Bollinger Bands with AlertTriple Bollinger Bands with Alert
select BB 1-3
select source outside/inside
"alert" için komut dosyalarını ara
3 in 1 (BB, Stoch ,rsi) with alert On the chart there are the BB with purple and green circles to give the entry signal once the price has come back in the bands.The background alert appair when BOTH RSI and STOCH are in overbuy or oversell. the defalt is 20/80 but can set it by yourself.
Volume w/ Threshold and Editable MA PeriodJust a simple script that tweaks the original Volume one.
The purpose is creating a threshold which we'll use to put an alert on. This way, we can be notified whether Volume pumps.
Useful for spotting breakouts, breakdowns and pumps.
Threshold is simply a coeff * ma(volume,period). Coeff is editable as well.
Hope this helps!
Ehlers MESA Adaptive Moving Average [LB + ekoronin fix] AlertEhlers MESA Adaptive Moving Average Alert
4EMA Alert4 EMA lines as per @Philakone EMA Cross strategy created by @Nuovibusiness with ability to add alert when there is bullish or bearish cross.
4All-Alert ScriptThis is the alert script for automating a previously shared strategy.
You can get the strategy script and instructions for setting it up here:
Squeeze Momentum Alert ScriptThis is the alert script for the squeeze momentum strategy found here...
Long on Green,
Short on Red,
Close Longs on Aqua,
Close Shorts on Orange.
RSI Stochastic Extreme Combo alertThis script will give you red or green columns as an indication for oversold/overbought based upon the rsi and stochastic both being at extreme levels (you set). The default oversold is at 35. If Stochastic and RSI fall below 35, you will get a green column (Both indicators at the extreme). Play with your levels to see how your stock reacts. RSI and Stochastic can both be changed along with each of the levels you would like the color change. I have set mine at RSI low: 37, RSI high: 63, Stoch low: 10, and Stoch high: 90. These levels have been working well for me on AAPL. Enjoy and don't forget to leave a comment if it helps your trading or you have other ideas about what is working for you.
strategy MACD and RSI alert fixedI notice that my previous request for help has gathered alot of attention. This is the fixed alert for anyone who wants it, sorry it has been so long since the initial video but I have been super busy with exam work.
Ichimoku Cloud ALERTHi, this my new script which show you correct Ichimoku signals, when price exit cloud.
SELL SIGNAL:
- red line below blue
- green line below price
- price exit cloud bottom
- price below 3 EMA's!
BUY SIGNAL:
- red line above blue
- green line above price
- price exit cloud upper
- price above 3 EMA's!
You can change ichimoku parameters and input 3 EMA's. If u dont want use any of the EMA's then input 1 into them.
CarolTradeLibLibrary "CarolTradeLib"
f_generateSignalID(strategyName)
Parameters:
strategyName (string)
f_buildJSON(orderType, action, symbol, price, strategyName, apiKey, additionalFields, indicatorJSON)
Parameters:
orderType (string)
action (string)
symbol (string)
price (float)
strategyName (string)
apiKey (string)
additionalFields (string)
indicatorJSON (string)
sendSignal(action, symbol, price, strategyName, apiKey, indicatorJSON)
Parameters:
action (string)
symbol (string)
price (float)
strategyName (string)
apiKey (string)
indicatorJSON (string)
marketOrder(action, symbol, price, strategyName, apiKey, stopLoss, takeProfit, rrRatio, size, indicatorJSON)
Parameters:
action (string)
symbol (string)
price (float)
strategyName (string)
apiKey (string)
stopLoss (float)
takeProfit (float)
rrRatio (float)
size (float)
indicatorJSON (string)
limitOrder(action, symbol, price, strategyName, apiKey, limitPrice, size, indicatorJSON)
Parameters:
action (string)
symbol (string)
price (float)
strategyName (string)
apiKey (string)
limitPrice (float)
size (float)
indicatorJSON (string)
stopLimitOrder(action, symbol, price, strategyName, apiKey, stopPrice, limitPrice, size, indicatorJSON)
Parameters:
action (string)
symbol (string)
price (float)
strategyName (string)
apiKey (string)
stopPrice (float)
limitPrice (float)
size (float)
indicatorJSON (string)
vector0Library "vector0"
TODO: add library description here
test()
TODO: add function description here
Returns: TODO: add what function returns
ICTHL_PublicLibrary "ICTSwingsPublic"
f_ictSwings(leftStrength, rightStrength, maxLines, highColor, lowColor)
Parameters:
leftStrength (int)
rightStrength (int)
maxLines (int)
highColor (color)
lowColor (color)
SMC_CommonLibrary "SMC_Common"
Common types and utilities for Smart Money Concepts indicators
get_future_time(bars_ahead)
Parameters:
bars_ahead (int)
get_time_at_offset(offset)
Parameters:
offset (int)
get_mid_time(time1, time2)
Parameters:
time1 (int)
time2 (int)
timeframe_to_string(tf)
Parameters:
tf (string)
is_psychological_level(price)
Parameters:
price (float)
detect_swing_high(src_high, lookback)
Parameters:
src_high (float)
lookback (int)
detect_swing_low(src_low, lookback)
Parameters:
src_low (float)
lookback (int)
detect_fvg(h, l, min_size)
Parameters:
h (float)
l (float)
min_size (float)
analyze_volume(vol, volume_ma)
Parameters:
vol (float)
volume_ma (float)
create_label(x, y, label_text, bg_color, label_size, use_time)
Parameters:
x (int)
y (float)
label_text (string)
bg_color (color)
label_size (string)
use_time (bool)
SwingPoint
Fields:
price (series float)
bar_index (series int)
bar_time (series int)
swing_type (series string)
strength (series int)
is_major (series bool)
timeframe (series string)
LiquidityLevel
Fields:
price (series float)
bar_index (series int)
bar_time (series int)
liq_type (series string)
touch_count (series int)
is_swept (series bool)
quality_score (series float)
level_type (series string)
OrderBlock
Fields:
start_bar (series int)
end_bar (series int)
start_time (series int)
end_time (series int)
top (series float)
bottom (series float)
ob_type (series string)
has_liquidity_sweep (series bool)
has_fvg (series bool)
is_mitigated (series bool)
is_breaker (series bool)
timeframe (series string)
mitigation_level (series float)
StructureBreak
Fields:
level (series float)
break_bar (series int)
break_time (series int)
break_type (series string)
direction (series string)
is_confirmed (series bool)
source_swing_bar (series int)
source_time (series int)
SignalData
Fields:
signal_type (series string)
entry_price (series float)
stop_loss (series float)
take_profit (series float)
risk_reward_ratio (series float)
confluence_count (series int)
confidence_score (series float)
strength (series string)
EnhancedSignalGeneratorLibrary "EnhancedSignalGenerator"
Enhanced Signal Generator – clean v6 implementation (UDT-based)
generateAdvancedSignal(unifiedScore, trendComp, momInd, volFactor, qualScore, cyclePos, regime)
Generates advanced signal analysis with multi-pathway evaluation
Parameters:
unifiedScore (float) : Unified market score input
trendComp (float) : Trend component analysis factor
momInd (float) : Momentum indicator value
volFactor (float) : Volatility adjustment factor
qualScore (float) : Quality assessment metric
cyclePos (float) : Market cycle position (0.0-1.0, where 0.5 = neutral cycle phase)
regime (string) : Market regime classification string ("bull", "bear", "sideways", "volatile")
Returns: Signal Comprehensive signal analysis result
analyzePatternSignals(h, l, c, v, w, reg)
Analyzes pattern-based signal components with multi-dimensional price action evaluation
Parameters:
h (float) : High price value for range analysis
l (float) : Low price value for support/resistance detection
c (float) : Close price value for momentum assessment
v (float) : Volume data for confirmation analysis
w (int) : Analysis window period for pattern formation timeframe
reg (string) : Market regime string for context-aware pattern interpretation
Returns: Signal Pattern analysis signal with comprehensive technical evaluation
optimizeSignalParameters(s, p, w, m)
Optimizes signal generation parameters through advanced statistical analysis
Parameters:
s (array) : Signal array input for performance evaluation
p (array) : Parameter array input for optimization target values
w (int) : Window period for rolling optimization analysis
m (string) : Optimization method string ("sharpe", "sortino", "calmar", "variance")
Returns: float Optimization result score representing parameter fitness
Signal
Signal data structure for market analysis
Fields:
dir (series int) : Signal direction: +1 bull, -1 bear, 0 flat
strength (series float) : Signal strength magnitude (0-1)
conf (series float) : Confidence level (0-1)
rationale (series string) : Human-readable explanation
source (series string) : Signal source classification
quality (series float) : Blended quality assessment score
