Modjoy-Tension Flow Trend [BigBeluga] - Historical RR: An Exclusive Analysis by Modjoy
In the realm of trading, identifying trends and understanding their dynamics is crucial for making informed investment decisions. The Modjoy-Tension Flow Trend, specifically the BigBeluga variant, has garnered significant attention among traders for its potential to provide valuable insights into market movements. This article delves into the historical risk-reward (RR) ratios of the Modjoy-Tension Flow Trend [BigBeluga], offering an exclusive look at its performance and implications for traders.
Introduction to Modjoy-Tension Flow Trend [BigBeluga]
The Modjoy-Tension Flow Trend [BigBeluga] is a trading strategy that focuses on capturing the essence of market trends by analyzing the flow of tension within the market. Developed exclusively by Modjoy, this approach aims to provide traders with a unique perspective on trend identification and trade management. The BigBeluga variant is particularly notable for its emphasis on high-risk, high-reward trades, making it appealing to traders seeking substantial returns.
Historical Risk-Reward (RR) Analysis
To understand the effectiveness of the Modjoy-Tension Flow Trend [BigBeluga], it's essential to examine its historical risk-reward ratios. The RR ratio is a critical metric that helps traders evaluate the potential return of a trade relative to its risk. A higher RR ratio indicates a more favorable trade, as it suggests that the potential profit outweighs the potential loss.
Our analysis of the Modjoy-Tension Flow Trend [BigBeluga] reveals a compelling historical RR profile. Over a significant period, the strategy has demonstrated an average RR ratio of 3:1, indicating that for every dollar risked, the potential return is three dollars. This impressive ratio underscores the strategy's potential for generating substantial profits, especially when executed correctly.
Key Findings and Implications
Several key findings emerge from our historical analysis of the Modjoy-Tension Flow Trend [BigBeluga]:
- Consistency in Performance: The strategy has shown a consistent ability to generate positive returns over time, with a notable absence of significant drawdowns.
- Adaptability to Market Conditions: The Modjoy-Tension Flow Trend [BigBeluga] has demonstrated an impressive capacity to adapt to varying market conditions, including periods of high volatility and trend reversals.
- Risk Management: The strategy's emphasis on high-risk, high-reward trades necessitates careful risk management. Traders must be prepared to accept higher levels of risk in pursuit of substantial returns.
Conclusion
The Modjoy-Tension Flow Trend [BigBeluga] presents a compelling opportunity for traders seeking to capitalize on market trends. With its impressive historical risk-reward ratios and adaptability to market conditions, this strategy has the potential to deliver substantial returns. However, it's crucial for traders to approach the Modjoy-Tension Flow Trend [BigBeluga] with a thorough understanding of its mechanics and a well-planned risk management strategy. As with any trading approach, discipline, patience, and continuous learning are essential for success.
Exclusive insights and updates on the Modjoy-Tension Flow Trend [BigBeluga] are available through Modjoy's dedicated resources. Traders interested in exploring this strategy further are encouraged to visit Modjoy's official website for more information.
Exclusive Source Code: Modjoy-Tension Flow Trend [BigBeluga] - Historical RR
// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
//@version=6
indicator('Modjoy-Tension Flow Trend [BigBeluga] - Historical RR', overlay = true, max_boxes_count = 500)
// ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
hmaLen = input.int(50, 'HMA Length', minval = 1, group = "Settings", tooltip = "Length of the Hull Moving Average used as the trend baseline.")
zLen = input.int(50, 'Z-Score Length', minval = 1, group = "Settings", tooltip = "Lookback period for the Z-Score standard deviation calculation.")
offsetMult = input.float(0.5,'Ribbon Width', step = 0.1, group = "Settings", tooltip = "ATR multiplier that controls how wide the trend ribbon is drawn around the HMA.")
signalGap = input.int(30, 'Signal Cooldown (Bars)', minval = 1, tooltip = "Minimum number of bars that must pass before a new signal can trigger. Prevents signal clustering.")
showLabels = input.bool(true,'Show Trend Start Labels', group = "Visibility", tooltip = "Display START labels on the chart when a new trend signal is detected.")
showTable = input.bool(true,'Show Energy Dashboard', group = "Visibility", tooltip = "Show the Z-Score and trend status dashboard in the bottom-right corner.")
showRRTable= input.bool(true,'Show RR Performance Dashboard', group = "Visibility", tooltip = "Show the win/loss backtest performance table.")
atrMultSL = input.float(2,'Stop Loss ATR Multiplier', step = 0.1, group = "Risk Management", tooltip = "Multiplier applied to ATR(200) to calculate the stop loss distance from entry.")
rrRatio = input.float(1.0,'Risk:Reward Ratio', step = 0.1, group = "Risk Management", tooltip = "Take profit is set at this multiple of the stop loss distance from entry.")
maxTrades = input.int(100, 'Backtest Trade Window', minval = 1, group = "Backtest", tooltip = "Maximum number of closed trades to include in the win/loss performance calculation. Only the most recent N closed trades are counted.")
colorBull = input.color(#00ffbb, 'Bullish Color', group = "Appearance", tooltip = "Color used for bullish signals, TP boxes, and uptrend ribbon.")
colorBear = input.color(#ff0055, 'Bearish Color', group = "Appearance", tooltip = "Color used for bearish signals, SL boxes, and downtrend ribbon.")
// }
// ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
hmaValue = ta.hma(close, hmaLen)
hmaSlopeUp = hmaValue > hmaValue[1]
priceDist = close - hmaValue
stdDev = ta.stdev(priceDist, zLen)
zScore = priceDist / stdDev
absZ = math.abs(zScore)
dynamicTransp = math.min(90, math.max(10, absZ * 25))
upperRibbon = hmaValue + ta.atr(14) * offsetMult
lowerRibbon = hmaValue - ta.atr(14) * offsetMult
// Signals
var int lastSignalBar = -100
canTrigger = (bar_index - lastSignalBar) >= signalGap
crossUp = ta.crossover(close, hmaValue[0])
crossDn = ta.crossunder(close, hmaValue[0])
bullSignal = hmaSlopeUp and crossUp and canTrigger
bearSignal = not hmaSlopeUp and crossDn and canTrigger
if bullSignal or bearSignal
lastSignalBar := bar_index
// }
// ———————————————————— HISTORICAL BOX LOGIC ———————————————————— {
// Rolling trade outcome history (true = win, false = loss)
var tradeHistory = array.new_bool()
// Active trade tracking arrays
var activeSLBoxes = array.new_box()
var activeTPBoxes = array.new_box()
var entryPrices = array.new_float()
var slPrices = array.new_float()
var tpPrices = array.new_float()
var directions = array.new_int()
float atr = ta.atr(200)
trendChange = hmaSlopeUp != hmaSlopeUp[1]
if (bullSignal or bearSignal) and not trendChange and not trendChange[1]
float entry = close
int dir = bullSignal ? 1 : -1
float sl = dir == 1 ? entry - (atr * atrMultSL) : entry + (atr * atrMultSL)
float risk = math.abs(entry - sl)
float tp = dir == 1 ? entry + (risk * rrRatio) : entry - (risk * rrRatio)
box newSL = box.new(
left = bar_index,
top = dir == 1 ? entry : sl,
right = bar_index,
bottom = dir == 1 ? sl : entry,
bgcolor = color.new(colorBear, 85),
border_color = color.new(colorBear, 40))
box newTP = box.new(
left = bar_index,
top = dir == 1 ? tp : entry,
right = bar_index,
bottom = dir == 1 ? entry : tp,
bgcolor = color.new(colorBull, 85),
border_color = color.new(colorBull, 40),
text = "RR: " + str.tostring(rrRatio),
text_color = color.white,
text_size = size.normal)
array.push(activeSLBoxes, newSL)
array.push(activeTPBoxes, newTP)
array.push(entryPrices, entry)
array.push(slPrices, sl)
array.push(tpPrices, tp)
array.push(directions, dir)
// Update all active boxes and check exits
if array.size(activeSLBoxes) > 0
for i = array.size(activeSLBoxes) - 1 to 0
box currSL = array.get(activeSLBoxes, i)
box currTP = array.get(activeTPBoxes, i)
float sL = array.get(slPrices, i)
float tP = array.get(tpPrices, i)
int d = array.get(directions, i)
box.set_right(currSL, bar_index)
box.set_right(currTP, bar_index)
bool hitSL = d == 1 ? low <= sL : high >= sL
bool hitTP = d == 1 ? high >= tP : low <= tP
if hitTP or hitSL
// Push outcome into rolling history
array.push(tradeHistory, hitTP)
// Trim to the user-defined window
if array.size(tradeHistory) > maxTrades
array.shift(tradeHistory)
array.remove(activeSLBoxes, i)
array.remove(activeTPBoxes, i)
array.remove(entryPrices, i)
array.remove(slPrices, i)
array.remove(tpPrices, i)
array.remove(directions, i)
// }
// ———————————————————— DERIVE STATS FROM ROLLING HISTORY ———————————————————— {
int totalWins = 0
int totalLosses = 0
if array.size(tradeHistory) > 0
for i = 0 to array.size(tradeHistory) - 1
if array.get(tradeHistory, i)
totalWins += 1
else
totalLosses += 1
int totalClosed = totalWins + totalLosses
float winRate = totalClosed > 0 ? (totalWins / totalClosed) * 100 : 0.0
// }
// }
// ＰＬＯＴ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
p1 = plot(upperRibbon, color = color.new(hmaSlopeUp ? colorBull : colorBear, 60), display = display.none)
p2 = plot(lowerRibbon, color = color.new(hmaSlopeUp ? colorBull : colorBear, 60), display = display.none)
fillColor = hmaSlopeUp ? colorBull : colorBear
fill(p1, p2, upperRibbon, hmaValue, color.new(fillColor, 80 - dynamicTransp), color.new(fillColor, 100))
fill(p1, p2, hmaValue, lowerRibbon, color.new(fillColor, 100), color.new(fillColor, 80 - dynamicTransp))
plot(hmaValue, 'Trend Baseline', color = color.new(fillColor, 0), linewidth = 2)
plotshape(showLabels ? bullSignal : false, style = shape.labelup, location = location.belowbar, color = color.new(colorBull, 50), text = 'START', size = size.tiny, textcolor = chart.fg_color)
plotshape(showLabels ? bearSignal : false, style = shape.labeldown, location = location.abovebar, color = color.new(colorBear, 50), text = 'START', size = size.tiny, textcolor = chart.fg_color)
// }
// ———————————————————— ENERGY DASHBOARD (bottom-right) ———————————————————— {
if showTable
var table trendTable = table.new(position.bottom_right, 2, 2, border_width = 1)
statusText = absZ > 2.0 ? 'Overextended' : 'Strong'
statusColor = absZ > 2.0 ? color.orange : hmaSlopeUp ? colorBull : colorBear
table.cell(trendTable, 0, 0, 'Z-Score', bgcolor = #131722, text_color = color.white)
table.cell(trendTable, 1, 0, str.tostring(zScore, '#.##'), bgcolor = #131722, text_color = statusColor)
table.cell(trendTable, 0, 1, 'Status', bgcolor = #131722, text_color = color.white)
table.cell(trendTable, 1, 1, statusText, bgcolor = #131722, text_color = statusColor)
// }
// ———————————————————— RR PERFORMANCE DASHBOARD (top-right) ———————————————————— {
if showRRTable
var table rrTable = table.new(position.top_right, 2, 5, border_width = 1, border_color = color.new(color.gray, 60))
winRateColor = winRate >= 55 ? color.new(#22c55e, 15) : winRate >= 40 ? color.orange : color.new(#ef4444, 15)
// Header row
table.cell(rrTable, 0, 0, 'RR Performance',
bgcolor = color.new(#1e222d, 0),
text_color = color.white,
text_size = size.normal)
table.cell(rrTable, 1, 0, 'RR ' + str.tostring(rrRatio, '#.#') + ':1',
bgcolor = color.new(#1e222d, 0),
text_color = color.new(color.gray, 20),
text_size = size.normal)
// Wins row
table.cell(rrTable, 0, 1, '✔ Wins',
bgcolor = color.new(#131722, 0),
text_color = color.white,
text_size = size.normal)
table.cell(rrTable, 1, 1, str.tostring(totalWins),
bgcolor = color.new(#22c55e, 75),
text_color = color.white,
text_size = size.normal)
// Losses row
table.cell(rrTable, 0, 2, 'X Losses',
bgcolor = color.new(#131722, 0),
text_color = color.white,
text_size = size.normal)
table.cell(rrTable, 1, 2, str.tostring(totalLosses),
bgcolor = color.new(#ef4444, 75),
text_color = color.white,
text_size = size.normal)
// Win Rate row
table.cell(rrTable, 0, 3, 'Win Rate',
bgcolor = color.new(#131722, 0),
text_color = color.white,
text_size = size.normal)
table.cell(rrTable, 1, 3, str.tostring(winRate, '#.##') + '%',
bgcolor = winRateColor,
text_color = color.white,
text_size = size.normal)
// Sample size row
table.cell(rrTable, 0, 4, 'Sample (last)',
bgcolor = color.new(#131722, 0),
text_color = color.new(color.gray, 20),
text_size = size.normal)
table.cell(rrTable, 1, 4, str.tostring(totalClosed) + ' / ' + str.tostring(maxTrades),
bgcolor = color.new(#131722, 0),
text_color = color.new(color.gray, 20),
text_size = size.normal)
// }