerts that will trigger when you configure an alert on this indicator. The first will send an alert when the entry price is breached by price action if that price has not already been breached in the previous price history. This is dependant on the entry location you select when placing the indicator on the chart. The other two alerts will trigger when either the stop loss or the take profit level is breached to signal that a trade exit has occurred.
█ NOTES FOR Pine Script™ CODERS
• Interactive inputs are implemented for input.time() and input.price() . These specialized input functions allow users to interact with a script.
You can create one interactive input for both time and price values by using the same `inline` argument in a pair of input.time() and input.price() function calls.
• We use the `cagr()` function from our ta library.
• The script uses the runtime.error() function to throw an error if the stop and limit prices are not placed on opposing sides of the entry price.
• We use the `currency` parameter in a request.security() call to convert currencies.
Look first. Then leap.
Risk Management Strategy TemplateThis strategy is intended to be used as a base template for building new strategies.
It incorporates the following features:
Risk management:
Configurable X% loss per stop loss
Configurable R:R ratio
Trade entry:
Calculated position size based on risk tolerance
Trade exit:
Stop Loss currently configurable ATR multiplier but can be replaced based on strategy
Take Profit calculated from Stop Loss using R:R ratio
Backtesting:
Configurable backtesting range by date
Trade drawings:
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: Price is above EMA line
C2: RSI is crossing out of oversold area
SHORT
C1: Price is below EMA line
C2: RSI is crossing out of overbought area
Trade exit:
Stop Loss: Stop Loss ATR multiplier is hit
Take Profit: R:R multiplier * Stop Loss is hit
The idea is to use RSI to catch pullbacks within the main trend.
Note that this strategy is intended to be a simple base strategy for building upon. It was not designed to be traded in its current form.
MPF EMA Cross Strategy (8~13~21) by Market Pip FactoryThis script is for a complete strategy to win maximum profit on trades whilst keeping losses at a minimum, using sound risk management at no greater than 1.5%
The 3x EMA Strategy uses the following parameters for trade activation and closure.
1/ Daily Time Frame for trend confirmation
2/ 4 Hourly Time Frame for trend confirmation
3/ 1 Hourly Time Frame for trend confirmation AND trade execution
4/ 3x EMAs (Exponential Moving Averages)
* EMA#1 = 8 EMA (Red Color)
* EMA#2 = 13 EMA (Blue Color)
* EMA#3 = 21 EMA (Orange Color)
5/ Fanning of all 3x EMAs and CrossOver/CrossUnder for Trend Confirmation
6/ Price Action touching an 8 EMA for trade activation
7/ Price Action touching a 21 EMA for trade cancellation BEFORE activation
* For LONG trades: 8 EMA would be ABOVE 21 EMA
* For SHORT trades: 8 EMA would be BELOW 21 EMA
* For trade Cancellation, price action would touch the 21 EMA before trade is activated
* For trade Entry, price action would touch 8 EMA
Once trigger parameter is identified, entry is found by:
a) Price action touches 8 EMA (Candle must Close for confirmed Trade preparation)
b) Trade preparation can be cancelled before trade is activated if price action touches 21 EMA
c) Trailing Stop Loss can be used (optional) by counting back 5 candles from current candle
CLOSURE of a Trade is identified by:
e) 8 EMA crossing the 21 EMA, then close trade, no matter LONG or SHORT
f) Trail Stop Loss
IMPORTANT:
g) No more than ONE activated trade per EMA crossover
h) No more than ONE active trade per pair
NOTE: This strategy is to be used in conjunction with Cipher Twister (my other indicator) to reduce trades on
sideways price action and market trends for super high win ratio.
NOTE: Enabling of LONGs and SHORTs Via Cipher Twister is done by using the previous
green or red dot made. Additionally, when the trend changes, so do the dot's validity based
on being above or below the 0 centerline.
----------------------------
Strategy and Bot Logic
----------------------------
.....::: FOR SHORT TRADES ONLY :::.....
The Robot must use the following logic to enable and activate the SHORT trades:
Parameters:
$(crossunder)=8EMA,21EMA=Bearish $(crossover)=8EMA,21EMA=Bullish $entry=SELL STOP ORDER (Short)
$EMA#1 = 8 EMA (Red Color) $EMA#2 = 13 EMA (Blue Color) $EMA#3 = 21 EMA (Orange Color)
Strategy Logic:
1/ Check Daily Time Frame for trend confirmation if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=daily and trend=$(crossunder) then goto 2/ *Means: crossunder = ema21 > ema8
$(chart)=daily and trend=$(crossover) then stop (No trades) *Means: crossover = ema8 > ema21
NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on)
2/ Check 4 Hourly Time Frame for trend confirmation if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=4H and trend=$(crossunder) then goto 3/ *Means: crossunder = ema21 > ema8
$(chart)=4H and trend=$(crossover) then stop (No trades) *Means: crossover = ema8 > ema21
NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on)
3/ 1 Hourly Time Frame for trend confirmation AND trade execution if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=1H and trend=$(crossunder) then goto 4/ *Means: crossunder = ema21 > ema8
$(chart)=1H and trend=$(crossover) then stop (No trades) *Means: crossover = ema8 > ema21
4/ Trade preparation:
* if Next (subsequent) candle touches 8EMA, then set STOP LOSS and ENTRY
* $stoploss=3 pips ABOVE current candle HIGH
* $entry=3 pips BELOW current candle LOW
5/ Trade waiting (ONLY BEFORE entry is hit and trade activated):
* if price action touches 21 EMA then cancel trade and goto 1/
Note: Once trade is active this function does not apply !
6/ Trade Activation:
* if price activates/hits ENTRY price, then bot activates trade SHORTs market
7/ Optional Trailing stop:
* if active, then trailing stop 3 pips ABOVE previous HIGH of previous 5th candle
or * Move Stop Loss to Break Even after $X number of pips
NOTE: This means count back and apply accordingly to the 5th previous candle from current candle.
NOTE: This function is switchable. 0=off and 1=on(active). Default = 0 (off)
8/ Trade Close ~ Take Profit:
* Only TP when
$(chart)=1H and trend=$(crossover) then close trade ~ Or obviously if Stop Loss is hit if 7/ is activated.
----------END FOR SHORT TRADES LOGIC----------
.....::: FOR LONG TRADES ONLY :::.....
The Robot must use the following logic to enable and activate the LONG trades:
Parameters:
$(crossunder)=8EMA,21EMA=Bearish $(crossover)=8EMA,21EMA=Bullish $entry=BUY STOP ORDER (Long)
$EMA#1 = 8 EMA (Red Color) $EMA#2 = 13 EMA (Blue Color) $EMA#3 = 21 EMA (Orange Color)
Strategy Logic:
1/ Check Daily Time Frame for trend confirmation if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=daily and trend=$(crossover) then goto 2/ *Means: crossover = ema8 > ema21
$(chart)=daily and trend=$(crossunder) then stop (No trades) *Means: crossunder = ema21 > ema8
NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on)
2/ Check 4 Hourly Time Frame for trend confirmation if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=4H and trend=$(crossover) then goto 3/ *Means: crossover = ema8 > ema21
$(chart)=4H and trend=$(crossunder) then stop (No trades) *Means: crossunder = ema21 > ema8
NOTE: This function is switchable. 0=off and 1=on(active). Default = 1 (on)
3/ 1 Hourly Time Frame for trend confirmation AND trade execution if:
(look back up to 50 candles - find last cross of EMAs)
$(chart)=1H and trend=$(crossover) then goto 4/ *Means: crossover = ema8 > ema21
$(chart)=1H and trend=$(crossunder) then stop (No trades) *Means: crossunder = ema21 > ema8
4/ Trade preparation:
* if Next (subsequent) candle touches 8EMA, then set STOP LOSS and ENTRY
* $stoploss=3 pips BELOW current candle LOW
* $entry=3 pips ABOVE current candle HIGH
5/ Trade waiting (ONLY BEFORE entry is hit and trade activated):
* if price action touches 21 EMA then cancel trade and goto 1/
Note: Once trade is active this function does not apply !
6/ Trade Activation:
* if price activates/hits ENTRY price, then bot activates trade LONGs market
7/ Optional Trailing stop:
* if active, then trailing stop 3 pips BELOW previous LOW of previous 5th candle
or * Move Stop Loss to Break Even after $X number of pips
NOTE: This means count back and apply accordingly to the 5th previous candle from current candle.
NOTE: This function is switchable. 0=off and 1=on(active). Default = 0 (off)
8/ Trade Close ~ Take Profit:
* Only TP when
$(chart)=1H and trend=$(crossunder) then close trade ~ Or obviously if Stop Loss is hit if 7/ is activated.
----------END FOR LONG TRADES LOGIC----------
IMPORTANT:
* If an existing trade is already open for that same pair, & price action touches 8EMA, do NOT open a new trade..
* bot must continuously check if a trade is currently open on the pair that triggers
* New trades are to be only opened if there is no active trade opened on current pair.
* Only 1 trade per pair rule !
* 5 simultaneous open trades (not same pairs) default = 5 but value can be changed accordingly.
* Maximum risk management must not exceed 1.5% on lot size
*** Some features are not yet available autoated, they will be added in due course in subsequent version updates ***
Loft Strategy V4This strategy is an advanced version of the Loft Strategy V1, I shared earlier. (Loft Strategy V1 consists of a kalman filter (by alexgrover ) and a "stop and reverse" line which is following and the kalman filter. If the price goes in the same direction as the position side, the "stop and reverse" line approaches the kalman filter as set on the "Approach Decrease Step" parameter.)
In addition to the previous version, it includes a martingale like deviation and multiple take-profit.
Here it is some parameters definitions of the strategy:
Kalman Filter: The higher this parameter, the faster and more aggressive the filter. Otherwise the filter goes very smoothly
Beginning Approach: First approximation as a percentage of stop-n-reverse line
Final Approach: Minimum approximation of stop-n-reverse line
Approach Decrease Step: If the price moves in the same direction as the strategy, the approach percentage is reduced by this parameter. Otherwise nothing do
Base Order Quantity: Initial capital of position
Max Safe Order Attempt: This parameter determines the maximum number of times the strategy will raise the bet after losing in a row.
Safe Order Deviation: if the last trade is loss, multiply the bet by this parameter (aka. martingale factor)
Profit Deviation: if last trade in loss, multiply the take-profit points
Max Order Quantity: Maximum capital allowed for a position
TP1, TP2, TP3 : Take profit spots in percentage
QT1, QT2, QT3: Amount of take-profit spots
Stop Loss: Maximum stop loss allowed for a trade
Long Entry, Short Entry: Only long side, only short side or both side
Safe Stop After TP2: If the price reaches the TP2 point, move the stop-loss point to the entry price.
Safe Stop After TP1: If the price reaches TP1, move the stop-loss point to the stop-n-reverse line.
Double SupertrendThis strategy is based on a custom indicator that was created based on the Supertrend indicator. At its core, there are always 2 super trend indicators with different factors to reduce market noise (false signals).
The strategy/indicator has some parameters to improve the signals and filters.
TECHNICAL ANALYSIS
☑ Show Indicators
This option will enable/disable the Supertrend indicators on the chart.
☑ Length
The length will be used on the Supertrend Indicator to calculate its values.
☑ Dev Fast
The fast deviation or factor from one of the super trend indicators. This will be the leading indicator for entry signals, as well as for the exit signals.
☑ Dev Slow
The slow deviation or factor from one of the super trend indicators. This will be the confirmation indicator for entry and exit signals.
☑ Exit Type
It's possible to select from 4 options for the exit signals. Exit signals always take profit target.
☑ ⥹ Reversals
This option will make the strategy/indicator calculate the exit signals based on the difference between the given period's highest and lowest candle value (see Period on this list). It's displayed on the chart with the cross. As it's possible to verify in the image below, there are multiple exit spots for every entry.
☑ ⥹ ATR
Using ATR as a base indicator for exit signals will make the strategy/indicator place limit/stop orders. Candle High + ATR for longs, Candle Low - ATR for shorts. The strategy will show the ATR level for take profit and stick with it until the next signal. This way, the take profit value remains based on the candle of the entry signal.
☑ ⥹ Fast Supertrend
With this option selected, the exit signals will be based on the Fast Supertsignal value, mirrored to make a profit.
☑ ⥹ Slow Supertrend
With this option selected, the exit signals will be based on the Slow Supertsignal value, which is mirrored to take profit.
☑ Period
This will represent the number of candles used on the exit signals when Reversals is selected as Exit Type. It's also used to calculate the gradient used on the Fills and Supertrend signals.
☑ Multiplier
It's used on the take profit when the ATR option is selected on the Exit Type.
STRATEGY
☑ Use The Strategy
This will enable/disable the strategy to show the trades calculations.
☑ Show Use Long/Short Entries
Option to make the strategy show/use Long or Short signals. Available only if Use The Strategy is enabled
☑ Show Use Exit Long/Short
Option to make the strategy show/use Exit Long or Short signals (valid when Reversals option is selected on the Exit Type). Available only if Use The Strategy is enabled
☑ Show Use Add Long/Short
Option to make the strategy show/use Add Long or Short signals. With this option enabled, the strategy will place multiple trades in the same direction, almost the same concept as a pyramiding parameter. It's based on the Fast Supersignal when the candle fails to cross and reverses. Available only if Use The Strategy is enabled
☑ Trades Date Start/End
The date range that the strategy will check the market data and make the trades
HOW TO USE
It's very straightforward. A long signal will appear as a green arrow with a text Long below it. A short signal will appear as a red arrow with a text Short above it. It's ideal to wait for the candle to finish to validate the signal.
The exit signals are optional but give a good idea of the configuration used when backtesting. Each market and timeframe will have its own configuration for the best results. On average, sticking to ATR as an exit signal will have less risk than the other options.
☑ Entry Signals
Follow the arrows with Long/Short texts on them. Wait for the signal candle to close to validate the entry.
☑ Exit Signals
Use them to close your position or to trail stop your orders and maximize profits. Select the exit type suitable for each timeframe and market
☑ Add Entries
It's possible to increase the position following the add margin/contracts based on the Add signals. Not mandatory, but may work as reentries or late entries using the same signal.
☑ What about Stop Loss?
The stop-loss levels were not included as a separated signal because it's already in the chart. There are some possible ideas for the stop loss:
☑⥹ Candle High/Low (2nd recommend option)
When it's a Long signal from the entry signal candle, the stop loss can be the Low value of the same candle. Very tight stop loss in some cases, depending on the candle range
☑⥹ Local Top/Bottom
Selecting the local top/bottom as stop loss will give the strategy more room for false breakouts or reversals, keeping the trade open and minimizing noises. Increases the risk
☑⥹ Fast Supertrend (1st recommend option)
The fast supertrend can be used as stop-loss as well. making it a moving level and working close to trail stop management
☑⥹ Fixed Percentage
It's possible to use a fixed risk percentage for the trades, making the risk easier to control and project. Since the market volatility is not fixed, this may affect the accuracy of the trades
☑⥹ Based on the ATR (3rd recommend option)
When the exit type option ATR is selected, it will display the take profit level for that entry. Just mirror that value and put it as stop-loss, or multiply that amount by 1.5 to have more room for market noise.
EXAMPLE CONFIGURATIONS
Here are some configuration ideas for some markets (all of them are from crypto, especially futures markets)
BTCUSDT 15min - Default configuration
BTCUSDT 1h - Length 10 | Dev Fast 3 | Dev Slow 4 | Exit Type ATR | Period 50 | Multiplier 1
BTCUSDT 4h - Length 10 | Dev Fast 2 | Dev Slow 4 | Exit Type ATR | Period 50 | Multiplier 1
ETHUSDT 15min - Length 20 | Dev Fast 1 | Dev Slow 3 | Exit Type Fast Supertrend | Period 50 | Multiplier 1
IOTAUSDT 15min - Length 10 | Dev Fast 1 | Dev Slow 2 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
OMGUSDT 15min - Length 10 | Dev Fast 1 | Dev Slow 4 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
VETUSDT 15min - Length 10 | Dev Fast 3 | Dev Slow 4 | Exit Type Slow Supertrend | Period 50 | Multiplier 1
HOW TO FIND OTHER CONFIGURATIONS
Here are some steps to find suitable configurations
select a market and time frame
enable the Use This Strategy option on the strategy
open the strategy tester panel and select the performance summary
open the strategy configuration and go to properties
change the balance to the same price of the symbol (example: BTCUSDT 60.000, use 60.000 as balance)
go back to the inputs tab and keep changing the parameters until you see the net profit be positive and bigger than the absolute value of the drawdown
in case you can't find a suitable configuration, try other timeframes
Since the tester reflects what happened in the past candles, it's not guaranteed to give the same results. However, this indicator/Strategy can be used with other indicators as a leading signal or confirmation signal.
stop out or margin call price levelsAbstract
This script finds the potential stop out or margin call price levels without considering timeframe.
This script computes stop out or margin call price levels that over leveraged positions buy cheap enough.
You can use this indicator to follow stop hunters.
Introduction
Stop hunting exists because of benefit conflict.
When most of retails traders are in the correct direction, big banks do not want to buy more expensive then retail traders.
Therefore, Big banks create sell pressure to make retail traders misunderstand their trade decisions are wrong.
When retail traders decide to cut loss, it is time big banks buy cheaper.
Many courses recommend average true range as a stop loss reference.
However, in different timeframe, average true ranges are different.
Therefore, we need to have a method to measure potential stop hunting levels which is not relative to timeframe.
There is a method because there are observable levels where over leveraged positions must cut loss.
For example, for a 100 leverage position, its margin call level is 0.005, so 0.005 drawdown is a potential stop hunting level.
Computing
For buy
potential stop out or margin call price level = low * ( 1 - ratio )
For sell
potential stop out or margin call price level = high * ( 1 + ratio )
Parameters
There are 4 levels available for adjusting.
The default values are :
(1) 0.001 : 500 leverage , 50% margin call
(2) 0.0025 : 200 leverage , 50% margin call
(3) 0.005 : 100 leverage , 50% margin call
(4) 0.010 : 50 leverage , 50% margin call
Usage
(1) Find an oversold price level. If you don't want to use an another indicator, you can use previous low.
(2) Memorize their stop out or margin call price levels of that level.
(2) Consider buy near those levels.
(3) If there are quick price rejection near those levels, better entry opportunities.
(4) Take profit and stop loss : you decide.
Conclusion
This script can find potential stop out or margin call price levels that over leveraged positions buy cheap enough.
If you are bored, you can consider find 100 signals you are interested in and share your observation.
Reference
Brokers, leverage and margin call threshold
888 BOT #backtest█ 888 BOT #backtest (open source)
This is an Expert Advisor 'EA' or Automated trading script for ‘longs’ and ‘shorts’, which uses only a Take Profit or, in the worst case, a Stop Loss to close the trade.
It's a much improved version of the previous ‘Repanocha’. It doesn`t use 'Trailing Stop' or 'security()' functions (although using a security function doesn`t mean that the script repaints) and all signals are confirmed, therefore the script doesn`t repaint in alert mode and is accurate in backtest mode.
Apart from the previous indicators, some more and other functions have been added for Stop-Loss, re-entry and leverage.
It uses 8 indicators, (many of you already know what they are, but in case there is someone new), these are the following:
1. Jurik Moving Average
It's a moving average created by Mark Jurik for professionals which eliminates the 'lag' or delay of the signal. It's better than other moving averages like EMA , DEMA , AMA or T3.
There are two ways to decrease noise using JMA . Increasing the 'LENGTH' parameter will cause JMA to move more slowly and therefore reduce noise at the expense of adding 'lag'
The 'JMA LENGTH', 'PHASE' and 'POWER' parameters offer a way to select the optimal balance between 'lag' and over boost.
Green: Bullish , Red: Bearish .
2. Range filter
Created by Donovan Wall, its function is to filter or eliminate noise and to better determine the price trend in the short term.
First, a uniform average price range 'SAMPLING PERIOD' is calculated for the filter base and multiplied by a specific quantity 'RANGE MULTIPLIER'.
The filter is then calculated by adjusting price movements that do not exceed the specified range.
Finally, the target ranges are plotted to show the prices that will trigger the filter movement.
Green: Bullish , Red: Bearish .
3. Average Directional Index ( ADX Classic) and ( ADX Masanakamura)
It's an indicator designed by Welles Wilder to measure the strength and direction of the market trend. The price movement is strong when the ADX has a positive slope and is above a certain minimum level 'ADX THRESHOLD' and for a given period 'ADX LENGTH'.
The green color of the bars indicates that the trend is bullish and that the ADX is above the level established by the threshold.
The red color of the bars indicates that the trend is down and that the ADX is above the threshold level.
The orange color of the bars indicates that the price is not strong and will surely lateralize.
You can choose between the classic option and the one created by a certain 'Masanakamura'. The main difference between the two is that in the first it uses RMA () and in the second SMA () in its calculation.
4. Parabolic SAR
This indicator, also created by Welles Wilder, places points that help define a trend. The Parabolic SAR can follow the price above or below, the peculiarity that it offers is that when the price touches the indicator, it jumps to the other side of the price (if the Parabolic SAR was below the price it jumps up and vice versa) to a distance predetermined by the indicator. At this time the indicator continues to follow the price, reducing the distance with each candle until it is finally touched again by the price and the process starts again. This procedure explains the name of the indicator: the Parabolic SAR follows the price generating a characteristic parabolic shape, when the price touches it, stops and turns ( SAR is the acronym for 'stop and reverse'), giving rise to a new cycle. When the points are below the price, the trend is up, while the points above the price indicate a downward trend.
5. RSI with Volume
This indicator was created by LazyBear from the popular RSI .
The RSI is an oscillator-type indicator used in technical analysis and also created by Welles Wilder that shows the strength of the price by comparing individual movements up or down in successive closing prices.
LazyBear added a volume parameter that makes it more accurate to the market movement.
A good way to use RSI is by considering the 50 'RSI CENTER LINE' centerline. When the oscillator is above, the trend is bullish and when it is below, the trend is bearish .
6. Moving Average Convergence Divergence ( MACD ) and ( MAC-Z )
It was created by Gerald Appel. Subsequently, the histogram was added to anticipate the crossing of MA. Broadly speaking, we can say that the MACD is an oscillator consisting of two moving averages that rotate around the zero line. The MACD line is the difference between a short moving average 'MACD FAST MA LENGTH' and a long moving average 'MACD SLOW MA LENGTH'. It's an indicator that allows us to have a reference on the trend of the asset on which it is operating, thus generating market entry and exit signals.
We can talk about a bull market when the MACD histogram is above the zero line, along with the signal line, while we are talking about a bear market when the MACD histogram is below the zero line.
There is the option of using the MAC-Z indicator created by LazyBear, which according to its author is more effective, by using the parameter VWAP ( volume weighted average price ) 'Z-VWAP LENGTH' together with a standard deviation 'STDEV LENGTH' in its calculation.
7. Volume Condition
Volume indicates the number of participants in this war between bulls and bears, the more volume the more likely the price will move in favor of the trend. A low trading volume indicates a lower number of participants and interest in the instrument in question. Low volumes may reveal weakness behind a price movement.
With this condition, those signals whose volume is less than the volume SMA for a period 'SMA VOLUME LENGTH' multiplied by a factor 'VOLUME FACTOR' are filtered. In addition, it determines the leverage used, the more volume , the more participants, the more probability that the price will move in our favor, that is, we can use more leverage. The leverage in this script is determined by how many times the volume is above the SMA line.
The maximum leverage is 8.
8. Bollinger Bands
This indicator was created by John Bollinger and consists of three bands that are drawn superimposed on the price evolution graph.
The central band is a moving average, normally a simple moving average calculated with 20 periods is used. ('BB LENGTH' Number of periods of the moving average)
The upper band is calculated by adding the value of the simple moving average X times the standard deviation of the moving average. ('BB MULTIPLIER' Number of times the standard deviation of the moving average)
The lower band is calculated by subtracting the simple moving average X times the standard deviation of the moving average.
the band between the upper and lower bands contains, statistically, almost 90% of the possible price variations, which means that any movement of the price outside the bands has special relevance.
In practical terms, Bollinger bands behave as if they were an elastic band so that, if the price touches them, it has a high probability of bouncing.
Sometimes, after the entry order is filled, the price is returned to the opposite side. If price touch the Bollinger band in the same previous conditions, another order is filled in the same direction of the position to improve the average entry price, (% MINIMUM BETTER PRICE ': Minimum price for the re-entry to be executed and that is better than the price of the previous position in a given %) in this way we give the trade a chance that the Take Profit is executed before. The downside is that the position is doubled in size. 'ACTIVATE DIVIDE TP': Divide the size of the TP in half. More probability of the trade closing but less profit.
█ STOP LOSS and RISK MANAGEMENT.
A good risk management is what can make your equity go up or be liquidated.
The % risk is the percentage of our capital that we are willing to lose by operation. This is recommended to be between 1-5%.
% Risk: (% Stop Loss x % Equity per trade x Leverage) / 100
First the strategy is calculated with Stop Loss, then the risk per operation is determined and from there, the amount per operation is calculated and not vice versa.
In this script you can use a normal Stop Loss or one according to the ATR. Also activate the option to trigger it earlier if the risk percentage is reached. '% RISK ALLOWED'
'STOP LOSS CONFIRMED': The Stop Loss is only activated if the closing of the previous bar is in the loss limit condition. It's useful to prevent the SL from triggering when they do a ‘pump’ to sweep Stops and then return the price to the previous state.
█ BACKTEST
The objective of the Backtest is to evaluate the effectiveness of our strategy. A good Backtest is determined by some parameters such as:
- RECOVERY FACTOR: It consists of dividing the 'net profit' by the 'drawdown’. An excellent trading system has a recovery factor of 10 or more; that is, it generates 10 times more net profit than drawdown.
- PROFIT FACTOR: The ‘Profit Factor’ is another popular measure of system performance. It's as simple as dividing what win trades earn by what loser trades lose. If the strategy is profitable then by definition the 'Profit Factor' is going to be greater than 1. Strategies that are not profitable produce profit factors less than one. A good system has a profit factor of 2 or more. The good thing about the ‘Profit Factor’ is that it tells us what we are going to earn for each dollar we lose. A profit factor of 2.5 tells us that for every dollar we lose operating we will earn 2.5.
- SHARPE: (Return system - Return without risk) / Deviation of returns.
When the variations of gains and losses are very high, the deviation is very high and that leads to a very poor ‘Sharpe’ ratio. If the operations are very close to the average (little deviation) the result is a fairly high 'Sharpe' ratio. If a strategy has a 'Sharpe' ratio greater than 1 it is a good strategy. If it has a 'Sharpe' ratio greater than 2, it is excellent. If it has a ‘Sharpe’ ratio less than 1 then we don't know if it is good or bad, we have to look at other parameters.
- MATHEMATICAL EXPECTATION: (% winning trades X average profit) + (% losing trades X average loss).
To earn money with a Trading system, it is not necessary to win all the operations, what is really important is the final result of the operation. A Trading system has to have positive mathematical expectation as is the case with this script: ME = (0.87 x 30.74$) - (0.13 x 56.16$) = (26.74 - 7.30) = 19.44$ > 0
The game of roulette, for example, has negative mathematical expectation for the player, it can have positive winning streaks, but in the long term, if you continue playing you will end up losing, and casinos know this very well.
PARAMETERS
'BACKTEST DAYS': Number of days back of historical data for the calculation of the Backtest.
'ENTRY TYPE': For '% EQUITY' if you have $ 10,000 of capital and select 7.5%, for example, your entry would be $ 750 without leverage. If you select CONTRACTS for the 'BTCUSDT' pair, for example, it would be the amount in 'Bitcoins' and if you select 'CASH' it would be the amount in $ dollars.
'QUANTITY (LEVERAGE 1X)': The amount for an entry with X1 leverage according to the previous section.
'MAXIMUM LEVERAGE': It's the maximum allowed multiplier of the quantity entered in the previous section according to the volume condition.
The settings are for Bitcoin at Binance Futures (BTC: USDTPERP) in 15 minutes.
For other pairs and other timeframes, the settings have to be adjusted again. And within a month, the settings will be different because we all know the market and the trend are changing.
VWMA_withATRstops_strategyThis strategy follows the trend when price is above VWMA indicator. I have modified entry and exit rules to get most out of it.
Instead of entering LONG when price crosses above VWMA, I have used RSI(14) of VWMA . that way it skips the false signals. (some extent)
ENTRY
========
1. VWMA setting is 33
2. When RSIofVwma is above 30 enter Long ( and also checks if price already broke the ATR Stop above line )
Stop Loss and Exits
==================
1. Exit is when price breaks the ATR stop loss
2. ATR setting is set as same VWMA Length and multiplier is 3.5
3. STOP Loss that I mentioned in the settings is being used to calculate the how many units can be purchased based on risk of capital value.
Note: There is NO hard stop loss. having above ATR stop loss works as Trailing stop loss
Warning
=======
For the educational purposes only
mForex - 3 Moving Average - Parabolic SARScript identifies the uptrend and downtrend according to the average price of the MA and PSAR lines.
Rules of sale:
- Open short positions when:
MA12 cuts MA26 and MA52 from the top.
PSAR dots on the price line
- Stop loss:
At the dots of PSAR and use Trailing Stop facing up
On the nearest peak
- Profit-taking: Corresponding ratio of R: R (1: 2)
- Open long positions when:
MA12 cuts MA26 and MA52 from the bottom.
PSAR dots below the price line
- Stop loss:
At the dots of PSAR and use Trailing Stop facing down
Below the nearest peak
- Profit-taking: Corresponding ratio of R: R (1: 2)
MACD BF 🚀Customised MACD strategy with dynamic stop losses based on ATR.
Signals are generated when the delta value becomes positive or negative (when it crosses the zero line)
Stop losses are printed on the chart in yellow and orange. They are based on recent average True Range to allow for volatility.
INSTRUCTIONS
Green background = long
Red background = short
Yellow dotted line = stop loss placement for long
Orange dotted line = stop loss placement for short
White background = you have been stopped out, wait patiently for the next signal
Center of Gravity BF 🚀Thanks to HPotter for the code I based this strategy on.
Center of Gravity calculation is based here on a linear regression function using the least squares method.
We use this to calculate a channel consisting of 2 lines, green and red on the chart
This strategy employs a dynamic stop loss function that measures stop loss placement based on recent ATR.
How signals are generated:
Price closes above green line = Go Long
Price closes below red line = Go Short
Yellow dotted line = stop loss based on long entry
Orange dotted line = stop loss based on short entry
INSTRUCTIONS
Green background = Go Long, put your stop loss at the yellow dotted line
Red background = Go Short, put your stop loss at the orange dotted line
NB: The stop losses printed on the chart are calculated from the point of entry on a trade, if you make a different entry to what is indicated, the corresponding stop loss will be different to what the indicator displays.
ATR based Pivots mcbwHey everyone this is an exciting new script I have prepared for you.
I was reading an old forex bulletin article some time ago when I came across this: solar.murty.net (or you can download the full bulletin with lots of other good articles here: www.forexfactory.com).
You can already buy this for metatrader (www.mql5.com) so I figured to make it for free for tradingview.
This bulletin suggested that you can reasonably predict daily volatility by adding or subtracting multiples of the daily ATR to the daily opening. Using this you can choose multiples to use as price targets and alternatively as stop losses. For example, if you already have a sense of market direction you can buy at market open place a stop loss at - 1 daily ATR and a profit target at + 3 ATRs for a risk to reward ratio of 3. If you are looking for smaller/quicker moves with a ratio of 3 you can have a stop loss at -0.25 ATR and a take profit at +0.75 ATR.
Alternatively this article also suggests to use this method to catch volatility breakouts. If price is higher than the + 1 ATR area then you can safely assume it will be going to the +2 ATR area so you can put a buy stop at + 1 ATR with a profit target at + 2 ATR with a stop loss at +0.5 ATR to catch a volatility breakout with a risk to reward ratio of 2!
Even further there are methods that you can use with ATRs of multiple window sizes, for example by opening two copies of this indicator and measuring recent volatility with a 1 week window and long term volatility within a 1 month window. If the short term volatility is crossing the long term volatility then there is a high probability chance that even more price movement will occur.
However I have found that this method is good for more than daily volatility , it can also be used to measure weekly volatility , and monthly volatility and use these multiples as good long term price targets.
To select if you want daily, weekly, or monthly values of the ATR of volatility you're using go to the settings and click on the options in the "Opening period". The default window of the ATR here is 14 periods, but you can change this if you want to in "ATR period". Most importantly you are able to select which multiples of the ATR you would like to use in the settings in "ATR multiple 1" which is the green line, "ATR multiple 2" which is the blue line, and "ATR multiple 3" which is the purple line. You can select any values you want to put in these, the choice of 0.25, 0.5, and 1 is not special, some people use fibonacci numbers here or simply 0.33, 0.66, and 0.99.
Repainting issue: This script uses the daily value of the Average True Range (ATR), which measures the volatility that is happening today. If price becomes more volatile then the value of the ATR can increase throughout the day, but it can never decrease. What this means is that the ATR based pivots are able to expand away from the opening price, which should not affect the trades that you take based on these areas. If you base your take profit on one of these ATR multiples and the daily volatility increase this means that your take profit area will be closer to your entry than the ATR multiple. Meaning that your trades will be more conservative.
While this all may sound very technical it is super intuitive, throw this on your chart and play around with it :)
Happy trading!
Trend is your friendThis indicator evaluates the trend based on crosses of two McGinley moving averages. It paints candles accordingly (it does not repaint), so you can see what the indicator is saying more clearly and stay in your trade until you see a period of consolidation or a reversal. You can control how far away those moving averages need to be for you to consider it a trend. If this distance is not met candles color is not changed and it shows you that the market is in a period of consolidation. I also added visualization of RSI, so you can have an easier time finding appropriate profit targets. For stop loss I would recommend placing it a couple points above or below the previous high / low that is located above / below you final target for entry. You can also use a certain percentage that works for you. I tried adding a stop loss based on ATR, but I did not like the results. Using market structure is a better choice in my opinion.
Here is a basic trading strategy for the default settings:
Wait for the indicator to start printing a series of green or red candles. After that you can enter a long or a short around moving averages. Another valid place to entry is the specific RSI zone. If we are in an uptrend buying when RSI is oversold can be beneficial as you expect market to recover. I do not recommend changing RSI from 14. Vice versa for the downtrend. It gives you an edge as you know at what price RSI will be oversold and allows you to place trades in advance. Pretty neat! You need to realize that no indicator or strategy can give you an exact entry. There will always be some margin of error. What I wanted to say is that if there is a strong trend up and you buy around your key moving averages and when RSI is oversold you entered in good places and there is a pretty good chance you will make money.
Time frame settings:
If you want to use tighter stop losses I would recommend sticking to 15m. Do not go lower. It is not worth the stress. 1h and 4h seems to be very good as well, but expect your stop losses to be wider. What I personally tend to do is display 15m, 30m and 1h and compare it. Think of it as a short, mid and long term. That way you can see things little bit better.
Examples:
1H chart BTC
4h chart EUR / USD
1D chart NASDAQ
15m chart BTC (Daytrading)
That last chart shows that even if you were longing while the trend was about to change you still had a good chance to close it with a little profit and switch to short easily. The default settings is what has worked the best for me. Feel free to change them as you see fit and do not forget to let me know if you find something that works better :)
Notes:
Either disable wick display or change it to a neutral color like gray for both green and red candles. Unfortunately pine script does not allow wick painting, so if you have red / green wicks it will look terrible. If RSI visualization makes your candles look too small you can go to settings and disable the display of individual RSI levels. You will still be able to see the zones, but the scale won't be affected.
High Win Rate Trader by iambuoyant# High Win Rate Trader by iambuoyant - Complete Guide
## Introduction
The "High Win Rate Trader by iambuoyant" is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities across various market conditions. Built with a multi-faceted approach, it integrates several key technical analysis concepts to provide robust buy and sell signals, aiming to maximize potential returns while managing risk. This indicator is particularly useful for traders looking for confirmed entries based on a confluence of factors rather than relying on a single signal.
## Core Philosophy
This indicator operates on the principle that **multiple confirming factors create higher probability trades**. Instead of relying on a single indicator, it combines trend analysis, momentum oscillators, volume confirmation, market structure, and mathematical levels to identify optimal entry points. The more confluence factors that align, the stronger the trading signal.
## Strategies and Confluence Factors
### 1. Trend Analysis
**Purpose**: Establishes the overall market direction to ensure trades align with momentum.
**Components**:
- **Fast EMA (Default: 9)**: Short-term trend detection
- **Slow EMA (Default: 21)**: Medium-term trend confirmation
- **Trend EMA (Default: 50)**: Long-term trend establishment
**How it works**:
- **Bullish Trend**: Fast EMA > Slow EMA > Trend EMA
- **Bearish Trend**: Fast EMA < Slow EMA < Trend EMA
- Signals are filtered to only trigger in the direction of the established trend
**Default Settings**:
- Fast EMA Period: 9
- Slow EMA Period: 21
- Trend EMA Period: 50
### 2. Oscillator Confirmation
**Purpose**: Identifies overbought/oversold conditions and momentum shifts.
#### RSI (Relative Strength Index)
- **Period (Default: 14)**: Standard RSI calculation period
- **Overbought Level (Default: 70)**: RSI level considered overbought
- **Oversold Level (Default: 30)**: RSI level considered oversold
**How it works**:
- **Bullish**: RSI < 40 and turning upward (oversold recovery)
- **Bearish**: RSI > 60 and turning downward (overbought rejection)
#### Stochastic Oscillator
- **K Period (Default: 14)**: Stochastic %K calculation period
- **D Period (Default: 3)**: Stochastic %D smoothing period
- **Overbought Level (Default: 80)**: Stochastic overbought threshold
- **Oversold Level (Default: 20)**: Stochastic oversold threshold
**How it works**:
- **Bullish**: %K < 30 and (%K turning up OR %K > %D)
- **Bearish**: %K > 70 and (%K turning down OR %K < %D)
### 3. MACD (Moving Average Convergence Divergence)
**Purpose**: Confirms momentum shifts and trend changes.
**Components**:
- **Fast Period (Default: 12)**: Fast EMA for MACD calculation
- **Slow Period (Default: 26)**: Slow EMA for MACD calculation
- **Signal Period (Default: 9)**: Signal line smoothing period
**How it works**:
- **Bullish**: MACD line > Signal line OR (MACD rising AND histogram increasing)
- **Bearish**: MACD line < Signal line OR (MACD falling AND histogram decreasing)
### 4. Volume Analysis
**Purpose**: Confirms price moves with volume conviction.
**Components**:
- **Volume MA Period (Default: 20)**: Period for volume moving average
- **Volume Multiplier (Default: 1.5)**: Volume threshold multiplier
**How it works**:
- **Bullish**: Current volume > (Volume MA × 1.5)
- **Bearish**: Current volume > (Volume MA × 1.5)
### 5. Market Structure and Volatility
#### Support and Resistance Levels
- **Pivot Length (Default: 10)**: Period for pivot high/low detection
- **Dynamic Levels**: Automatically identifies recent swing highs and lows
- **Proximity Check**: Ensures trades aren't initiated too close to S/R levels
#### ATR (Average True Range)
- **ATR Period (Default: 14)**: Volatility measurement period
- **ATR Multiplier (Default: 2.0)**: Stop loss distance multiplier
- **Volatility Filter (Default: 50.0%)**: Maximum allowed volatility percentage
**How it works**:
- Calculates market volatility using ATR
- Prevents trades in excessively volatile conditions
- Helps determine dynamic stop loss levels
### 6. Fibonacci Retracements
**Purpose**: Identifies key mathematical support/resistance levels.
**Components**:
- **Lookback Period (Default: 50)**: Period for swing high/low calculation
- **Tolerance (Default: 2.0%)**: Price proximity tolerance to Fib levels
**Key Levels**: 23.6%, 38.2%, 50%, 61.8%, 78.6%
**How it works**:
- **Bullish**: Price near 38.2%, 50%, or 61.8% retracement levels in uptrend
- **Bearish**: Price near 38.2%, 50%, or 61.8% retracement levels in downtrend
### 7. Risk Management
#### Risk:Reward Ratio
- **Minimum RR Ratio (Default: 1.0)**: Minimum acceptable risk:reward ratio
- **Dynamic Calculation**: Based on support/resistance levels and ATR
#### Dynamic Stop Loss
- **ATR-based**: Stop loss = Entry ± (ATR × 1.5)
- **S/R-based**: Uses nearby support/resistance levels when available
### 8. Signal Confirmation
**Confirmation Bars (Default: 0)**:
- **0**: Immediate signals (recommended for testing)
- **1+**: Delayed confirmation for reduced false signals
## How to Use the Indicator
### Step 1: Initial Setup
1. **Add to Chart**: Apply the "High Win Rate Trader by iambuoyant" indicator to your desired chart in TradingView
2. **Verify Display**: Ensure you can see the indicator plots and debug pane below the main chart
### Step 2: Understanding the Signals
#### Visual Elements:
- **Green Triangles (Buy)**: Appear below price bars for long entry signals
- **Red Triangles (Sell)**: Appear above price bars for short entry signals
- **Labels**: Show "BUY" or "SELL" with current RSI value
- **EMA Lines**: Blue (Fast), Orange (Slow), Gray (Trend) - visible when enabled
#### Signal Types:
- **Flash Signals**: Immediate signals when conditions are first met
- **Confirmed Signals**: Signals that have passed confirmation criteria
### Step 3: Debugging and Optimization
#### Access Debug Features:
1. Click the gear icon next to the indicator name
2. Navigate to "Signal Components (Debugging)" section
3. All confluence factors start **disabled** by default
#### Initial Testing Process:
1. **Start Simple**: Keep all "Enable X Condition" toggles **OFF**
2. **Enable Basic**: Turn on "Enable RSI Condition" first
3. **Observe Signals**: Check if buy/sell signals appear
4. **Gradual Addition**: Enable one condition at a time
5. **Monitor Debug Plots**: Watch the colored crosses in the lower pane
#### Debug Plot Interpretation:
- **Green Crosses (Value 1)**: Bullish conditions met
- **Red Crosses (Value 2)**: Bearish conditions met
- **No Cross**: Condition not met
- **"Debug: Final Long/Short Signal"**: Combined signal output
### Step 4: Fine-tuning Parameters
#### If Signals Are Too Rare:
1. **Reduce Thresholds**: Lower RSI overbought/oversold levels
2. **Relax Filters**: Increase volatility filter percentage
3. **Adjust Timeframes**: Modify EMA periods for your trading style
4. **Disable Strict Conditions**: Turn off conditions that are too restrictive
#### If Signals Are Too Frequent:
1. **Increase Thresholds**: Raise RSI levels
2. **Add Filters**: Enable more confluence conditions
3. **Stricter Confirmation**: Increase confirmation bars
4. **Higher RR Ratio**: Increase minimum risk:reward requirement
### Step 5: Display Configuration
#### Display Options:
- **Show Buy/Sell Labels**: Toggle signal labels on/off
- **Show Support/Resistance**: Toggle S/R level lines
- **Show Trend EMAs**: Toggle EMA trend lines
### Step 6: Setting Up Alerts
#### Alert Conditions:
- **"Confirmed Buy Signal"**: Triggers on confirmed long entries
- **"Confirmed Sell Signal"**: Triggers on confirmed short entries
#### Alert Message Format:
- Buy: "BUY - RSI: , Price: "
- Sell: "SELL - RSI: , Price: "
## Recommended Settings by Market Type
### Trending Markets:
- Enable: Trend Alignment, RSI, MACD
- Disable: Volume (optional)
- Confirmation Bars: 1-2
### Ranging Markets:
- Enable: RSI, Stochastic, Support/Resistance
- Disable: Trend Alignment
- Confirmation Bars: 0
### Volatile Markets:
- Enable: Volatility Filter, ATR-based stops
- Reduce: RSI thresholds (60/40 instead of 70/30)
- Increase: Confirmation bars to 2-3
## Troubleshooting
### No Signals Appearing:
1. Check if any "Enable X Condition" is turned ON
2. Verify debug plots show activity
3. Reduce parameter thresholds
4. Check if market conditions match your settings
### Too Many False Signals:
1. Enable more confluence conditions
2. Increase confirmation bars
3. Adjust RSI/Stochastic thresholds
4. Enable volatility filter
### Signals Not Aligning with Price Action:
1. Check trend alignment settings
2. Verify EMA periods match your timeframe
3. Adjust Fibonacci lookback period
4. Review support/resistance proximity settings
## Best Practices
1. **Start Conservative**: Begin with fewer confluence factors and gradually add more
2. **Test Thoroughly**: Use demo accounts to test parameter combinations
3. **Monitor Debug Plots**: Regularly check which conditions are failing
4. **Adapt to Market**: Adjust settings based on current market conditions
5. **Use Multiple Timeframes**: Consider higher timeframe trend direction
6. **Risk Management**: Always use proper position sizing and stop losses
## Default Settings Summary
### Trend Analysis:
- Fast EMA: 9
- Slow EMA: 21
- Trend EMA: 50
### Oscillators:
- RSI Period: 14, Overbought: 70, Oversold: 30
- Stochastic K: 14, D: 3, Overbought: 80, Oversold: 20
### MACD:
- Fast: 12, Slow: 26, Signal: 9
### Volume:
- MA Period: 20, Multiplier: 1.5
### Market Structure:
- ATR Period: 14, Multiplier: 2.0
- Volatility Filter: 50.0%
- Pivot Length: 10
### Fibonacci:
- Lookback: 50, Tolerance: 2.0%
### Signal Quality:
- Confirmation Bars: 0
- Min RR Ratio: 1.0
### Display:
- Show Labels: ON
- Show S/R: ON
- Show Trend: ON
### Debug (All Disabled by Default):
- Enable RSI: OFF
- Enable Stochastic: OFF
- Enable MACD: OFF
- Enable Price Structure: OFF
- Enable Trend Alignment: OFF
- Enable Volume: OFF
- Enable Fibonacci: OFF
- Enable Risk:Reward: OFF
- Enable Volatility: OFF
Minimalist Trend & Risk For 5-Min Timeframe
Of course. Here is a professionally written TradingView description for your indicator, following the specified formatting and incorporating the strategy you outlined.
Minimalist Trend & Risk For 5-Min Timeframe
Overview
This is a clean, on-chart visual tool designed to identify high-probability entries and manage risk, specifically tailored for a 5-minute scalping or day trading strategy. It combines a higher-timeframe trend anchor with a current-timeframe trigger line and a volatility-based stop loss level, keeping your chart uncluttered and your decisions clear.
Visual Components
Trend EMA (50-period, 15-min): This is your main trend guide. The thick, colored line represents the 50 EMA from the 15-minute chart.
Green: Confirmed uptrend.
Red: Confirmed downtrend.
Gray: Neutral or consolidating market.
Price EMA (21-period, 5-min): The thin white line is the 21 EMA based on your current chart (5-minute). This acts as a dynamic trigger line that price must reclaim after a pullback.
Stop Loss Zone (ATR-based): The thin red line provides a suggested stop loss level based on current market volatility (ATR). It automatically appears below price in an uptrend and above price in a downtrend, helping you define your risk on every trade.
How To Use for a Long Entry Strategy
The strategy is to trade pullbacks in the direction of the higher-timeframe trend. This indicator helps you visualize each step of the setup.
1. Identify the Trend: Wait for the main Trend EMA (the thick line) to be green. This confirms you are in an established uptrend on the 15-minute timeframe and should only be looking for long entries.
2. Wait for a Pullback: The core of the strategy is patience. Wait for a 5-minute candlestick to pull back and close below the 15-minute Trend EMA. This confirms a temporary dip within the larger uptrend, offering a better entry price.
3. Spot the Entry Trigger: After the pullback, the entry signal occurs when a 5-minute candlestick closes back above the faster, white Price EMA (21-period). This signals that momentum is returning in the direction of the main trend.
4. Manage Your Risk: Use the red Stop Loss Zone line that appears below your entry as a guide to set your initial stop loss. This helps ensure your risk is managed dynamically based on current volatility.
This indicator simplifies a powerful pullback strategy by plotting all the necessary components directly on your chart, allowing for quick and disciplined trade execution.
Iambuoyant High Win Rate TraderIambuoyant High Win Rate Trader (Debug Signals) - Indicator Description
Introduction
The "Iambuoyant High Win Rate Trader" is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities across various market conditions. Built with a multi-faceted approach, it integrates several key technical analysis concepts to provide robust buy and sell signals, aiming to maximize potential returns while managing risk. This indicator is particularly useful for traders looking for confirmed entries based on a confluence of factors rather than relying on a single signal.
Strategies Used
This indicator employs a sophisticated combination of strategies, each contributing to a stronger signal when aligned:
Trend Analysis:
Multiple EMAs: It utilizes three Exponential Moving Averages (EMAs) – a fast, slow, and a longer-term trend EMA – to establish the prevailing market direction. Signals are filtered to align with this identified trend, enhancing their probability of success.
Trend Alignment: Confirms that price action is consistent with the established EMA trend, ensuring trades are taken in the direction of momentum.
Oscillator Confirmation:
Relative Strength Index (RSI): Employs RSI to identify overbought and oversold conditions, with a specific focus on the RSI turning away from extreme levels, suggesting a potential reversal or continuation point.
Stochastic Oscillator: Similar to RSI, the Stochastic Oscillator is used to pinpoint overbought and oversold zones, with additional confirmation from the %K and %D lines crossing or turning.
Momentum and Divergence (MACD):
Moving Average Convergence Divergence (MACD): The indicator analyzes MACD line and signal line crossovers, alongside histogram movement, to gauge momentum shifts and potential trade entries.
Volume Analysis:
Volume Confirmation: Integrates volume analysis by comparing current volume to a Volume Moving Average. Higher-than-average volume during a signal can confirm conviction behind the price move.
Market Structure and Volatility:
Support and Resistance (S/R) Levels: Dynamic support and resistance levels are identified using pivot points. These levels are used to inform potential stop-loss placements and to ensure trades aren't initiated directly into strong opposing S/R zones.
Average True Range (ATR): ATR is used to measure market volatility, which helps in adjusting trade sizing and stop-loss distances. A volatility filter is included to prevent trades in excessively choppy or illiquid conditions.
Risk Management:
Dynamic Stop Loss: The indicator attempts to identify logical stop-loss levels based on recent price action or nearby support/resistance.
Risk:Reward Ratio Filtering: A configurable minimum Risk:Reward ratio ensures that only trades with a favorable potential return relative to the risk are considered, promoting disciplined trading.
Signal Confirmation:
Confirmation Bars: An optional confirmBars input allows for signals to be confirmed over a specified number of bars, reducing false positives by waiting for price action to sustain the initial signal. (Note: For debugging, this is often set to 0 for immediate signals.)
How to Use the Indicator
Add to Chart: Apply the "Iambuoyant High Win Rate Trader (Debug Signals)" indicator to your desired chart in TradingView. It's an overlay indicator, meaning it will plot directly on your price chart.
Understand the Signals:
Buy Signals (Green Triangles/Labels): Appear below the price bars, indicating a potential long entry.
Sell Signals (Red Triangles/Labels): Appear above the price bars, indicating a potential short entry.
"Flash" Signals: Smaller, colored triangles indicate the immediate bar where the signal conditions are first met.
"Confirmed" Signals: Larger, shaded triangles with labels indicate that the signal has passed the confirmBars criteria (if confirmBars is set to greater than 0).
Utilize Debugging Features (Crucial for Optimization):
Access Inputs: Open the indicator's settings by clicking the gear icon next to its name on the chart.
"Signal Components (Debugging)" Section: This is the most powerful feature for tailoring the indicator to your needs.
Initial Setup: When first applying the indicator or if signals are too rare, start by setting most "Enable X Condition" toggles to false, potentially leaving only one or two simple conditions (e.g., "Enable RSI Condition" or "Enable Trend Alignment") as true. This will force signals to appear, allowing you to confirm the plotting mechanism works.
Gradual Re-enabling: Once you see signals, gradually re-enable one "Enable X Condition" at a time.
Observe Debug Plots (Lower Pane): Below your main chart, the indicator plots colored columns (e.g., "Debug: RSI Bull", "Debug: MACD Bear"). These show when each individual component of the long/short signal is true (1 or 2) or false (0 or na). The "Debug: Final Long Signal" and "Debug: Final Short Signal" plots show when the combined signal conditions are met.
Identify Bottlenecks: If signals disappear after enabling a new condition, observe its corresponding debug plot. If it's frequently 0 when other conditions are 1, you've found a bottleneck.
Adjust Parameters: For bottlenecks, go back to the relevant input section (e.g., "Oscillators," "Market Structure," "Signal Quality") and adjust parameters (e.g., rsiOB/rsiOS, stochOB/stochOS, volatilityFilter, minRRRatio) to be less strict until signals appear at your desired frequency. Alternatively, you may decide to leave that specific condition disabled if it's too restrictive for your strategy.
Configure Display Options: Use the "Display" group in the inputs to toggle the visibility of labels, support/resistance lines, and EMA trend lines on your chart.
Set Up Alerts: The indicator includes built-in alert conditions for "Confirmed Buy Signal" and "Confirmed Sell Signal." You can set up alerts in TradingView to be notified instantly when these signals occur, allowing you to monitor the market without constant chart watching.
SNIPERKILLS NQ JULY 18 2025, GAMEPLANNQ GAME PLAN JULY 18, 2025!
✅ Bullish Scenario
Condition: Price breaks and holds above 23,279.75
Targets:
🎯 Target 1: 23,320 — minor imbalance / reaction zone
🎯 Target 2: 23,375 — potential liquidity sweep
🎯 Target 3: 23,420 — psychological level / extended move
Stop Loss: Below 23,234.25 (Short Trigger / invalidation)
❌ Bearish Scenario
Condition: Price breaks and holds below 23,234.25
Targets:
🎯 Target 1: 23,200 — FVG or intraday demand
🎯 Target 2: 23,150 — mid-range flush target
🎯 Target 3: 23,017 — prior day’s low & major liquidity zone
Stop Loss: Above 23,279.75 (Long Trigger / invalidation)
SNIPERKILLS NQ JULY 16 2025, GAMEPLAN📅 NQ Trade Plan: July 16, 2025
Previous Day Stats (July 15):
Open: 23036.50
High: 23222.75
Low: 22996.25
Close: 23056.75
📈 Bullish Scenario
✅ Long Trigger: 23181.50
Reclaiming high-value zone and pushing above PD close + midpoint.
🎯 Targets:
Target 1: 23222.75 → Previous Day High
Target 2: 23242.75 → +20 pts extension above PDH
Target 3: 23278.00 → Potential external liquidity run
🛑 Stop Loss: 23138.00
📉 Bearish Scenario
✅ Short Trigger: 23019.00
Break below PD open + low consolidation zone. Looks to tap sell-side liquidity.
🎯 Targets:
Target 1: 22996.25 → Previous Day Low
Target 2: 22975.00 → FVG fill or inefficiency target
Target 3: 22936.00 → Extended draw on liquidity below PD range
🛑 Stop Loss: 23061.00
거래량 지표 전략 (최종)"Leverage 100x, 10% of capital committed, 0.3% profit target, 0.2% stop loss."
레버리지 100배 이용, 10프로 자본금 투입, 0.3프로 수익 , 0.2프로 손해
"Volume Indicator Strategy (Final)" Summary
This Pine Script strategy is designed to integrate volume data from multiple cryptocurrency exchanges (Binance, Bitget, OKX, Bybit) across spot and futures markets. It then uses this consolidated volume data to identify volume spikes and apply an RSI filter to generate buy/sell signals.
Key Features and Logic:
Multi-Exchange/Asset Volume Consolidation:
Based on user settings, it fetches and sums up spot and perpetual futures volume data from Binance, Bitget, OKX, and Bybit.
It uses the request.security function to query volume data from each specified exchange.
NA (Not Available) data points are safely handled and treated as 0 to prevent calculation errors.
Volume Spike Detection:
It calculates the Simple Moving Average (avg_volume) of the combined_volume over a lookback period (default 70 bars).
A vol_7x condition is met when the combined_volume is equal to or greater than 7 times (vol_multiplier_7x, user-configurable) the avg_volume.
RSI Filter (Optional):
An RSI (Relative Strength Index) filter (enable_rsi_filter, user-configurable) can be applied in conjunction with the volume spike condition.
Short Entry Condition: vol_7x (volume spike) & price_up (current bar's close is higher than the previous close) & RSI is 73 or greater (if filter is enabled).
Long Entry Condition: vol_7x (volume spike) & price_down (current bar's close is lower than the previous close) & RSI is 28 or less (if filter is enabled).
Strategy Entry/Exit:
When entry conditions are met, the strategy enters a position at market price.
It includes a re-entry cooldown period (default 10 bars) to prevent immediate re-entry in the same direction.
Fixed Take Profit and Stop Loss percentages (0.3% Take Profit, 0.2% Stop Loss) are set to manage open positions.
Visualization:
The combined_volume is plotted as columns (plot.style_columns) in a lower pane, changing color when the 7x volume spike condition is met.
The avg_volume is plotted as a line.
Volume values on the plot (and intended for the Y-axis scale) are formatted using format=format.volume to display in K (thousands), M (millions), B (billions) units.
The chart background color changes to indicate RSI overbought (>= 70, red) and oversold (<= 30, blue) zones.
Labels are displayed on the chart for individual trade P/L (Profit/Loss), and an info panel shows the total P/L over a user-defined period.
This strategy aims to capture significant market movements by aggregating volume data across various sources and combining it with price action and momentum (RSI) analysis to generate automated trading signals.
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"거래량 지표 전략 (최종)" 요약
이 전략은 여러 암호화폐 거래소(바이낸스, 비트겟, OKX, 바이비트)의 현물(Spot) 및 선물(Futures) 거래량 데이터를 통합하여 사용하는 것을 핵심으로 합니다. 통합된 거래량 데이터를 바탕으로 거래량 급등을 포착하고 RSI 필터를 적용하여 매수/매도 신호를 생성하는 전략입니다.
주요 기능 및 로직:
다중 거래소/자산 거래량 통합:
사용자 설정에 따라 바이낸스, 비트겟, OKX, 바이비트의 현물 및 선물(무기한) 거래량을 개별적으로 가져와 합산합니다.
request.security 함수를 사용하여 각 거래소의 거래량 데이터를 요청합니다.
데이터가 없는 경우(NA)는 0으로 처리하여 계산 오류를 방지합니다.
거래량 급등 감지:
통합된 거래량(combined_volume)의 lookback 기간(기본 70봉) 이동평균(avg_volume)을 계산합니다.
combined_volume이 avg_volume의 7배(vol_multiplier_7x, 사용자 설정 가능) 이상으로 급등하면 vol_7x 조건을 만족합니다.
RSI 필터 (옵션):
거래량 급등 조건과 함께 RSI(상대 강도 지수) 필터(enable_rsi_filter, 사용자 설정 가능)를 적용할 수 있습니다.
매도(Short) 진입 조건: vol_7x (거래량 급등) & price_up (현재 봉 종가가 이전 봉보다 상승) & RSI가 73 이상일 때.
매수(Long) 진입 조건: vol_7x (거래량 급등) & price_down (현재 봉 종가가 이전 봉보다 하락) & RSI가 28 이하일 때.
전략 진입/청산:
위 진입 조건이 충족되면 시장가로 포지션에 진입합니다.
동일 방향으로 10봉 이내 재진입을 제한합니다.
고정 익절(Take Profit) 및 손절(Stop Loss) 비율(각각 0.3%, 0.2%)을 설정하여 포지션을 관리합니다.
시각화:
통합 거래량(combined_volume)은 차트 하단에 막대그래프(plot.style_columns)로 표시되며, 7배 급등 시 색상이 변경됩니다.
평균 거래량(avg_volume)은 선으로 표시됩니다.
거래량 값은 format=format.volume을 사용하여 K(천), M(백만), B(십억) 단위로 간소화되어 표시됩니다.
차트 배경색으로 RSI 과매수(70 이상, 빨간색) 및 과매도(30 이하, 파란색) 구간을 시각적으로 표시합니다.
개별 거래의 P/L(손익) 라벨과 지정된 기간 동안의 총 P/L을 차트 상단에 표시합니다.
이 전략은 여러 거래소의 거래량 데이터를 취합하여 시장의 전반적인 거래 활동을 파악하고, 이를 바탕으로 특정 패턴(거래량 급등 + 가격 방향 + RSI 필터)에 따라 매매 결정을 내리도록 설계되었습니다.
Risk Distribution HistogramStatistical risk visualization and analysis tool for any ticker 📊
The Risk Distribution Histogram visualizes the statistical distribution of different risk metrics for any financial instrument. It converts risk data into histograms with quartile-based color coding, so that traders can understand their risk, tail-risks, exposure patterns and make data-driven decisions based on empirical evidence rather than assumptions.
The indicator supports multiple risk calculation methods, each designed for different aspects of market analysis, from general volatility assessment to tail risk analysis.
Risk Measurement Methods
Standard Deviation
Captures raw daily price volatility by measuring the dispersion of price movements. Ideal for understanding overall market conditions and timing volatility-based strategies.
Use case: Options trading and volatility analysis.
Average True Range (ATR)
Measures true range as a percentage of price, accounting for gaps and limit moves. Valuable for position sizing across different price levels.
Use case: Position sizing and stop-loss placement.
The chart above illustrates how ATR statistical distribution can be used by looking at the ATR % of price distribution. For example, 90% of the movements are below 5%.
Downside Deviation
Only considers negative price movements, making it ideal for checking downside risk and capital protection rather than capturing upside volatility.
Use case: Downside protection strategies and stop losses.
Drawdown Analysis
Tracks peak-to-trough declines, providing insight into maximum loss potential during different market conditions.
Use case: Risk management and capital preservation.
The chart above illustrates tale risk for the asset (TQQQ), showing that it is possible to have drawdowns higher than 20%.
Entropy-Based Risk (EVaR)
Uses information theory to quantify market uncertainty. Higher entropy values indicate more unpredictable price action, valuable for detecting regime changes.
Use case: Advanced risk modeling and tail-risk.
VIX Histogram
Incorporates the market's fear index directly into analysis, showing how current volatility expectations compare to historical patterns. The CAPITALCOM:VIX histogram is independent from the ticker on the chart.
Use case: Volatility trading and market timing.
Visual Features
The histogram uses quartile-based color coding that immediately shows where current risk levels stand relative to historical patterns:
Green (Q1): Low Risk (0-25th percentile)
Yellow (Q2): Medium-Low Risk (25-50th percentile)
Orange (Q3): Medium-High Risk (50-75th percentile)
Red (Q4): High Risk (75-100th percentile)
The data table provides detailed statistics, including:
Count Distribution: Historical observations in each bin
PMF: Percentage probability for each risk level
CDF: Cumulative probability up to each level
Current Risk Marker: Shows your current position in the distribution
Trading Applications
When current risk falls into upper quartiles (Q3 or Q4), it signals conditions are riskier than 50-75% of historical observations. This guides position sizing and portfolio adjustments.
Key applications:
Position sizing based on empirical risk distributions
Monitoring risk regime changes over time
Comparing risk patterns across timeframes
Risk distribution analysis improves trade timing by identifying when market conditions favor specific strategies.
Enter positions during low-risk periods (Q1)
Reduce exposure in high-risk periods (Q4)
Use percentile rankings for dynamic stop-loss placement
Time volatility strategies using distribution patterns
Detect regime shifts through distribution changes
Compare current conditions to historical benchmarks
Identify outlier events in tail regions
Validate quantitative models with empirical data
Configuration Options
Data Collection
Lookback Period: Control amount of historical data analyzed
Date Range Filtering: Focus on specific market periods
Sample Size Validation: Automatic reliability warnings
Histogram Customization
Bin Count: 10-50 bins for different detail levels
Auto/Manual Bin Width: Optimize for your data range
Visual Preferences: Custom colors and font sizes
Implementation Guide
Start with Standard Deviation on daily charts for the most intuitive introduction to distribution-based risk analysis.
Method Selection: Begin with Standard Deviation
Setup: Use daily charts with 20-30 bins
Interpretation: Focus on quartile transitions as signals
Monitoring: Track distribution changes for regime detection
The tool provides comprehensive statistics including mean, standard deviation, quartiles, and current position metrics like Z-score and percentile ranking.
Enjoy, and please let me know your feedback! 😊🥂
Capital Risk OptimizerCapital Risk Optimizer 🛡️
The Capital Risk Optimizer is an educational tool designed to help traders study capital efficiency, risk management, and scaling strategies when using leverage.
This script calculates and visualizes essential metrics for managing leveraged positions, including:
Entry Price – The current market price.
Stop Loss Level – Automatically derived using the 30-bar lowest low minus 1 ATR (default: 14-period ATR), an approach designed to create a dynamic, volatility-adjusted stop loss.
Stop Loss Distance (%) – The percentage distance between entry and stop.
Maximum Safe Leverage – The highest leverage allowable without risking liquidation before your stop is reached.
Margin Required – The amount of collateral necessary to support the desired position size at the calculated leverage.
Position Size – The configurable notional value of your trade.
These outputs are presented in a clean, customizable table overlay so you can quickly understand how position sizing, volatility, and leverage interact.
By default, the script uses a 14-period ATR combined with the lowest low of the past 30 bars, providing an optimal balance between sensitivity and noise for defining stop placement. This methodology helps traders account for market volatility in a systematic way.
The Capital Risk Optimizer is particularly useful as a portfolio management tool, supporting traders who want to study how to scale into positions using risk-adjusted sizing and capital efficiency principles. It pairs best with backtested strategies, and does not directly produce signals of any kind.
How to Use:
Set your desired position size.
Adjust the ATR and lookback settings to fine-tune stop loss placement.
Study the resulting leverage and margin requirements in real time.
Use this information to simulate and visualize potential trade scenarios and capital allocation models.
Disclaimer:
This script is provided for educational and informational purposes only. It does not constitute financial advice and should not be relied upon for live trading decisions. Always do your own research and consult with a qualified professional before making any trading or investment decisions.