Mako Mining Corp (MAKO) Technical Analysis

Beta, momentum, factor scores, alpha and institutional signals from 13 years of point-in-time data

Price & Returns

Last Price
$10.06
Day Return
-1.28%
Week Return
-8.04%
Month Return
+39.34%
Quarter Return
+22.38%
YTD Return
+73.45%
TTM Return
+129.16%
Market Cap
$0.8M
Mako Mining (MAKO) Technical Signals Commercial
Moving Average Position and DMA Distance
Above 20 DMA Above 50 DMA Above 200 DMA
vs 20 DMA
+3.2%
distance from 20-day MA
vs 50 DMA
+5.8%
distance from 50-day MA
vs 200 DMA
+12.4%
distance from 200-day MA
RSI, ATR and Composite Signals
RSI 14
62.4
Neutral
ATR 14
4.280
average true range
Trend Score
71
trend strength 0–100
Technical signals include distance from the 20, 50 and 200-day moving averages, RSI 14, ATR 14, trend strength score and composite momentum, trend and volatility signals for Mako Mining (MAKO).

Built to support entry and exit timing, trend confirmation and signal generation from the CSIMarket 13-year point-in-time institutional panel.

Used in:
– Systematic trading (signal generation and momentum factor construction)
– Risk management (trend regime identification and volatility-adjusted sizing)
– Quantitative research (cross-sectional technical factor ranking)
– Portfolio monitoring (breakout detection and trend shift alerts)
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To overlay a technical indicator, press the Technical Indicators Icon icon above the chart.

This technical analysis page for Mako Mining (MAKO) presents a two-year candlestick chart with volume and multiple indicators used to evaluate trend, momentum, volatility, and common trading signals.

Use the controls above the chart to overlay indicators (such as ATR, Bollinger Bands, or MACD) and adjust parameters (for example periods and deviations) to match your analysis timeframe.

Mako Mining (MAKO) Average True Range (ATR)

Average True Range (ATR) reflects how volatile Mako Mining stock has been under different market conditions. Periods of elevated ATR often coincide with stronger price swings, while lower ATR values indicate more stable trading environments.

Mako Mining (MAKO) Bollinger Bands

Bollinger Bands are commonly used to analyze range behavior in Mako Mining stock (MAKO). Prices moving near the upper or lower band may highlight areas of relative price extremes within recent trading ranges.

Mako Mining (MAKO) Moving Average Convergence Divergence (MACD)

This technical analysis chart applies MACD to Mako Mining (MAKO) stock to support evaluation of trend momentum and overall market direction.

MAKO $9.7000 $-0.3600 -3.58% Volume: 32,834 Open: $9.70 52 Wk Avg: $6.93
Mako Mining (MAKO) Market Structure and Quant Factors Commercial
Price Momentum and Relative Strength vs U.S.A. 500, U.S.A. Tech and Small 2000
1-Month
+6.3%
price return 1 month
3-Month
+14.1%
price return 3 months
6-Month
+22.7%
price return 6 months
12-Month
+38.4%
price return 12 months
vs U.S.A. 500
+3.1%
relative to U.S.A. 500
vs U.S.A. Tech 100
-2.4%
relative to U.S.A. Tech 100
vs U.S.A. Tech
+1.8%
relative to U.S.A. Tech
vs Small 2000
+5.2%
relative to Small 2000
Market Beta vs U.S.A. 500, U.S.A. Tech 100, U.S.A. Tech and Small 2000
Beta (U.S.A. 500)
1.24
vs U.S.A. 500
Corr (U.S.A. 500)
0.82
rolling correlation
Alpha Generation vs U.S.A. 500 and Sector
Alpha 1Y (U.S.A. 500)
+3.4%
excess return vs U.S.A. 500
Alpha 3Y (U.S.A. 500)
+1.8%
annualized 3-yr alpha
Information Ratio
0.67
alpha / tracking error
Quant Factor Scores: Size, Value, Quality, Momentum and Liquidity
Size
0.32
size percentile
Momentum
0.81
momentum percentile
Low Vol
0.62
low volatility percentile
Liquidity
0.88
liquidity percentile
Composite Score
72.4
factor score 0–100
Cross-Sect. Rank
284
rank within universe
Volatility, Drawdown and Risk-Adjusted Returns
Realized Vol
18.4%
annualized
Vol 30d
17.2%
annualized
Vol 90d
19.8%
annualized
Vol 1Y
22.1%
annualized
Downside Vol
12.7%
annualized
Semi-Var 1Y
9.8%
downside variance
Max DD 1Y
-18.3%
peak-to-trough 1Y
Max DD 3Y
-31.4%
peak-to-trough 3Y
Sharpe 1Y
1.42
risk-adjusted return
Sharpe 3Y
1.18
risk-adjusted return
Sortino 1Y
2.07
downside-adjusted
Calmar 1Y
0.83
return / max DD
Ulcer Index
6.2
drawdown depth/duration
Tail Risk
3.1
score 0–100
Stress Score
4.8
score 0–100
Neg Return %
42.1%
fraction of down days 1Y
Institutional Ownership and Short Interest
Days to Cover
1.8
short ratio (FINRA ADV)
Trading Liquidity and Average Daily Volume
Dollar Volume
$245M
daily $ trading activity
ADV 50d
$218M
50-day avg dollar vol.
Turnover Rate
0.412%
daily share turnover
Amihud Illiq.
0.00004100
price impact per $1M vol
Risk Scores: Crash Probability, Bubble Risk and Systemic Exposure
Crash Risk
12.3
score 0–100
Market Stress
15.2
score 0–100
Market Regime Classification
Risk Regime
Normal
current regime
Volatility Regime
Calm
current regime
Momentum Regime
Rising
current regime
Market structure analytics include multi-index beta and correlation vs U.S.A. 500, U.S.A. Tech 100, U.S.A. Tech and Small 2000, alpha generation, nine quant factor scores (size, value, quality, momentum, low volatility, liquidity, growth), institutional ownership, short interest, trading liquidity, market risk scores and regime classification for Mako Mining (MAKO).

Built to support factor-based positioning, risk attribution and portfolio construction from the CSIMarket 13-year survivorship-safe institutional quant panel.

Used in:
– Factor investing (construct size, value, momentum and quality signals)
– Risk management (beta exposure, crash risk and systemic risk scoring)
– Institutional onboarding (ownership structure and float analysis)
– Credit and due diligence (liquidity tier, borrow cost and short interest)
– Quantitative modeling (cross-sectional ranking, alpha attribution and regime detection)
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Access this full dataset via API Free sample → Full docs → All endpoints →

Mako Mining Stock Split History

SPLITS
Split Date Ratio Type Share Effect
Mar 8, 2023 0.100:1 Forward Fractional share adjustment - price adjusted down

Stock splits do not change the total value of your holdings - they adjust the share count and price proportionally.

Technical Indicators Explained

View explanations of technical indicators used on this chart

Commodity Channel Index (CCI)

CCI measures the gap to a Moving Average, helping detect the beginning and the end of market trends. The CCI is calculated as the difference between the price of a stock and the average stock price over a specified period. The result is then compared with the average difference over the period (Period (days):).

Values between +100 and -100 indicate a sideways market. Bullishness is confirmed when the index crosses +100 while dipping below -100 indicates bearishness in the market.

Stochastic Oscillator

Stochastic Oscillator is a indicator that shows the location of the current stock price close relative to the high/low range over a set number of periods. Closing levels that are consistently near the top of the range indicate accumulation "buying pressure" and those near the bottom of the range indicate distribution "selling pressure".

There are two types of Stochastic Oscillators: Fast and Slow.

Readings below 20 are considered oversold and readings above 80 are considered overbought.

The number of periods can be changed to best suit a particular stock and time frame. Period: , Period2 :

Money Flow Index (MFI)

The Money Flow Index (MFI) is used to measure the strength of money flowing in and out of a stock.

The MFI helps identify market tops and bottoms. A value above 80 signals a possible top, and a reversal may be in order. Conversely, a value below 20 indicates a possible market bottom.

The MFI is also used to identify divergence. If the stock price trends upward or hits a new significant high but the indicator trends downward or does not reach a new high, there may be a potential reversal on the horizon.

Money Flow

Money Flow is used to measure the strength of money flowing in and out of a stock.

A value above 1 signals money flowing into stock. Conversely, a value below 1 indicates money flowing out of stock.

The number of periods can be changed to best suit a particular stock and time frame. Period (days):

 

Accumulation/Distribution Line

Accumulation/Distribution Line assess the cumulative flow of money into and out of a Stock.

The signals for the Accumulation/Distribution Line are fairly straightforward and center around the concepts of divergence and confirmation.

A bullish signal is given when the Accumulation/Distribution Line forms a positive divergence.

A bearish signal is given when the Accumulation/Distribution Line forms a negative divergences

As a volume indicator, the Accumulation/Distribution Line will help to determine if the volume in a stock is increasing on the advances or declines.

Chaikin Money Flow (CMF)

Chaikin Money Flow oscillator is calculated from the daily readings of the Accumulation/Distribution Line. The basic premise behind the Accumulation Distribution Line is that the degree of buying or selling pressure can be determined by the location of the close relative to the high and low for the corresponding period (Closing Location Value). There is buying pressure when a stock closes in the upper half of a period's range and there is selling pressure when a stock closes in the lower half of the period's trading range.

The first and most obvious signal. If the Chaikin Money Flow is greater than zero. It is an indication of buying pressure and accumulation when the indicator is positive.

The second item: determine how long the oscillator has been able to remain above zero. The longer the oscillator remains above zero, the more evidence there is that the security is under sustained accumulation. Extended periods of accumulation or buying pressure are bullish and indicate that sentiment towards the security remains positive.

The third indication: the actual level of the oscillator. Not only should the oscillator remain above zero, but it should also be able to increase and attain a certain level. The more positive the reading is, the more evidence of buying pressure and accumulation.

The number of periods can be changed to best suit a particular stock and time frame. Period (days):

Adx

Average Directional Index ADX is used to determine a stock price trend's strength regardless of whether it is up or down. ADX is derived from the relationship of the DMI (Directional Movement Indicators) lines.

The number of periods can be changed to best suit a particular stock and time frame. Period (days):

Williams %R

Williams %R, shows the relationship of the stock price close relative to the high-low range over a set period of time. The nearer the close is to the top of the range, the nearer to zero (higher) the indicator will be. The nearer the stock price close is to the bottom of the range, the nearer to -100 (lower) the indicator will be. If the close equals the high of the high-low range, then the indicator will show 0 (the highest reading). If the close equals the low of the high-low range, then the result will be -100 (the lowest reading).

The scale ranges from 0 to -100 with readings from 0 to -20 considered overbought, and readings from -80 to -100 considered oversold.

The number of periods can be changed to best suit a particular stock and time frame. Period (days):

Chaikin Oscillator

The Chaikin Oscillator is simply the Moving Average Convergence Divergence indicator (MACD) applied to the Accumulation/Distribution Line.

The formula is the difference between (Period:) the 3-day exponential moving average and (Period 2:) the 10-day exponential moving average of the Accumulation/Distribution Line.

There are two bullish signals that can be generated from the Chaikin Oscillator: positive divergences and centerline crossovers. Because the Chaikin Oscillator is an indicator of an indicator, it is prudent to look for confirmation of a positive divergence, by a bullish moving average crossover for example, before counting this as a bullish signal.

There are two bearish signals that can be generated from the Chaikin Oscillator: a negative divergence and a bearish centerline crossover. Allow a negative divergence to be confirmed by a bearish centerline crossover, before a bearish signal is rendered.

On Balance Volume (OBV)

The concept behind the indicator: volume precedes price. OBV is a simple indicator that adds a period's volume when the close is up and subtracts the period's volume when the close is down.

A cumulative total of the volume additions and subtractions forms the OBV line. This line can then be compared with the price chart of the underlying stock to look for divergences or confirmation.

A rising volume can indicate the presence of smart money flowing into a stock.

A rising (bullish) OBV line indicates that the volume is heavier on up days. If the stock price is likewise rising, then the OBV can serve as a confirmation of the price uptrend. In such a case, the rising price is the result of an increased demand for the stock, which is a requirement of a healthy uptrend.

If stock prices are moving higher while the volume line is dropping, a negative divergence is present. This divergence suggests that the uptrend is not healthy and should be taken as a warning signal that the trend will not persist.

Percentage Volume Oscillator (PVO)

The Percentage Volume Oscillator (PVO) is the percentage difference between two moving averages of volume. (Period) & (Period 2)

The PVO can be used to identify periods of expanding or contracting volume in three different ways

Centerline Crossovers: like the PPO, the PVO oscillates above and below the zero line. When PVO is positive, the shorter EMA of volume is greater than the longer EMA of volume. When PVO is negative, the shorter EMA of volume is less than the longer EMA of volume. A PVO above zero indicates that volume levels are generally above average and relatively heavy. When the PVO is below zero, volume levels are generally below average and light.

Directional Movement: General directional movement of the PVO can offer a quick visual assessment of volume patterns. A rising PVO signals that volume levels are increasing and a falling PVO signals that volume levels are decreasing.

Moving average crossovers: When PVO moves above its signal line (Period 3), volume levels are generally increasing. When PVO moves below its signal line, volume levels are generally decreasing.

Percentage Price Oscillator (PPO)

The Percentage Price Oscillator is found by subtracting the longer moving average from the shorter moving average and then dividing the result by the longer moving average.

Within Period:, Period 2:, Period 3: user can define the periods used to calculate Percentage Price Oscillator.

 

Momentum (MTM)

The Momentum indicator is used to predict future trends on recent stock price action.

When momentum is above the 100-line and rising, prices are increasing at an increasing rate. If momentum is above the 100 line but is declining, stock prices are still increasing but at a decreasing rate.

On the other hand, when momentum is below the 100-line and falling, stock prices are decreasing at an increasing rate. If momentum is below the 100 line but is rising, stock prices are still declining but at a decreasing rate.

Within Period:, Period 2: user can define the periods used to calculate Momentum.

Rate of Change (ROC)

The Rate of Change (ROC) indicator is similar to momentum, a oscillator that measures the percent change in stock price from one period to the next.

When ROC is above the 0-line and rising, prices are increasing at an increasing rate. If ROC is above the 0 line but is declining, stock prices are still increasing but at a decreasing rate.

On the other hand, when ROC is below the 0-line and falling, stock prices are decreasing at an increasing rate. If ROC is below the 0 line but is rising, stock prices are still declining but at a decreasing rate.

Within Period (days):, Period2 (days): user can define the periods used to calculate ROC.

Moving Average Envelopes

A simple moving average line can be enhanced by surrounding the line pattern with parallel envelopes. These envelopes deviate from the the moving average line by a user-specified percentage (Percent (%)) in order to determine when stock prices have strayed from the moving average line by that percentage.

Keltner Channels (KC)

Keltner Channels are 2 lines (upper and lower), suggesting that prices have the greatest probability of trading within the boundaries set by the upper and lower lines. Stock Prices that fluctuate outside of these borders represent trading opportunities.

Within Period (days): user can define the period used to calculate Keltner Channels.

Moving Average

A simple moving average is formed by computing the average price of a stock over a specified number of periods (Period (days)). Moving averages are one of the most popular and easy to use tools available to the technical analyst. They smooth a data series and make it easier to spot trends, something that is especially helpful in volatile markets.

Price Channels

Price channels form boundaries above and below the stock price line and can be used as indicators of volatility. Stock Price channels are created by specifying a number of periods that will chart an (Period (days)) high or low around the price line.

Price channels can generate buy/sell signals at points of breakouts. When the stock price line breaks above or below the upper or lower price channel respectively, a new high or low becomes present.

Exponential Moving Average

Exponential Moving Average (EMA) reduces the lag in simple moving averages by applying more weight to recent stock prices relative to older stock prices. The weighting applied to the most recent stock price depends on the specified period of the moving average. The shorter the EMA's period (Period (days)), the more weight that will be applied to the most recent stock price.