Custom Fibonacci Strategy with Zonesgf;ldgjfl;dkgjdfklgkjkfdgjdfklgfdgfdjfg
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CandlestickThe “All Candlestick Patterns on Backtest” indicator generates a table that offers a clear visualization of the historical return percentages for each candlestick pattern strategy over a specified time period. This table serves as an organized resource, serving as a launching point for in-depth research into candle formations. It may help to rectify any misconceptions surrounding candlestick patterns, refine trading approaches, and it could be foundation to make informed decisions in trading journey.
Time Filter: 8:00 AM to 12:30 PM EST8 am to 12:30 PM EST Time Filtering Script for Bar Replay or Backtesting
5 EMA and 21 EMA Crossover Strategyit is an excellent strategy for swing trade in all time frame.if you take entry in trade along with macd bullish crossover and rsi>50 success rate increases.
Crypto Trend & Volume RSI/MACD IndicatorKripto da kullanılacak olup trendi ve hacimi de hesaba katılmış olup, RSI ve MACD yi ve ema20-50-111-200-365 i içeriyor, çizgi ve renkli bölge görselliğin ikisinide kullandım, alarm ve uyarı sisteminide ayarlayadık, alım dip yeşil alan ile ve satış tepe bölgeleri kırmızı alan ile gösterdim.
LIBOR-OIS SpreadDer LIBOR-OIS-Spread ist ein wichtiger Indikator für das Kreditrisiko im Bankensektor.
Der LIBOR-OIS-Spread zeigt die Differenz zwischen dem LIBOR und dem OIS. Ein hoher Spread signalisiert, dass Banken ein erhöhtes Risiko bei der Kreditvergabe untereinander sehen. Dies geschieht typischerweise in Zeiten wirtschaftlicher Unsicherheit oder finanzieller Instabilität.
Was sagt der Spread aus?
* Niedriger Spread (normalerweise < 10 Basispunkte): Normalisierte Marktbedingungen; Banken vertrauen einander.
* Hoher Spread (deutlich > 10 Basispunkte): Anzeichen von Stress im Finanzsystem, möglicherweise durch Liquiditätsprobleme oder gestiegene Ausfallrisiken.
Beispiele: Während der Finanzkrise 2008 stieg der LIBOR-OIS-Spread auf über 350 Basispunkte, was auf extreme Stresssituationen hinwies.
Time Filter: 8:00 AM to 12:30 PM EST8 am to 12:30 PM EST Time Filtering Script for Bar Replay or Backtesting
Saleh Indikator - Bitcoin Halving Cycle Profit with BG ColourBitcoin Halving Cycle with Background Colour is a indikator inspired from @KevinSvenson_ indikator pinescript, i just add some colour to background
Heikin-Ashi with 200 EMA, 20 SMA and Buy/Sell Signals by HaryKey Components:
Heikin-Ashi Candles:
The script calculates and plots Heikin-Ashi candles, which smooth price action and help identify trends.
200-period EMA & 20-period SMA:
The 200 EMA indicates long-term trends, while the 20 SMA shows short-term price movements.
Buy/Sell Signals:
A buy signal is generated when the Heikin-Ashi close is above both the 20 SMA and 200 EMA.
A sell signal occurs when the Heikin-Ashi close is below both the 20 SMA and 200 EMA.
These signals are displayed as green (buy) and red (sell) triangles on the chart.
Multiple Symbols:
The script allows tracking up to 7 symbols (like AUDUSD, EURUSD, GBPJPY, etc.), which can be set by the user.
Multiple Timeframes:
Signals are calculated for 3 different timeframes: 5-minute, 15-minute, and 60-minute charts for each symbol.
Alerts:
Alerts are configured for each symbol and timeframe combination. Alerts are triggered when a buy or sell condition is met.
Customizable:
Users can enable or disable buy/sell alerts for each symbol using toggle switches.
shadowpipz macroMacro refers to the study or analysis of large-scale economic factors and trends that influence the overall economy. It focuses on aspects such as inflation, interest rates, gross domestic product (GDP), unemployment rates, and monetary or fiscal policies. In finance and trading, macro analysis helps investors understand how these factors impact markets, industries, and currencies, enabling them to make informed decisions.
MACD,RSI,EM9,WMA45 (Scale -100 đến 100)include: MACD,RSI,EM9,WMA45.
All indicators are fixed from -100 to 100.
SMK1352 - Multi-Position IndicatorThis is a new beginning indicator made by myself. I will try to improve and enhance it.
it is just for information and reference only and not suggested to be based for real trades.
any usage responsibility is just on user part.
Bitcoin Reversal PredictorOverview
This indicator displays two lines that, when they cross, signal a potential reversal in Bitcoin's price trend. Historically, the high or low of a bull market cycle often occurs near the moment these lines intersect. The lines consist of an Exponential Moving Average (EMA) and a logarithmic regression line fitted to all of Bitcoin's historical data.
Inspiration
The inspiration for this indicator came from the PI Cycle Top indicator, which has accurately predicted past bull market peaks. However, I believe the PI Cycle Top indicator may not be as effective in the future. In that indicator, two lines cross to mark the top, but the extent of the cross has been diminishing over time. This was especially noticeable in the 2021 cycle, where the lines barely crossed. Because of this, I created a new indicator that I think will continue to provide reliable reversal signals in the future.
How It Works
The logarithmic regression line is fitted to the Bitcoin (BTCUSD) chart using two key factors: the 'a' factor (slope) and the 'b' factor (intercept). This results in a steadily decreasing line. The EMA oscillates above and below this regression line. Each time the two lines cross, a vertical colored bar appears, indicating that Bitcoin's price momentum is likely to reverse.
Use Cases
- Price Bottoming:
Bitcoin often bottoms out when the EMA crosses below the logarithmic regression line.
- Price Topping:
In contrast, Bitcoin often peaks when the EMA crosses above the logarithmic regression line.
- Profitable Strategy:
Trading at the crossovers of these lines can be a profitable strategy, as these moments often signal significant price reversals.
Indicator Box: VWAP, SMAs, EMAs, and VolumesIndicator Box: VWAP, SMAs, EMAs, and Volumes
This indicator displays a table on the chart, showing key technical indicators such as VWAP, various Simple Moving Averages (SMA), Exponential Moving Averages (EMA), and Volume data. The volume data includes daily, weekly, and yearly average volume, with color-coded highlights to indicate when daily and weekly volumes exceed the yearly average. The table is styled for clarity, with centered headers for "Indicator Values" and "Volume Data".
EMA, Bollinger, Trend & Buy/Sell Signals2025-yeni strategiya istifanize verdim sadece gozdeyin buy olan zaman alın sell olan zaman satın sadece sebirle gözdeyin 90%
Bitcoin Logarithmic Regression BandsOverview
This indicator displays logarithmic regression bands for Bitcoin. Logarithmic regression is a statistical method used to model data where growth slows down over time. I initially created these bands in 2019 using a spreadsheet, and later coded them in TradingView in 2021. Over time, the bands proved effective at capturing Bitcoin's bull market peaks and bear market lows. In 2024, I decided to share this indicator because I believe these logarithmic regression bands offer the best fit for the Bitcoin chart.
How It Works
The logarithmic regression lines are fitted to the Bitcoin (BTCUSD) chart using two key factors: the 'a' factor (slope) and the 'b' factor (intercept). The two lines in the upper and lower bands share the same 'a' factor, but I adjust the 'b' factor by 0.2 to more accurately capture the bull market peaks and bear market lows. The formula for logaritmic regression is 10^((a * ln) - b).
How to Use the Logarithmic Regression Bands
1. Lower Band (Support Band):
The two lines in the lower band create a potential support area for Bitcoin’s price. Historically, Bitcoin’s price has always found its lows within this band during past market cycles. When the price is within the lower band, it suggests that Bitcoin is undervalued and could be set for a rebound.
2. Upper Band (Resistance Band):
The two lines in the upper band create a potential resistance area for Bitcoin’s price. Bitcoin has consistently reached its highs in this band during previous market cycles. If the price is within the upper band, it indicates that Bitcoin is overvalued, and a potential price correction may be imminent.
Use Cases
- Price Bottoming:
Bitcoin tends to bottom out at the lower band before entering a prolonged bull market or a period of sideways movement.
- Price Topping:
In reverse, Bitcoin tends to top out at the upper band before entering a bear market phase.
- Profitable Strategy:
Buying at the lower band and selling at the upper band can be a profitable trading strategy, as these bands often indicate key price levels for Bitcoin’s market cycles.
Advanced Trading Strategy//@version=5
indicator("Advanced Trading Strategy", overlay=true)
// === Input Parameters ===
input_length = input.int(14, title="Length for Highs/Lows")
input_risk_reward = input.float(2.0, title="Risk-Reward Ratio")
input_stop_offset = input.float(10, title="Stop Loss Offset (ticks)")
input_take_offset = input.float(20, title="Take Profit Offset (ticks)")
input_alerts = input.bool(true, title="Enable Alerts")
// === Functions for Swings ===
swingHigh(len) =>
high > ta.highest(high , len) and high > ta.highest(high , len)
swingLow(len) =>
low < ta.lowest(low , len) and low < ta.lowest(low , len)
// === Swing High and Low Detection ===
var float swing_high = na
var float swing_low = na
if bar_index > input_length
if swingHigh(input_length)
swing_high := high
if swingLow(input_length)
swing_low := low
// === Entry Conditions ===
long_condition = not na(swing_high) and ta.crossover(close, swing_high)
short_condition = not na(swing_low) and ta.crossunder(close, swing_low)
// === Risk Management ===
var float long_entry = na
var float short_entry = na
var float stop_loss = na
var float take_profit = na
if long_condition
long_entry := swing_high
stop_loss := long_entry - input_stop_offset * syminfo.mintick
take_profit := long_entry + input_take_offset * input_risk_reward * syminfo.mintick
if short_condition
short_entry := swing_low
stop_loss := short_entry + input_stop_offset * syminfo.mintick
take_profit := short_entry - input_take_offset * input_risk_reward * syminfo.mintick
// === Plotting ===
// Entry Labels
var label long_label = na
var label short_label = na
if long_condition
if na(long_label)
long_label := label.new(bar_index, swing_high, "Buy", style=label.style_label_up, color=color.new(color.green, 0), textcolor=color.white)
else
label.set_xy(long_label, bar_index, swing_high)
if short_condition
if na(short_label)
short_label := label.new(bar_index, swing_low, "Sell", style=label.style_label_down, color=color.new(color.red, 0), textcolor=color.white)
else
label.set_xy(short_label, bar_index, swing_low)
// Stop Loss and Take Profit Lines
var line stop_loss_line = na
var line take_profit_line = na
if not na(stop_loss)
if na(stop_loss_line)
stop_loss_line := line.new(bar_index, stop_loss, bar_index + 1, stop_loss, color=color.red, width=2, style=line.style_dotted)
else
line.set_xy1(stop_loss_line, bar_index, stop_loss)
line.set_xy2(stop_loss_line, bar_index + 1, stop_loss)
if not na(take_profit)
if na(take_profit_line)
take_profit_line := line.new(bar_index, take_profit, bar_index + 1, take_profit, color=color.green, width=2, style=line.style_dotted)
else
line.set_xy1(take_profit_line, bar_index, take_profit)
line.set_xy2(take_profit_line, bar_index + 1, take_profit)
// Alerts
alertcondition(long_condition, title="Long Alert", message="Buy signal detected at {{close}}")
alertcondition(short_condition, title="Short Alert", message="Sell signal detected at {{close}}")
Annual Date Range HighlighterThe script allows you to highlight a range of dates within a year throughout the entire available history. For example, you need to look at what happened in all Januarys in the entire available history
Estrategia RSI + Volumen + EMA con Alertas//@version=5
indicator("Estrategia RSI + Volumen + EMA con Alertas", overlay=true)
// Parámetros de entrada
rsi_period = input.int(14, title="Periodo RSI")
rsi_overbought = input.int(70, title="RSI Sobrecompra")
rsi_oversold = input.int(30, title="RSI Sobreventa")
ema_period = input.int(50, title="Periodo EMA")
vol_avg_period = input.int(20, title="Periodo Promedio Volumen")
// Cálculo de indicadores
rsi = ta.rsi(close, rsi_period)
ema = ta.ema(close, ema_period)
vol_avg = ta.sma(volume, vol_avg_period)
// Condiciones de compra y venta
long_condition = (rsi <= rsi_oversold) and (volume > vol_avg) and (close > ema)
short_condition = (rsi >= rsi_overbought) and (volume > vol_avg) and (close < ema)
// Señales en el gráfico
plotshape(series=long_condition, title="Señal de Compra", location=location.belowbar, color=color.green, style=shape.labelup, text="Compra")
plotshape(series=short_condition, title="Señal de Venta", location=location.abovebar, color=color.red, style=shape.labeldown, text="Venta")
// Plot de la EMA
plot(ema, title="EMA", color=color.blue, linewidth=2)
// Líneas horizontales para niveles de RSI
hline(rsi_overbought, "Sobrecompra", color=color.red)
hline(rsi_oversold, "Sobreventa", color=color.green)
// Alertas
alertcondition(long_condition, title="Alerta de Compra", message="Señal de Compra: RSI en sobreventa, volumen alto y precio sobre EMA.")
alertcondition(short_condition, title="Alerta de Venta", message="Señal de Venta: RSI en sobrecompra, volumen alto y precio bajo EMA.")
Lit Entry HelperContains the LIT Entry Helper Script. It helps to enter the trade based on EDM and LET Confirmation.
Heikin-Ashi Buy/Sell SignalEach Candle will be denoted as either Buy or Hold or Sell. The yellow line can be considered as baseline for future action. When closed below this baseline, there is a possibility of trend reversal and one can exit the trade.