
یہ ایک جدید مقداری تجارتی حکمت عملی ہے جو تاجروں کو ایک منظم تجارتی طریقہ فراہم کرتی ہے جس میں لیکویڈیٹی زون میں داخلے ، اے ٹی آر میں اتار چڑھاؤ کی کمی اور متحرک خطرے کے انتظام کو مربوط کیا جاتا ہے۔ یہ حکمت عملی متعدد تکنیکی تجزیاتی اشارے کو یکجا کرتی ہے جس کا مقصد اعلی امکانات والے تجارتی مواقع کی نشاندہی کرنا ہے اور خود بخود اسٹاپ اور اسٹاپ نقصان کی سطح کا حساب لگانا ہے۔
اس حکمت عملی کے بنیادی اصول مندرجہ ذیل اہم عناصر پر مبنی ہیں:
تھنک ٹیک اے آئی ٹریڈنگ اسٹریٹجی تاجروں کو جدید کثیر عنصر کے طریقہ کار کے ذریعہ ایک طاقتور مقداری ٹریڈنگ کا آلہ فراہم کرتی ہے۔ حکمت عملی کا مقصد اعلی معیار کے تجارتی مواقع کی نشاندہی کرنا ہے ، جس میں لیکویڈیٹی تجزیہ ، اتار چڑھاؤ کی شرح فلٹرنگ اور متحرک رسک مینجمنٹ کا استعمال کیا گیا ہے۔ تاہم ، حکمت عملی کی مکمل صلاحیت کو پورا کرنے کے لئے تاجروں کو مسلسل پیمائش ، اصلاح اور محتاط اطلاق کی ضرورت ہے۔
/*backtest
start: 2025-01-01 00:00:00
end: 2025-03-30 00:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"ETH_USDT"}]
*/
if high > ta.highest(high[1], 5)
strategy.entry("Enter Long", strategy.long)
else if low < ta.lowest(low[1], 5)
strategy.entry("Enter Short", strategy.short)//@version=6
strategy("ThinkTech AI Signals", overlay=true, initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
//──────────────────────────────
// Input Settings
//──────────────────────────────
riskRewardRatio = input.float(title="Risk/Reward Ratio", defval=2.0, minval=1.0, step=0.1)
// Inputs from second script
liquidity_period = input.int(20, title="Liquidity Base Period")
atr_length = input.int(14, title="ATR Length")
atr_threshold = input.float(0.3, title="ATR Breakout Threshold")
take_profit_mult = input.float(0.25, title="Take-Profit Multiplier")
stop_loss_mult = input.float(0.75, title="Stop-Loss Multiplier")
vol_filter = input.bool(true, title="Enable Volume Filter")
session_filter = input.bool(true, title="Limit to Trading Session")
// Additional inputs for further filtering and settings
atrMultiplier = input.float(title="ATR Multiplier for Stop Loss", defval=1.5, minval=0.1, step=0.1)
retestCushionLong = input.float(title="Retest Cushion Factor for BUY", defval=1.0, minval=1.0, step=0.001)
retestCushionShort = input.float(title="Retest Cushion Factor for SELL", defval=1.0, minval=0.0, maxval=1.0, step=0.001)
useTrendFilter = input.bool(title="Use 50 EMA Trend Filter", defval=true)
useRSIFilter = input.bool(title="Use RSI Filter", defval=false)
rsiPeriod = input.int(title="RSI Period", defval=14, minval=1)
rsiOversold = input.float(title="RSI Oversold Level", defval=30.0, minval=1, maxval=50)
rsiOverbought = input.float(title="RSI Overbought Level", defval=70.0, minval=50, maxval=100)
// Option to remove plotted lines
showLiquidityLines = input.bool(true, title="Show Liquidity Lines")
showFirstCandleLines = input.bool(true, title="Show First Candle Level Lines")
//──────────────────────────────
// Calculations & Variables (Liquidity & ATR Based)
//──────────────────────────────
price = close
atr = ta.atr(atr_length)
vol_condition = volume > ta.sma(volume, 20)
// Define Liquidity Base and Apex for support/resistance
liquidity_base = ta.lowest(low, liquidity_period)
apex = ta.highest(high, liquidity_period)
// Track recent highs and lows for filtering
hh = ta.highest(high, 30)
ll = ta.lowest(low, 30)
//──────────────────────────────
// Trade Stats Variables
//──────────────────────────────
var float take_profit = na
var float stop_loss = na
var bool in_trade = false
var int win_count = 0
var int loss_count = 0
//──────────────────────────────
// ENTRY LOGIC (BUY) Based on Liquidity & ATR
//──────────────────────────────
breakout_up = price > liquidity_base + (atr * atr_threshold)
point_of_release = ta.crossover(price, liquidity_base) and breakout_up
retest_buy = price > liquidity_base and price < hh and not in_trade
// Session condition (e.g. trading between 9AM–12PM)
session_condition = (hour >= 9 and hour <= 12) or not session_filter
if (point_of_release or retest_buy) and (vol_condition or not vol_filter) and session_condition
strategy.entry("Buy", strategy.long)
take_profit := price + (atr * take_profit_mult)
stop_loss := liquidity_base - (atr * stop_loss_mult)
in_trade := true
alert("Buy Signal - Price: " + str.tostring(price), alert.freq_once_per_bar)
//──────────────────────────────
// ENTRY LOGIC (SELL) Based on Liquidity & ATR
//──────────────────────────────
breakout_down = price < apex - (atr * atr_threshold)
clean_break = ta.crossunder(price, apex) and breakout_down
retest_sell = price < apex and price > ll and not in_trade
if (clean_break or retest_sell) and (vol_condition or not vol_filter) and session_condition
strategy.entry("Sell", strategy.short)
take_profit := price - (atr * take_profit_mult)
stop_loss := apex + (atr * stop_loss_mult)
in_trade := true
alert("Sell Signal - Price: " + str.tostring(price), alert.freq_once_per_bar)
//──────────────────────────────
// EXIT LOGIC (For BUY & SELL)
//──────────────────────────────
if strategy.position_size > 0
if price >= take_profit
strategy.close("Buy", comment="Take Profit")
win_count += 1
in_trade := false
if price <= stop_loss
strategy.close("Buy", comment="Stop Loss")
loss_count += 1
in_trade := false
if strategy.position_size < 0
if price <= take_profit
strategy.close("Sell", comment="Take Profit")
win_count += 1
in_trade := false
if price >= stop_loss
strategy.close("Sell", comment="Stop Loss")
loss_count += 1
in_trade := false
//──────────────────────────────
// Plot Liquidity Lines (Support/Resistance)
//──────────────────────────────
plot(showLiquidityLines ? liquidity_base : na, color=color.green, title="Liquidity Base (Support)")
plot(showLiquidityLines ? apex : na, color=color.red, title="Apex (Resistance)")
//──────────────────────────────
// Debugging Signal Shapes
//──────────────────────────────
plotshape(series=point_of_release, location=location.belowbar, color=color.green, style=shape.triangleup, title="Buy Signal")
plotshape(series=clean_break, location=location.abovebar, color=color.red, style=shape.triangledown, title="Sell Signal")
//──────────────────────────────
// Win/Loss Table Display
//──────────────────────────────
var table t = table.new(position.top_right, 1, 2)
if bar_index == last_bar_index
table.cell(t, 0, 0, "Wins: " + str.tostring(win_count), bgcolor=color.new(color.green, 80))
table.cell(t, 0, 1, "Losses: " + str.tostring(loss_count), bgcolor=color.new(color.red, 80))
//──────────────────────────────
// Alert Conditions for Entries and Exits
//──────────────────────────────
alertcondition(point_of_release, title="Buy Alert", message="Buy Signal Triggered")
alertcondition(clean_break, title="Sell Alert", message="Sell Signal Triggered")
var int lastClosedTrades = 0
var bool exitSignal = false
if strategy.closedtrades > lastClosedTrades
exitSignal := true
lastClosedTrades := strategy.closedtrades
alertcondition(exitSignal, title="EXIT Signal", message="EXIT signal triggered: Trade has closed (TP or SL reached).")
//──────────────────────────────
// FIRST 15-MINUTE CANDLE CAPTURE (9:30–9:45 AM EST)
//──────────────────────────────
newDay = dayofmonth != dayofmonth[1]
var float fHigh = na
var float fLow = na
var bool firstCandleCaptured = false
if newDay
fHigh := high
fLow := low
firstCandleCaptured := true
//──────────────────────────────
// Additional Filters & Calculations
//──────────────────────────────
// Trend Filter: 50 EMA
ema50 = ta.ema(close, 50)
longFilter = not useTrendFilter or (close > ema50)
shortFilter = not useTrendFilter or (close < ema50)
// ATR-Based Stop Loss Buffer
atrValue = ta.atr(14)
stopLossBuffer = atrValue * atrMultiplier
// RSI Calculation (if enabled)
rsiValue = ta.rsi(close, rsiPeriod)
//──────────────────────────────
// ENTRY CONDITIONS (15-Minute Candle Retest)
//──────────────────────────────
// Breakout/Breakdown based on the first candle levels
buyBreakout = firstCandleCaptured and ta.crossover(close, fHigh)
sellBreakdown = firstCandleCaptured and ta.crossunder(close, fLow)
// Retest conditions: price must retest the level after the breakout/breakdown
buyRetest = firstCandleCaptured and (low <= fHigh) and (close > fHigh)
sellRetest = firstCandleCaptured and (high >= fLow) and (close < fLow)
// Final entry signals (with optional RSI filter)
buySignal = buyBreakout and buyRetest and longFilter and (strategy.position_size == 0) and (not useRSIFilter or (rsiValue < rsiOversold))
sellSignal = sellBreakdown and sellRetest and shortFilter and (strategy.position_size == 0) and (not useRSIFilter or (rsiValue > rsiOverbought))
//──────────────────────────────
// Trade Parameters for 15-Minute Candle Retest
//──────────────────────────────
candleRange = fHigh - fLow
stopLossBuy = fLow - stopLossBuffer
takeProfitBuy = fHigh + (candleRange * riskRewardRatio)
stopLossSell = fHigh + stopLossBuffer
takeProfitSell = fLow - (candleRange * riskRewardRatio)
//──────────────────────────────
// Execute Trades for 15-Minute Candle Retest
//──────────────────────────────
if buySignal
strategy.entry("BUY", strategy.long)
strategy.exit("TP/SL BUY", "BUY", stop=stopLossBuy, limit=takeProfitBuy)
if sellSignal
strategy.entry("SELL", strategy.short)
strategy.exit("TP/SL SELL", "SELL", stop=stopLossSell, limit=takeProfitSell)
//──────────────────────────────
// Plot First Candle Level Lines (Optional)
//──────────────────────────────
plot(showFirstCandleLines and firstCandleCaptured ? fHigh : na, title="First Candle High", color=color.blue, linewidth=2)
plot(showFirstCandleLines and firstCandleCaptured ? fLow : na, title="First Candle Low", color=color.red, linewidth=2)