Bill Williams. Awesome Oscillator (AO) Backtest This indicator is based on Bill Williams` recommendations from his book
"New Trading Dimensions". We recommend this book to you as most useful reading.
The wisdom, technical expertise, and skillful teaching style of Williams make
it a truly revolutionary-level source. A must-have new book for stock and
commodity traders.
The 1st 2 chapters are somewhat of ramble where the author describes the
"metaphysics" of trading. Still some good ideas are offered. The book references
chaos theory, and leaves it up to the reader to believe whether "supercomputers"
were used in formulating the various trading methods (the author wants to come across
as an applied mathemetician, but he sure looks like a stock trader). There isn't any
obvious connection with Chaos Theory - despite of the weak link between the title and
content, the trading methodologies do work. Most readers think the author's systems to
be a perfect filter and trigger for a short term trading system. He states a goal of
10%/month, but when these filters & axioms are correctly combined with a good momentum
system, much more is a probable result.
There's better written & more informative books out there for less money, but this author
does have the "Holy Grail" of stock trading. A set of filters, axioms, and methods which are
the "missing link" for any trading system which is based upon conventional indicators.
This indicator plots the oscillator as a histogram where periods fit for buying are marked
as blue, and periods fit for selling as red. If the current value of AC (Awesome Oscillator)
is over the previous, the period is deemed fit for buying and the indicator is marked blue.
If the AC values is not over the previous, the period is deemed fir for selling and the indicator
is marked red.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Komut dosyalarını "backtest" için ara
Bill Williams. Awesome Oscillator (AC) Backtest This indicator plots the oscillator as a histogram where blue denotes
periods suited for buying and red . for selling. If the current value
of AO (Awesome Oscillator) is above previous, the period is considered
suited for buying and the period is marked blue. If the AO value is not
above previous, the period is considered suited for selling and the
indicator marks it as red.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
2/20 Exponential Moving Average Backtest Strategy
This indicator plots 2/20 exponential moving average. For the Mov
Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Historical Volatility Strategy Backtest Strategy buy when HVol above BuyBand and close position when HVol below CloseBand.
Markets oscillate from periods of low volatility to high volatility
and back. The author`s research indicates that after periods of
extremely low volatility, volatility tends to increase and price
may move sharply. This increase in volatility tends to correlate
with the beginning of short- to intermediate-term moves in price.
They have found that we can identify which markets are about to make
such a move by measuring the historical volatility and the application
of pattern recognition.
The indicator is calculating as the standard deviation of day-to-day
logarithmic closing price changes expressed as an annualized percentage.
Please, use it only for learning or paper trading. Do not for real trading.
Fisher Transform Indicator by Ehlers Backtest v 2.0 Market prices do not have a Gaussian probability density function
as many traders think. Their probability curve is not bell-shaped.
But trader can create a nearly Gaussian PDF for prices by normalizing
them or creating a normalized indicator such as the relative strength
index and applying the Fisher transform. Such a transformed output
creates the peak swings as relatively rare events.
Fisher transform formula is: y = 0.5 * ln ((1+x)/(1-x))
The sharp turning points of these peak swings clearly and unambiguously
identify price reversals in a timely manner.
For signal used zero.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
High - EMA Strategy Backtest This indicator plots the difference between the High (of the previous period)
and an exponential moving average (13 period) of the Close (of the previous period).
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
It buy if indicator above 0 and sell if below.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
FX Sniper: T3-CCI Strategy Backtest This simple indicator gives you a lot of useful information - when to enter, when to exit
and how to reduce risks by entering a trade on a double confirmed signal.
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
FSK (Fast and Slow Kurtosis) Backtest This indicator plots the Fast & Slow Kurtosis. The Kurtosis is a market
sentiment indicator. The Kurtosis is constructed from three different parts.
The Kurtosis, the Fast Kurtosis(FK), and the Fast/Slow Kurtosis(FSK).
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Fisher Transform Indicator by Ehlers Backtest Market prices do not have a Gaussian probability density function
as many traders think. Their probability curve is not bell-shaped.
But trader can create a nearly Gaussian PDF for prices by normalizing
them or creating a normalized indicator such as the relative strength
index and applying the Fisher transform. Such a transformed output
creates the peak swings as relatively rare events.
Fisher transform formula is: y = 0.5 * ln ((1+x)/(1-x))
The sharp turning points of these peak swings clearly and unambiguously
identify price reversals in a timely manner.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Extracting The Trend Strategy Backtest The related article is copyrighted material from Stocks & Commodities Mar 2010
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Ergotic TSI Strategy Backtest r - Length of first EMA smoothing of 1 day momentum 4
s - Length of second EMA smoothing of 1 day smoothing 8
u- Length of third EMA smoothing of 1 day momentum 6
Length of EMA signal line 3
Source of Ergotic TSI Close
This is one of the techniques described by William Blau in his book "Momentum,
Direction and Divergence" (1995). If you like to learn more, we advise you to
read this book. His book focuses on three key aspects of trading: momentum,
direction and divergence. Blau, who was an electrical engineer before becoming
a trader, thoroughly examines the relationship between price and momentum in
step-by-step examples. From this grounding, he then looks at the deficiencies
in other oscillators and introduces some innovative techniques, including a
fresh twist on Stochastics. On directional issues, he analyzes the intricacies
of ADX and offers a unique approach to help define trending and non-trending periods.
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Ergotic MACD Strategy Backtest This is one of the techniques described by William Blau in his book
"Momentum, Direction and Divergence" (1995). If you like to learn more,
we advise you to read this book. His book focuses on three key aspects
of trading: momentum, direction and divergence. Blau, who was an electrical
engineer before becoming a trader, thoroughly examines the relationship
between price and momentum in step-by-step examples. From this grounding,
he then looks at the deficiencies in other oscillators and introduces some
innovative techniques, including a fresh twist on Stochastics. On directional
issues, he analyzes the intricacies of ADX and offers a unique approach to help
define trending and non-trending periods.
Blau`s indicator is like usual MACD, but it plots opposite of meaningof
stndard MACD indicator.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Elder Ray (Bull Power) Strategy Backtest Developed by Dr Alexander Elder, the Elder-ray indicator measures buying
and selling pressure in the market. The Elder-ray is often used as part
of the Triple Screen trading system but may also be used on its own.
Dr Elder uses a 13-day exponential moving average (EMA) to indicate the
market consensus of value. Bull Power measures the ability of buyers to
drive prices above the consensus of value. Bear Power reflects the ability
of sellers to drive prices below the average consensus of value.
Bull Power is calculated by subtracting the 13-day EMA from the day's High.
Bear power subtracts the 13-day EMA from the day's Low.
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
ECO Strategy Backtest We call this one the ECO for short, but it will be listed on the indicator list
at W. Blau’s Ergodic Candlestick Oscillator. The ECO is a momentum indicator.
It is based on candlestick bars, and takes into account the size and direction
of the candlestick "body". We have found it to be a very good momentum indicator,
and especially smooth, because it is unaffected by gaps in price, unlike many other
momentum indicators.
We like to use this indicator as an additional trend confirmation tool, or as an
alternate trend definition tool, in place of a weekly indicator. The simplest way
of using the indicator is simply to define the trend based on which side of the "0"
line the indicator is located on. If the indicator is above "0", then the trend is up.
If the indicator is below "0" then the trend is down. You can add an additional
qualifier by noting the "slope" of the indicator, and the crossing points of the slow
and fast lines. Some like to use the slope alone to define trend direction. If the
lines are sloping upward, the trend is up. Alternately, if the lines are sloping
downward, the trend is down. In this view, the point where the lines "cross" is the
point where the trend changes.
When the ECO is below the "0" line, the trend is down, and we are qualified only to
sell on new short signals from the Hi-Lo Activator. In other words, when the ECO is
above 0, we are not allowed to take short signals, and when the ECO is below 0, we
are not allowed to take long signals.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
DiNapoli Detrended Oscillator Strategy Backtest DiNapoli Detrended Oscillator Strategy
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
DAPD - Strategy Backtest This indicator is similar to Bollinger Bands. It based on DAPD - Daily
Average Price Delta. DAPD is based upon a summation for each of the
highs (hod) for the 21 days prior to today minus the summation for
each of the lows (lod) for the last 21 days prior to today. The result
of this calculation would then be divided by 21.
It will be buy when high above previos DAPD high and sell if low below previos DAPD low
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Chaikin Volatility Strategy Backtest Chaikin's Volatility indicator compares the spread between a security's
high and low prices. It quantifies volatility as a widening of the range
between the high and the low price.
You can use in the xPrice1 and xPrice2 any series: Open, High, Low, Close, HL2,
HLC3, OHLC4 and ect...
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
CCI Strategy Reversed Backtest The Commodity Channel Index (CCI) is best used with markets that display cyclical or
seasonal characteristics, and is formulated to detect the beginning and ending of these
cycles by incorporating a moving average together with a divisor that reflects both possible
and actual trading ranges. The final index measures the deviation from normal, which indicates
major changes in market trend.
To put it simply, the Commodity Channel Index (CCI) value shows how the instrument is trading
relative to its mean (average) price. When the CCI value is high, it means that the prices are
high compared to the average price; when the CCI value is down, it means that the prices are low
compared to the average price. The CCI value usually does not fall outside the -300 to 300 range
and, in fact, is usually in the -100 to 100 range.
You can change long to short in the Input Settings
Please, use it only for learning or paper trading. Do not for real trading.
Bandpass Filter Reversed Strategy BacktestThe related article is copyrighted material from
Stocks & Commodities Mar 2010
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
Please, use it only for learning or paper trading. Do not for real trading.
3-Bar-Reversal-Pattern Strategy Backtest This startegy based on 3-day pattern reversal described in "Are Three-Bar
Patterns Reliable For Stocks" article by Thomas Bulkowski, presented in
January, 2000 issue of Stocks&Commodities magazine.
That pattern conforms to the following rules:
- It uses daily prices, not intraday or weekly prices;
- The middle day of the three-day pattern has the lowest low of the three days, with no ties allowed;
- The last day must have a close above the prior day's high, with no ties allowed;
- Each day must have a nonzero trading range.
Please, use it only for learning or paper trading. Do not for real trading.
Custom XABCD Validation and Backtesting ToolOverview:
We hear a lot about Gartleys, bats, crabs and the rest of the barnyard crew, but have you ever wondered what other creatures might be lurking out there yet to be discovered? Well wonder no longer, it's time to find out for yourself! The Custom XABCD Validation and Backtesting Tool allows you to define retracement ratios and targets for your very own patterns.
Tips:
(1) Adjust the patterns entry/stop/target configuration and see how it affects the pattern's backtesting results.
(2) Adjust the weights of pattern score components (% error, PRZ confluence, Point D/PRZ confluence), along with the entry minimum score requirements ('If score is above'), and see how it affects the patterns' results.
Pattern Scoring:
The pattern's score is an attempt to represent the quality of a pattern with a single metric. This is one of the most powerful aspects of the tool because it can quickly tell you whether a trade is worth entering. The score is based on 3 components:
(1) Retracement % Accuracy - this measures how closely a pattern's retracement ratios match your defined theoretical values. You can change the "Allowed ratio error %" in Settings to be more or less inclusive.
(2) PRZ Level Confluence - Potential Reversal Zone levels are retracements of the XA, BC, and/or XC legs. These levels indicate where a potential reversal might occur (i.e. pivot point D). The PRZ Level Confluence component measures the closeness of the two closest PRZ levels, relative to the height of the of the XA leg.
(3) Point D / PRZ Confluence - this measures the closeness of point D to either of the two closest PRZ levels (identified in the PRZ Level Confluence component above), relative to the height of the XA leg. In theory, the closer together these levels are, the higher the probability of a reversal.
While the score is percentage-based, it should not be confused with a probability. A score of 96% does not imply a 96% chance of success. It simply represents the average of the three components mentioned above, weighted according to the defined weight parameters. A score of 100% would mean that (1) all leg retracements match the defined theoretical retracement ratios exactly, (2) all PRZ retracement levels are exactly the same value, and (3) pivot point D occurred exactly at the confluent PRZ level.
Pattern scoring research has been ongoing since I introduced the concept with my Harmonic Pattern Detection, Prediction and Backtesting Tool (see below). So the way that the score is calculated is subject to change based on the results of that research.
BLANK Strategy + TSL + Backtestrange- I often see ppl struggeling do the first own strategy
- this is an example, for a smooth start
- EDIT it to your needs ( DELET my EXAMPELS and add your INPUTS/CONDITIONS)
- i added also a Backtestrange, so you can test your Strategy in different marketphases
- also added a trailing-stop-loss
Marcius Studio® - Cross-Asset Correlator™Cross-Asset Correlator™ — a pair-trading strategy that identifies correlation breakdowns between two assets and captures profit opportunities from market inefficiencies.
The strategy enters trades when the correlation drops below a set threshold and closes positions once correlation recovers.
The main concept is to exploit temporary divergence between two assets by going long the stronger one and short the weaker one, aiming to profit when their correlation reverts.
Important : This script illustrates asset correlation concepts for educational purposes only. It's not for live trading—requires adjustments and offers no performance guarantees. Always apply risk management.
TradingView Limitation
By default, TradingView’s built-in Strategy interface does not support backtesting with two different assets .
To overcome this, the script is implemented as an indicator with a fully custom backtesting engine that calculates PnL, trades, and performance statistics directly on the chart.
Idea
Markets move in clusters : altcoins follow BTC, memecoins track Solana, L2 projects mirror Ethereum. But correlations aren’t perfect—temporary divergences create pricing inefficiencies.
The logic:
When an asset lags or overshoots its usual correlation, it’s a mispricing opportunity.
Trade the reversion: buy undervalued divergence, sell overextended convergence.
The market eventually corrects, but the inefficiency window allows profit before realignment.
OKX Signal Bot Integration
This script includes a built-in interface for OKX Signal Bot .
It can generate structured JSON alerts (ENTER / EXIT, long / short) and directly manage trades on OKX exchange .
This allows seamless automation of correlation-based strategies without manual order execution.
Note : The OKX Signal Bot (for demo use only) assists with alerts & trade management but does not ensure profits. You are fully responsible for your trades—always apply risk management.
Strategy Parameters
Symbol 1 / Symbol 2 : trading instruments to be analyzed.
SMA Period : smoothing period for price averages.
Correlation Period : number of bars used to calculate correlation coefficient.
Upper Correlation Threshold : level above which trades are closed.
Lower Correlation Threshold : level below which new trades are opened.
percentage_investment (%) : allocation per entry signal (used for OKX integration).
Example Settings OKX:FARTCOINUSDT.P / OKX:PENGUUSDT.P
Timeframe : 1H
SMA Period : 60
Correlation Period : 25
Upper Threshold : 0.9
Lower Threshold : 0.1
percentage_investment : 10%
How the Code Works
Retrieves closing prices of two selected assets.
Calculates correlation coefficient and moving averages.
When correlation breaks below the lower threshold, the script opens a pair trade (long/short depending on SMA relation).
When correlation recovers above the upper threshold, all open trades are closed.
Real-time alerts are generated in JSON format for OKX bots (ENTER/EXIT signals).
Built-in backtesting engine tracks PnL, trades, and statistics (7d / 30d / total).
Visual labels mark entries, exits, and PnL results directly on the chart.
Disclaimer
Trading involves risk — always do your own research (DYOR) and seek professional financial advice. We are not responsible for any potential financial losses.
