mon007// @version=5
indicator("IQ Option Signals (1m) — Multi-filter + Re-test", overlay=true)
// -------------------- Inputs --------------------
tf_label = input.timeframe("1", "Timeframe for signals (use 1 for 1m)")
use_hl2 = input.bool(true, "Use hl2 for calculations (true = (high+low)/2)")
// MA inputs
ma_fast = input.int(5, "EMA Fast", minval=1)
ma_slow = input.int(20, "EMA Slow", minval=1)
// MACD
macd_fast = input.int(12, "MACD Fast")
macd_slow = input.int(26, "MACD Slow")
macd_signal_len = input.int(9, "MACD Signal")
// RSI
rsi_len = input.int(14, "RSI Length")
rsi_overbought = input.int(70, "RSI Overbought")
rsi_oversold = input.int(30, "RSI Oversold")
// Bollinger
bb_len = input.int(20, "BB Length")
bb_dev = input.float(2.0, "BB StdDev")
// Support/Resistance lookback
sr_len = input.int(20, "S/R lookback (bars)")
// Re-test tolerance (percentage)
retest_tol = input.float(0.15, "Re-test tolerance (%)", step=0.01) // 0.15% default
// Signal thresholds
min_signals_to_show = input.int(2, "Min confirming signals to show arrow", minval=1)
low_risk_threshold = input.int(3, ">= signals => Low risk")
med_risk_threshold = input.int(2, ">= signals => Medium risk (else High)")
// Visuals
arrow_size = input.int(30, "Arrow size (plotshape size)", minval=10, maxval=50)
show_labels = input.bool(true, "Show risk label?")
show_ma = input.bool(true, "Show EMA lines?")
show_sr = input.bool(true, "Show S/R levels?")
// -------------------- Price selection --------------------
price = use_hl2 ? hl2 : close
// -------------------- Indicators --------------------
emaF = ta.ema(price, ma_fast)
emaS = ta.ema(price, ma_slow)
= ta.macd(price, macd_fast, macd_slow, macd_signal_len)
macd_cross_up = ta.crossover(macdLine, signalLine)
macd_cross_down = ta.crossunder(macdLine, signalLine)
rsi = ta.rsi(price, rsi_len)
// Bollinger
basis = ta.sma(price, bb_len)
dev = bb_dev * ta.stdev(price, bb_len)
bb_up = basis + dev
bb_dn = basis - dev
// Support / Resistance (simple highest/lowest)
sr_high = ta.highest(high, sr_len)
sr_low = ta.lowest(low, sr_len)
// Detect price near SR (within tolerance)
tol = retest_tol / 100.0
near_support = (math.abs(price - sr_low) <= sr_low * tol)
near_resistance = (math.abs(price - sr_high) <= sr_high * tol)
// Re-test rule (previous candle close retested the EMA or S/R)
prev_close = price
retest_on_ema_buy = (prev_close <= emaF ) and (close > emaF) // price bounced above EMA (re-test) -> bullish
retest_on_ema_sell = (prev_close >= emaF ) and (close < emaF) // price bounced below EMA (re-test) -> bearish
retest_on_sr_buy = (prev_close <= sr_low * (1 + tol)) and (close > sr_low) // bounced above support
retest_on_sr_sell = (prev_close >= sr_high * (1 - tol)) and (close < sr_high) // bounced below resistance
// Candlestick confirmation (simple): strong body direction
body = close - open
strong_bull = body > (high - low) * 0.25 and close > open
strong_bear = body < -(high - low) * 0.25 and close < open
// -------------------- Build signals (count confirmations) --------------------
bull_signals = 0
bear_signals = 0
// Trend bias (EMA)
if emaF > emaS
bull_signals += 1
else
bear_signals += 1
// MACD
if macd_cross_up
bull_signals += 1
if macd_cross_down
bear_signals += 1
// RSI
if rsi > 50
bull_signals += 1
if rsi < 50
bear_signals += 1
// Bollinger breakout (price closing above upper band suggests strong bullish momentum; below lower band bearish)
if close > bb_up
bull_signals += 1
if close < bb_dn
bear_signals += 1
// S/R re-test: prefer signals that occur after re-test (stronger)
if (retest_on_ema_buy or retest_on_sr_buy) and near_support
bull_signals += 1
if (retest_on_ema_sell or retest_on_sr_sell) and near_resistance
bear_signals += 1
// Candlestick strength
if strong_bull
bull_signals += 1
if strong_bear
bear_signals += 1
// -------------------- Decide show arrow & risk --------------------
show_buy = (bull_signals >= min_signals_to_show) and (bull_signals > bear_signals)
show_sell = (bear_signals >= min_signals_to_show) and (bear_signals > bull_signals)
// Risk classification: more confirmations => lower risk
getRiskText = (count) =>
count >= low_risk_threshold ? "เสี่ยง: ต่ำ (Low risk)" :
count >= med_risk_threshold ? "เสี่ยง: กลาง (Medium risk)" : "เสี่ยง: สูง (High risk)"
// -------------------- Plot visuals --------------------
if show_ma
plot(emaF, color=color.new(color.green, 0), title="EMA Fast")
plot(emaS, color=color.new(color.red, 0), title="EMA Slow")
if show_sr
// draw horizontal lines for latest SR levels
h1 = hline(sr_high, "Resistance", color=color.new(color.orange, 80))
h2 = hline(sr_low, "Support", color=color.new(color.blue, 80))
// Plot buy arrow
plotshape(show_buy, title="Buy Arrow", style=shape.triangleup, location=location.belowbar, color=color.green, size=size(arrow_size), text="CALL")
if show_buy and show_labels
label.new(bar_index, low - tr*0.5, text=getRiskText(bull_signals) + " Call 1m", style=label.style_label_up, color=color.new(color.green, 0), textcolor=color.white, size=size.small)
// Plot sell arrow
plotshape(show_sell, title="Sell Arrow", style=shape.triangledown, location=location.abovebar, color=color.red, size=size(arrow_size), text="PUT")
if show_sell and show_labels
label.new(bar_index, high + tr*0.5, text=getRiskText(bear_signals) + " Put 1m", style=label.style_label_down, color=color.new(color.red, 0), textcolor=color.white, size=size.small)
// Optional: show small table of counts
var table t = table.new(position.top_right, 1, 3)
if barstate.islast
table.cell(t, 0, 0, "Bull signals: " + str.tostring(bull_signals), text_color=color.green)
table.cell(t, 0, 1, "Bear signals: " + str.tostring(bear_signals), text_color=color.red)
table.cell(t, 0, 2, "Risk: " + (show_buy ? getRiskText(bull_signals) : show_sell ? getRiskText(bear_signals) : "N/A"))
