MFI Strategy with Oversold Zone Exit and AveragingThis strategy is based on the Money Flow Index (MFI) and aims to enter a long position when the MFI exits an oversold zone, with specific rules for limit orders, stop-loss, and take-profit settings. Here's a detailed breakdown:
Key Components
1. **Money Flow Index (MFI)**: The strategy uses the MFI, a volume-weighted indicator, to gauge whether the market is in an oversold condition (default threshold of MFI < 20). Once the MFI rises above the oversold threshold, it signals a potential buying opportunity.
2. **Limit Order for Long Entry**: Instead of entering immediately after the oversold condition is cleared, the strategy places a limit order at a price slightly below the current price (by a user-defined percentage). This helps achieve a better entry price.
3. **Stop-Loss and Take-Profit**:
- **Stop-Loss**: A stop-loss is set to protect against significant losses, calculated as a percentage below the entry price.
- **Take-Profit**: A take-profit target is set as a percentage above the entry price to lock in gains.
4. **Order Cancellation**: If the limit order isn’t filled within a specific number of bars (default is 5 bars), it’s automatically canceled to avoid being filled at a potentially suboptimal price as market conditions change.
Strategy Workflow
1. **Identify Oversold Zone**: The strategy checks if the MFI falls below a defined oversold level (default is 20). Once this condition is met, the flag `inOversoldZone` is set to `true`.
2. **Wait for Exit from Oversold Zone**: When the MFI rises back above the oversold level, it’s considered a signal that the market is potentially recovering, and the strategy prepares to enter a position.
3. **Place Limit Order**: Upon exiting the oversold zone, the strategy places a limit order for a long position at a price below the current price, defined by the `Long Entry Percentage` parameter.
4. **Monitor Limit Order**: A counter (`barsSinceEntryOrder`) starts counting the bars since the limit order was placed. If the order isn’t filled within the specified number of bars, it’s canceled automatically.
5. **Set Stop-Loss and Take-Profit**: Once the order is filled, a stop-loss and take-profit are set based on user-defined percentages relative to the entry price.
6. **Exit Strategy**: The trade will close automatically when either the stop-loss or take-profit level is hit.
Advantages
- **Risk Management**: With configurable stop-loss and take-profit, the strategy ensures losses are limited while capturing profits at pre-defined levels.
- **Controlled Entry**: The use of a limit order below the current price helps secure a better entry point, enhancing risk-reward.
- **Oversold Exit Trigger**: Using the exit from an oversold zone as an entry condition can help catch reversals.
Disadvantages
- **Missed Entries**: If the limit order isn’t filled due to insufficient downward movement after the oversold signal, potential opportunities may be missed.
- **Dependency on MFI Sensitivity**: As the MFI is sensitive to both price and volume, its fluctuations might not always accurately represent oversold conditions.
Overall Purpose
The strategy is suited for traders who want to capture potential reversals after oversold conditions in the market, with a focus on precise entries, risk management, and an automated exit plan.
MFI
Compound Indicator Strategy - BTC/USDT 3hThis is an Strategy finds and utilise end points of short term market trends and this is a combination of many indicators such as
1. Volume change oscillator
2. Money flow index ( MFI )
3. Momentum Oscillator (MOM)
4. Stochastic Indicator
6. Relative Strength Indicator ( RSI )
7. Relative volatility index (RVI)
8. Balance of power (BOP)
9. Small moving average ( SMA )
10. Exponential moving average ( EMA )
11. Parabolic SAR
12. Super trend indicator
this script forms a compound indicator after analysing movements of those indicators through different time frames and measure its co-relation and variance with the price action. buy doing that, indicator in a position to identify short term market reversals and presented.
after generating a common indicator, it evaluates standard deviation and standard variance with currant market price action and generates a buy and sell signals. you can determine your own trading method based on available options.
MFI Simple StrategyHere I've made a simple strategy based off a simple moving average of an MFI length.
Back tested on a BYBIT:BTCUSDT 30m chart.
Conditions:
---When the price is above the golden SMA of 200 bars---
- Buy: when MFI is moving up
- Sell: when MFI is moving down
- Stop: golden SMA of 200 bars
If you would like alerts:
1.) Add the strategy to your chart,
2.) Go to "Create Alert",
3.) Select "MFI Simple Strategy" in your alert creator,
4.) Select whatever notifications settings or message settings,
5.) Finally, click "Create" and you're good to go.
Disclaimer: Please do your own research before making any decisions financially. Past results do not guarantee future results.
Kifier's MFI/STOCH Hidden Divergence/Trend BeaterMFI/STOCH Hidden Divergence/Trend Beater
General Idea:
My premise around this strategy was to make a general strategy for crypto that would help out with finding entry positions for when you’re bullish on a crypto and want to hold on for a while, and at the same time avoiding massive drops. Essentially a way to mix long term/ swing trading; I somewhat achieved my goal however it still requires a lot of logic tuning of the trend averages.
I’m a huge proponent of volume indicators and coupled with average closing price, I think this gives a really good idea of what is happening with the market. It gives an idea on the market and retail investor sentiment. This generally gives you logical entry positions (Although I don’t know how amazing that will work with all cryptos, there’s a fine line between a good strategy and one that just rides bubble market conditions, some would argue that’s still a success and others not)
How it works:
There are many components to the strategy that try to do different things:
First of all there are two types of entries, a MFI hidden divergence with a STOCH check, essentially it will only fire when a divergence is detected while STOCH is above 50%, however this might be changed in the future as due to the volatile nature of cryptos, the STOCH is not too effective. The second entry is a simple MFI/STOCH trend, if STOCH is above 50% and the trend is detected to be in a trending long, once a MFI crossover over the 50% line is detected an entry is placed, this is designed to get out profit where the divergence would otherwise be less accurate during strongly trending conditions.
-MFI is a great indicator, as a volume weighted momentum indicator I find it the most accurate of all, the STOCH however is a great indicator to get a general picture of simple market conditions and can filter out the emotional noise of retail investors.
-VWMA and an SMA (The bottom oscillator) gives an idea of the trend tacking into account of the volume, this serves as a more short term filter of the trend for filters.
-OBV checks are done between the OBV and an EMA of the OBV, to get the idea of a volume weighted long trend, which is important for crypto as there are massive rallies to go up due to retail greed, it’s great to jump onto it at the beginning, and get off before the stack of cards fall apart.
-ATR is used to detect when the market is relatively just ranging or moving sideways, which is where the hidden divergence entries are done, during predictable and profitable market conditions.
- Stop loss is based on the closest support of the entry, this is a nice medium of room to breath but also an actual stop loss.
Future plans and improvements:
Currently there’s a lot I want to improve, mostly the divergence detection and the overall sharpe ratio could be much better, but the current value of 0.5 gives me hope that the strategy is onto something. I also want to change TP from a percentage stop to something more dynamic but that might be too optimistic. The current plan is to paper trade test this either by manual or by a python bot, to see how it performs with some user input as well.
VWMA with kNN Machine Learning: MFI/ADXThis is an experimental strategy that uses a Volume-weighted MA (VWMA) crossing together with Machine Learning kNN filter that uses ADX and MFI to predict, whether the signal is useful. k-nearest neighbours (kNN) is one of the simplest Machine Learning classification algorithms: it puts input parameters in a multidimensional space, and then when a new set of parameters are given, it makes a prediction based on plurality vote of its k neighbours.
Money Flow Index (MFI) is an oscillator similar to RSI, but with volume taken into account. Average Directional Index (ADX) is an indicator of trend strength. By putting them together on two-dimensional space and checking, whether nearby values have indicated a strong uptrend or downtrend, we hope to filter out bad signals from the MA crossing strategy.
This is an experiment, so any feedback would be appreciated. It was tested on BTC/USDT pair on 5 minute timeframe. I am planning to expand this strategy in the future to include more moving averages and filters.
Combo Backtest 123 Reversal & Market Facilitation Index This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The Market Facilitation Index is an indicator that relates price range to
volume and measures the efficency of price movement. Use the indicator to
determine if the market is trending. If the Market Facilitation Index increased,
then the market is facilitating trade and is more efficient, implying that the
market is trending. If the Market Facilitation Index decreased, then the market
is becoming less efficient, which may indicate a trading range is developing that
may be a trend reversal.
WARNING:
- For purpose educate only
- This script to change bars colors.
Growth Producer
Applicable to FTX:ETHPERP 15 min
Relative volatility index (RVI) that will determine the entry and exit points only when the volatility will start to increase and Money Flow index as an additional point for entry.
IMPORTANT
• Input Partial take profits in your Bot settings
• This is a trend strategy and works better in the trending market
• We added the trend identifier using the EMA and SMA interaction
• We added Take profit and stop loss levels
• We added inputs for the period selection, so you could see how the strategy is performing on a monthly basis.
• RVI for the entry conditions
• MFI was added for the additional entries.
• Partial Take-profits
CCU MFI + RSI + STOCH RSIThis demonstrates the accuracy of entry signal of the MFI + RSI + STOCH RSI strategy
SuperC BF 🚀Based on some code from noro and kiasaki - thank you.
A Super Trend is a trend over a long period of time. There are lots of existing scripts that generate signals based on the overall direction of an instrument. What if we combined this idea with a measure of Money Flow and added a filter to try to avoid choppy sideways action?
I started with a super trend foundation and added an MFI calculation to account for volume flowing into and out of the asset. Then added a Rate of Change function to stay out of trades when there is not much up/down movement.
INSTRUCTIONS
Bright green background = go long
Bright red background = go short
COLOR OVERVIEW
A white background means we don't trade
A green background means we have a long condition
A red background means we have a short condition
The cloud is green when we have a long condition, red when we have a short condition.
The cloud is yellow if we should be in a long already but the current candle is not satisfying all long conditions.
The cloud is orange if we should be in a short already but the current candle is not satisfying all short conditions.
The line at the bottom is MFI - this is green when the current candle is greater than the last, red when it is less than the last.
SIGNAL GENERATION
A long condition is when MFI > MFI AND we are not in a choppy market AND when price is above the super trend.
A short condition is when MFI < MFI AND we are not in a choppy market AND when price is below the super trend.
We use a fixed Stop Loss of 2% here on the daily timeframe for XBT/USD.
If we get stopped out from a long and we still have the conditions for a long, we re-enter. Same for short.
Gaussian MFI BFThe signals are based on the Gaussian Channel calculated by Donovan Wall. Thanks also to Kiasaki for Rate of Change code.
Simply going long and short based on Gaussian channel was not consistent enough so I also included an MFI filter. We only go long if Money Flow Index is greater than the last candle (more money is flowing in than out). The opposite for short. Also employed Rate of Change function (white background) to avoid sideways market.
A 2% stop loss seems to be the most balanced for this strategy but can can altered in the settngs.
Also included a take-profit function but it seems this is best not implemented for this strategy, at least in the case of XBT/USD.
A derivative of The MFI is also plotted on the chart simply to compare the current candle with the last candle visually.
Background color:
Green = Long
Red = Short
White = No Trade
Multifactor Inverse Fisher Strategy (ps4)Best for higher time frames - 30m, 1H, 2H, 3H, 4H, D this strategy uses several factors that are pushed through an Inverse Fisher Transform (IFT). The higher the TF, the better the performance, up to 98%, but the number of deals tends to drop). Middle time frames (5m, 15m) look viable with Scaled Price (Scaled %P) and MFI factors. The factor list can be extended to include cci, stoch, rsi_stoch, emo, macd, cog, dpo, roc, accdist, cctbb, mom, awesome, tva, etc. Some of them need to be rescaled to a 0..100 interval. The IFT produces a value in the -1..1 interval (see: www.mesasoftware.com). This indicator does NOT repaint.
Market Facilitation Index (MFI) Backtest The Market Facilitation Index is an indicator that relates price range to
volume and measures the efficency of price movement. Use the indicator to
determine if the market is trending. If the Market Facilitation Index increased,
then the market is facilitating trade and is more efficient, implying that the
market is trending. If the Market Facilitation Index decreased, then the market
is becoming less efficient, which may indicate a trading range is developing that
may be a trend reversal.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Gidra's RSI or MFI Strategy v 0.1Strategy based on Gregg_s indicator RSI or MFI (ru.tradingview.com)
When crossing above 0 - close short, open long
When crossing below 1 - close long, open short
For crypto/fiat and any timeframe
Sb_Rate_Of_Change_BB_Band_strategy Version 1.0The strategy couples the concept of rate of change along with the Bollinger bands.
Along with it LazyBear's RSI/MFI with Volatility Indicator is also taken to reduce the number of trades and improve efficiency.
Strategy (in Layman terms):
If in the past 10 candles RSI/MFI with Volatility Indicator has printed a red/green colour and the roc has gone above/below the Bollinger bands then the short/long order is placed respectively.
Message if you think of any modifications/ enhancements/ any opportunities. :)
Donations/Tips... :) -
BTC: 1BjswGcRR6c23pka7qh5t5k56j46cuyyy2
ETH: 0x64fed71c9d6c931639c7ba4671aeb6b05e6b3781
LTC: LKT2ykQ8QSzzfTDB6Tnsf12xwYPjgq95h4
[STRATEGY][RS]MarxBabu 4 Oscillators V0EXPERIMENTAL:
fixed some mixed signals :p
request for MarxBabu.
