
この戦略は,価格内の注文ブロックを識別して,突破力の価格区間を探し,買入シグナルが発生したときに市場に入ります. 注文ブロックは,機関が関与する領域をマークし,市場のより大きな力の表現です. したがって,注文ブロックシグナルが発生したときに,傾向的な価格変動が発生する可能性が高いです.
注文ブロックは,多頭注文ブロックと空頭注文ブロックの2種類に分かれます. 多頭注文ブロックは,K線下 (赤K線) の後にK線上 (緑K線) の後に多頭注文ブロックと定義されます. 空頭注文ブロックは,K線上 (緑K線) の後にK線下 (赤K線) の後にK線上 (緑K線) の後に多頭注文ブロックと定義されます.
注文ブロックを識別するには,以下の条件を同時に満たす必要があります.
K線の色が変化する:上のK線から現在のK線にK線の色が変化する (例えば,赤から緑に,または緑から赤に).これは,新しいトレンドを始める準備が整う前に,組織が終了するかもしれない傾向を示している.
後続のK線は色方向一致:パラメータperiodsで指定された根数に達した後,後続のK線は同じ色方向を維持する (例えば,多頭注文ブロックの後ろのすべては緑のK線である).これは,新しい傾向が強化され,確認されたことを示している.
値を超えた値: 注文ブロックの開値からKラインの閉値までの値が,パラメータのthresholdの設定 ((デフォルト0)) を超える.これは,新しいトレンドが十分な強さと影響力を確保する.
上記の3つの条件が同時に満たされると,注文ブロックの信号を認識することが確認できる.
多頭注文ブロックを識別すると,買取信号を生じ; 空頭注文ブロックを識別すると,売り込み信号を生じ.
注文ブロック信号の不確実性と再テストの可能性を考慮して,戦略は注文ブロック信号が現れたときに直接市場に出入するのではなく,図線,アラームなどの方法でトレーダーに注意を喚起する.トレーダーは,注文ブロック価格エリアの近くに適切な制限価格を配置し,価格が触発された後にトレンドに入るのを待つことができます.
オーダーブロックは,機関資金と大量取引量の関与を象徴し,市場勢力の転換を代表する.したがって,オーダーブロックシグナルには一定の予測性と正確性があり,潜在的な突破方向を事前に捉えることができる.これは,トレンドに乗るのに有利な位置づけとタイミングを提供する.
戦略のパラメータは,歴史のK線数,突破力の幅など,パラメータによって調整され,異なる市場環境とトレーダーのスタイルに最適化され,戦略の適応性を向上させることができます.
戦略は,注文ブロックの信号が現れたときに実際に市場に出入するのではなく,アラームを設定し,オフラインの制限価格の方法によってポジションを構築する.この方法は,トレーダーが特定の入場ポイントとリスクをコントロールできるようにする.注文ブロックの信号が誤って判断されても,制限価格の指示が触発されないことにつながり,リスクは制御可能である.
注文ブロックは区間を標識するので,その後の価格が再びその区間を回調する確率は高い.したがって,注文ブロックの信号は標準の入場信号として使用されず,予警情報として使用され,入場タイミングをトレーダー自身でさらに判断する必要があります.
注文ブロックのパラメータ設定 (歴史K線数,幅の値など) が不適切であれば,通常のサイドウェイズ区間で偽信号が生じる可能性があります.これは,トレーダーが市場に対して一定の感受性と判断力を必要とし,パラメータの盲目最適化を避ける必要があります.
オーダーブロックの信号は100%信頼できないため,信号を入手する際にトレーダーは,現在の信号の信頼性を判断するためにさらに分析する必要があります.これは一定の人工作業を増加させます.信号の質に対する異なる判断は,取引のパフォーマンスの違いにもつながる可能性があります.
注文ブロックの信号が表示されたとき,他の指標と組み合わせてトレンドの方向と強さを判断することができます.例えば,MACD,RSIなどと組み合わせて,パラメータ設定による誤った信号をフィルタリングし,信号の正確性を向上させます.
異なる市場と異なる取引品種は,K線数,値の値などのパラメータをテストし,最適化して,現在の市場環境に適合させることができます.また,パラメータの自律的適応機能を設定して,市場の波動性やリスク好みに応じて自動的に調整することができます.
現在,戦略は信号提示ツールとしてのみ使用され,トレーダーは自己判断で入場時間を判断する必要があります.我々は,注文ブロックの価格区間を対象に自動注文機構を開発し,一定の条件を満たしたときに自動的に入場します.そして,停止などの方法と組み合わせて,退出論理を設定し,人工判断の要求を軽減し,戦略の自動化程度を高めます.
この戦略は,注文流量集中的価格区間を効果的に識別し,市場に隠された動力の情報を掘り出し,トレンドに乗る価格突破に有利な位置付けと把握の機会を提供します. 単純にトレンドを追跡する方法と比較して,注文ブロック戦略は一定の頭部識別能力と主動性を持っています. 参数最適化,風力制御方法と組み合わせて使用すると,効果的なトレンド戦略になることができます. しかし,トレーダーは誤った信号の発生に警戒し,信号の品質について判断する必要があります.
/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-31 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © TradingSecrets and wugamlo
// This experimental Indicator helps identifying instituational Order Blocks.
// Often these blocks signal the beginning of a strong move, but there is a significant probability that these price levels will be revisited at a later point in time again.
// Therefore these are interesting levels to place limit orders (Buy Orders for Bullish OB / Sell Orders for Bearish OB).
//
// A Bullish Order block is defined as the last down candle before a sequence of up candles. (Relevant price range "Open" to "Low" is marked) / Optionally full range "High" to "Low"
// A Bearish Order Block is defined as the last up candle before a sequence of down candles. (Relevant price range "Open" to "High" is marked) / Optionally full range "High" to "Low"
//
// In the settings the number of required sequential candles can be adjusted.
// Furthermore a %-threshold can be entered. It defines which %-change the sequential move needs to achieve in order to identify a relevant Order Block.
// Channels for the last Bullish/Bearish Block can be shown/hidden.
//
// In addition to the upper/lower limits of each Order Block, also the equlibrium (average value) is marked as this is an interesting area for price interaction.
//
// Alerts added: Alerts fire when an Order Block is detected. The delay is based on the "Relevant Periods" input. Means with the default setting "5" the alert will trigger after the
// number of consecutive candles is reached.
//@version=4
strategy("[Backtest] Order Block Finder", overlay = true)
colors = input(title = "Color Scheme", defval="DARK", options=["DARK", "BRIGHT"])
periods = input(5, "Relevant Periods to identify OB") // Required number of subsequent candles in the same direction to identify Order Block
threshold = input(0.0, "Min. Percent move to identify OB", step = 0.1) // Required minimum % move (from potential OB close to last subsequent candle to identify Order Block)
usewicks = input(false, "Use whole range [High/Low] for OB marking?" ) // Display High/Low range for each OB instead of Open/Low for Bullish / Open/High for Bearish
showbull = input(false, "Show latest Bullish Channel?") // Show Channel for latest Bullish OB?
showbear = input(false, "Show latest Bearish Channel?") // Show Channel for latest Bearish OB?
showdocu = input(false, "Show Label for documentation tooltip?") // Show Label which shows documentation as tooltip?
info_pan = input(false, "Show Latest OB Panel?") // Show Info Panel with latest OB Stats
//strategy inputs
plot_offset = input( type=input.bool,defval = false, title = 'Plot Offset?')
stoploss_percent = input(type=input.float, defval = 1, title = 'Stop Loss [%]')
takeprofit_percent = input(type=input.float, defval = 2, title = 'Take Profit [%]')
pyramiding = input( type=input.bool,defval = true, title = 'Pyramiding')
ob_period = periods + 1 // Identify location of relevant Order Block candle
absmove = ((abs(close[ob_period] - close[1]))/close[ob_period]) * 100 // Calculate absolute percent move from potential OB to last candle of subsequent candles
relmove = absmove >= threshold // Identify "Relevant move" by comparing the absolute move to the threshold
// Color Scheme
bullcolor = colors == "DARK"? color.white : color.green
bearcolor = colors == "DARK"? color.blue : color.red
// Bullish Order Block Identification
bullishOB = close[ob_period] < open[ob_period] // Determine potential Bullish OB candle (red candle)
int upcandles = 0
for i = 1 to periods
upcandles := upcandles + (close[i] > open[i]? 1 : 0) // Determine color of subsequent candles (must all be green to identify a valid Bearish OB)
OB_bull = bullishOB and (upcandles == (periods)) and relmove // Identification logic (red OB candle & subsequent green candles)
OB_bull_high = OB_bull? usewicks? high[ob_period] : open[ob_period] : na // Determine OB upper limit (Open or High depending on input)
OB_bull_low = OB_bull? low[ob_period] : na // Determine OB lower limit (Low)
OB_bull_avg = (OB_bull_high + OB_bull_low)/2 // Determine OB middle line
// Bearish Order Block Identification
bearishOB = close[ob_period] > open[ob_period] // Determine potential Bearish OB candle (green candle)
int downcandles = 0
for i = 1 to periods
downcandles := downcandles + (close[i] < open[i]? 1 : 0) // Determine color of subsequent candles (must all be red to identify a valid Bearish OB)
OB_bear = bearishOB and (downcandles == (periods)) and relmove // Identification logic (green OB candle & subsequent green candles)
OB_bear_high = OB_bear? high[ob_period] : na // Determine OB upper limit (High)
OB_bear_low = OB_bear? usewicks? low[ob_period] : open[ob_period] : na // Determine OB lower limit (Open or Low depending on input)
OB_bear_avg = (OB_bear_low + OB_bear_high)/2 // Determine OB middle line
//@TradingSecrets: Option to disable the offset in order to allign signals with Backtest
if not plot_offset
ob_period := 0
// Plotting
plotshape(OB_bull, title="Bullish OB", style = shape.triangleup, color = bullcolor, textcolor = bullcolor, size = size.tiny, location = location.belowbar, offset = -ob_period, text = "Bullish OB") // Bullish OB Indicator
bull1 = plot(OB_bull_high, title="Bullish OB High", style = plot.style_linebr, color = bullcolor, offset = -ob_period, linewidth = 3) // Bullish OB Upper Limit
bull2 = plot(OB_bull_low, title="Bullish OB Low", style = plot.style_linebr, color = bullcolor, offset = -ob_period, linewidth = 3) // Bullish OB Lower Limit
fill(bull1, bull2, color=bullcolor, transp = 0, title = "Bullish OB fill") // Fill Bullish OB
plotshape(OB_bull_avg, title="Bullish OB Average", style = shape.cross, color = bullcolor, size = size.normal, location = location.absolute, offset = -ob_period) // Bullish OB Average
plotshape(OB_bear, title="Bearish OB", style = shape.triangledown, color = bearcolor, textcolor = bearcolor, size = size.tiny, location = location.abovebar, offset = -ob_period, text = "Bearish OB") // Bearish OB Indicator
bear1 = plot(OB_bear_low, title="Bearish OB Low", style = plot.style_linebr, color = bearcolor, offset = -ob_period, linewidth = 3) // Bearish OB Lower Limit
bear2 = plot(OB_bear_high, title="Bearish OB High", style = plot.style_linebr, color = bearcolor, offset = -ob_period, linewidth = 3) // Bearish OB Upper Limit
fill(bear1, bear2, color=bearcolor, transp = 0, title = "Bearish OB fill") // Fill Bearish OB
plotshape(OB_bear_avg, title="Bearish OB Average", style = shape.cross, color = bearcolor, size = size.normal, location = location.absolute, offset = -ob_period) // Bullish OB Average
var line linebull1 = na // Bullish OB average
var line linebull2 = na // Bullish OB open
var line linebull3 = na // Bullish OB low
var line linebear1 = na // Bearish OB average
var line linebear2 = na // Bearish OB high
var line linebear3 = na // Bearish OB open
if OB_bull and showbull
line.delete(linebull1)
linebull1 := line.new(x1 = bar_index, y1 = OB_bull_avg, x2 = bar_index - 1, y2 = OB_bull_avg, extend = extend.left, color = bullcolor, style = line.style_solid, width = 1)
line.delete(linebull2)
linebull2 := line.new(x1 = bar_index, y1 = OB_bull_high, x2 = bar_index - 1, y2 = OB_bull_high, extend = extend.left, color = bullcolor, style = line.style_dashed, width = 1)
line.delete(linebull3)
linebull3 := line.new(x1 = bar_index, y1 = OB_bull_low, x2 = bar_index - 1, y2 = OB_bull_low, extend = extend.left, color = bullcolor, style = line.style_dashed, width = 1)
if OB_bear and showbear
line.delete(linebear1)
linebear1 := line.new(x1 = bar_index, y1 = OB_bear_avg, x2 = bar_index - 1, y2 = OB_bear_avg, extend = extend.left, color = bearcolor, style = line.style_solid, width = 1)
line.delete(linebear2)
linebear2 := line.new(x1 = bar_index, y1 = OB_bear_high, x2 = bar_index - 1, y2 = OB_bear_high, extend = extend.left, color = bearcolor, style = line.style_dashed, width = 1)
line.delete(linebear3)
linebear3 := line.new(x1 = bar_index, y1 = OB_bear_low, x2 = bar_index - 1, y2 = OB_bear_low, extend = extend.left, color = bearcolor, style = line.style_dashed, width = 1)
// Alerts for Order Blocks Detection
alertcondition(OB_bull, title='New Bullish OB detected', message='New Bullish OB detected - This is NOT a BUY signal!')
alertcondition(OB_bear, title='New Bearish OB detected', message='New Bearish OB detected - This is NOT a SELL signal!')
// Print latest Order Blocks in Data Window
var latest_bull_high = 0.0 // Variable to keep latest Bull OB high
var latest_bull_avg = 0.0 // Variable to keep latest Bull OB average
var latest_bull_low = 0.0 // Variable to keep latest Bull OB low
var latest_bear_high = 0.0 // Variable to keep latest Bear OB high
var latest_bear_avg = 0.0 // Variable to keep latest Bear OB average
var latest_bear_low = 0.0 // Variable to keep latest Bear OB low
// Assign latest values to variables
if OB_bull_high > 0
latest_bull_high := OB_bull_high
if OB_bull_avg > 0
latest_bull_avg := OB_bull_avg
if OB_bull_low > 0
latest_bull_low := OB_bull_low
if OB_bear_high > 0
latest_bear_high := OB_bear_high
if OB_bear_avg > 0
latest_bear_avg := OB_bear_avg
if OB_bear_low > 0
latest_bear_low := OB_bear_low
// Plot invisible characters to be able to show the values in the Data Window
plotchar(latest_bull_high, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bull High")
plotchar(latest_bull_avg, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bull Avg")
plotchar(latest_bull_low, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bull Low")
plotchar(latest_bear_high, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bear High")
plotchar(latest_bear_avg, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bear Avg")
plotchar(latest_bear_low, char = ' ', location = location.abovebar, color = #777777, transp = 100, size = size.tiny, title = "Latest Bear Low")
//InfoPanel for latest Order Blocks
draw_InfoPanel(_text, _x, _y, font_size)=>
var label la_panel = na
label.delete(la_panel)
la_panel := label.new(
x=_x, y=_y,
text=_text, xloc=xloc.bar_time, yloc=yloc.price,
color=color.new(#383838, 5), style=label.style_label_left, textcolor=color.white, size=font_size)
info_panel_x = time_close + round(change(time) * 100)
info_panel_y = close
title = "LATEST ORDER BLOCKS"
row0 = "-----------------------------------------------------"
row1 = ' Bullish - High: ' + tostring(latest_bull_high, '#.##')
row2 = ' Bullish - Avg: ' + tostring(latest_bull_avg, '#.##')
row3 = ' Bullish - Low: ' + tostring(latest_bull_low, '#.##')
row4 = "-----------------------------------------------------"
row5 = ' Bearish - High: ' + tostring(latest_bear_high, '#.##')
row6 = ' Bearish - Avg: ' + tostring(latest_bear_avg, '#.##')
row7 = ' Bearish - Low: ' + tostring(latest_bear_low, '#.##')
panel_text = '\n' + title + '\n' + row0 + '\n' + row1 + '\n' + row2 + '\n' + row3 + '\n' + row4 + '\n\n' + row5 + '\n' + row6 + '\n' + row7 + '\n'
if info_pan
draw_InfoPanel(panel_text, info_panel_x, info_panel_y, size.normal)
// === Label for Documentation/Tooltip ===
chper = time - time[1]
chper := change(chper) > 0 ? chper[1] : chper
// === Tooltip text ===
var vartooltip = "Indicator to help identifying instituational Order Blocks. Often these blocks signal the beginning of a strong move, but there is a high probability, that these prices will be revisited at a later point in time again and therefore are interesting levels to place limit orders. \nBullish Order block is the last down candle before a sequence of up candles. \nBearish Order Block is the last up candle before a sequence of down candles. \nIn the settings the number of required sequential candles can be adjusted. \nFurthermore a %-threshold can be entered which the sequential move needs to achieve in order to validate a relevant Order Block. \nChannels for the last Bullish/Bearish Block can be shown/hidden."
// === Print Label ===
var label l_docu = na
label.delete(l_docu)
if showdocu
l_docu := label.new(x = time + chper * 35, y = close, text = "DOCU OB", color=color.gray, textcolor=color.white, style=label.style_label_center, xloc = xloc.bar_time, yloc=yloc.price, size=size.tiny, textalign = text.align_left, tooltip = vartooltip)
// @TradingSecrets: Generate entry and exit orders based on the signals
entryLongSignal = OB_bull
entryShortSignal = OB_bear
if not pyramiding
entryLongSignal := entryLongSignal and not strategy.position_size
entryShortSignal := entryShortSignal and not strategy.position_size
if entryLongSignal
strategy.entry("Long Entry", strategy.long)
//strategy.exit("Long Exit Loss", "Long Entry", stop = close * (1 - stoploss_percent*0.01))
if entryShortSignal
strategy.entry("Short Entry", strategy.short)
//strategy.exit("Short Exit Loss", "Short Entry", stop = close * (1 + stoploss_percent*0.01))
strategy.initial_capital = 50000
//Close Position by market order
if strategy.position_size > 0 and strategy.openprofit/nz(strategy.initial_capital + strategy.netprofit) >= takeprofit_percent*0.01
//If I m in a long position and my take profit got hit close it by market order
strategy.close("Long Entry", comment = "Long Exit Profit")
if strategy.position_size < 0 and strategy.openprofit/nz(strategy.initial_capital + strategy.netprofit) >= takeprofit_percent*0.01
strategy.close("Short Entry", comment = "Short Exit Profit")
if strategy.position_size > 0 and strategy.openprofit/nz(strategy.initial_capital + strategy.netprofit) <= -stoploss_percent*0.01
//If I m in a long position and my take profit got hit close it by market order
strategy.close("Long Entry", comment = "Long Exit Loss")
if strategy.position_size < 0 and strategy.openprofit/nz(strategy.initial_capital + strategy.netprofit) <= -stoploss_percent*0.01
strategy.close("Short Entry", comment = "Short Exit Loss")