senuja jayamanna

Markets move up and down, but price is never “cheap” or “expensive” by itself.
It’s only cheap or expensive relative to a range.

That’s where premium and discount come in.

🔹 Step 1: Define the Range (Most Important Part) use the Fib retracement to do this with settings 0 ,0.5 ,1 enabled 0 and one on the range 0.5 is the 50 % level
🟥And allways consider the market structure shorting in a bullish trend or longing in a down trend comes with a higher invalidation risk🟥
Before talking about premium or discount, you must define a high and a low.

This range can be:

A recent swing high → swing low

A daily / weekly range

A clear impulse move

Once you have a high and low, you now have context.

🔹 Step 2: Split the Range (50% Rule)

Take the midpoint (50%) of the range.

Above 50% = Premium

Below 50% = Discount

That’s it.

📌 Price above the midpoint is considered expensive
📌 Price below the midpoint is considered cheap

🔺 Premium Zone

Premium means price is high relative to the range.

What you do in premium:

Look for shorts

Take profits on longs

Expect distribution

What you avoid in premium:

Blind buying

Chasing breakouts without confirmation

Premium is where smart money sells, not buys.

🔻 Discount Zone

Discount means price is low relative to the range.

What you do in discount:

Look for longs

Accumulate

Expect re-accumulation

What you avoid in discount:

Panic selling

Late shorts

Discount is where smart money buys, not sells.

🧠 Important Truth

Price can stay in premium or discount for a long time.

So:

Premium ≠ instant sell

Discount ≠ instant buy

You still need confirmation.

🔹 PD Arrays (Price Delivery Arrays)

PD Arrays are areas where price reacts repeatedly.
They help you refine entries inside premium or discount.

Think of PD arrays as tools, not signals.

🔸 Common PD Arrays (Simple List)
1. Fair Value Gap (FVG)

Imbalance in price

Often acts like a magnet

Best used in discount for longs, premium for shorts

2. Order Blocks (OB)
3. Liquidity Pools
Equal highs / equal lows
Resting stops
Price loves to sweep them

4. Previous Highs / Lows

Daily high / low

Weekly high / low

Old support / resistance

5. VWAP / Session Opens (advanced)

Used for intraday bias

Institutions track these levels

🔑 How Premium + PD Arrays Work Together

This is the key idea:

Premium and discount give direction.
PD arrays give precision.

Example (Short Setup):

Price is in premium

Price sweeps buy-side liquidity

Price enters a bearish FVG or OB

You wait for LTF confirmation (CHOCH, BOS)

Enter short with structure

Example (Long Setup):

Price is in discount

Sell-side liquidity gets swept

Price taps bullish FVG or OB

LTF shift confirms

Enter long

🚫 Common Beginner Mistakes

Using PD arrays without premium/discount context
Ignoring higher-timeframe range

Context first. Always.

🟥 Key Takeaway 🟥

Premium = look to sell

Discount = look to buy

PD arrays = entry refinement

Confirmation = execution

$ETH

The Zcash Foundation said this week that a years-long investigation by the US Securities and Exchange Commission has ended without any enforcement action, bringing regulatory clarity to one of the crypto industry’s most closely watched privacy projects at a time of heightened volatility for the token.
In a notice published Wednesday, the foundation that the SEC had “concluded its review” of an inquiry tied to “certain crypto asset offerings.”
We are pleased to announce that the SEC has concluded its review and informed us that it does not intend to recommend any enforcement action or other changes against Zcash Foundation regarding this matter. — Zcash Foundation 🛡️
The probe began in August 2023, when the foundation received a subpoena as part of a broader SEC effort to assess whether specific digital asset offerings fell under federal securities laws.
The case was internally designated SF-04569 and remained open for more than two years.Zcash’s Privacy Model Back in Spotlight After SEC Review Closes
The foundation said the outcome reflected its cooperation throughout the process and its focus on operating within existing regulatory requirements.
It added that its work would remain centered on advancing privacy-preserving financial infrastructure. The SEC did not issue a public statement on the matter, but the foundation said it had received confirmation that the review was formally closed.
The decision comes amid renewed market activity around Zcash, with ZEC around $439 on Wednesday, up roughly 13% over the most recent trading period, with 24-hour trading volume climbing more than 30% to about $881 million. Source:
Despite the rebound, the token remains far below its early-cycle peak, trading more than 86% under its all-time high of $3,191 set during the 2017 bull market.
One of the most prevalent aspects of privacy-oriented cryptocurrency has always been the regulatory oversight of such initiatives, which have been based on cryptographic solutions to conceal the information on transactions and remain functional in the open blockchain.
Zcash was introduced in 2016, and it uses zero-knowledge proofs to enable users to transact shielded transactions without the information about the sender, receiver, or amount being disclosed.
That design has put it in the middle of multiple discussions on financial surveillance, compliance, and the boundaries of privacy on-chain many times.SEC’s Zcash Decision Mirrors Evolving U.S. Regulatory Playbook
The SEC’s review of the Zcash Foundation unfolded alongside other inquiries touching the ecosystem.
In past correspondence, the agency analysis from Grayscale Investments on whether ZEC could be classified as a security in the context of its Zcash Trust.
SEC officials have also engaged directly with Zcash founder Zooko Wilcox, including participation in roundtable discussions on privacy technologies and regulatory oversight.
The closure of the Zcash probe also fits into a broader shift in US crypto enforcement since 2025.
Under new leadership and following the appointment of Paul Atkins as SEC chair, the agency has dropped or settled a string of high-profile cases launched during the prior administration.
🚨 Paul Atkins was sworn in as SEC Chairman on Monday, and is expected to have a private ceremony with President Trump at the Oval Office today. — Cryptonews.com (@cryptonews)
Lawsuits against Coinbase and Kraken were dismissed without penalties, investigations into Robinhood’s crypto unit, Uniswap Labs, OpenSea, and Gemini were closed, and a multi-year inquiry into Ondo Finance ended without charges late last year.
While the SEC has continued to pursue cases involving alleged fraud, the pattern has pointed toward a pullback from expansive enforcement actions tied to token classification alone.
The end of the SEC probe arrives during a turbulent moment internally for Zcash, as last week, governance disputes between the Electric Coin Company and the nonprofit Bootstrap escalated into a public split, with core developers leaving to form a new independent entity.
🚨@ Zcash Split Update: slides 16% as Bootstrap blames nonprofit rules, not mission misalignment, or the split — Cryptonews.com (@cryptonews)
That episode briefly weighed on market sentiment, even as network operations continued uninterrupted and project leaders stressed that the conflict did not affect Zcash’s underlying security or privacy guarantees.

For time frames above 15min on trading view min i use timeframs 48 hr or above on heatmap you can use what works best for you
1️⃣ What liquidity actually is
Liquidity = resting orders waiting to be filled.
🟥That includes:
Stop-losses
Liquidation levels
Limit orders
Large passive bids & asks

💡 Price moves to liquidity, not indicators.

Markets exist to:

Match buyers and sellers at size

2️⃣ What a liquidity heatmap shows

A liquidity heatmap visualizes the order book over time.

Bright / yellow / red zones → High liquidity

Dark / blue / empty areas → Low liquidity

Think of it like:

A weather radar for orders

Price is pulled toward “hot” areas because that’s where fills are possible.

3️⃣ Why price is attracted to liquidity

Large players:

Can’t market buy or sell randomly

Need depth

Need stops to fill against

Retail traders leave:

Stops at obvious highs/lows

Breakout entries at resistance

Trend-following orders at the same levels

Result:
👉 Liquidity stacks where charts look “obvious”.

4️⃣ The most important liquidity zones

Liquidity almost always builds at:

🔹 Equal highs / equal lows

Double tops

Range highs

Range lows

🟥These contain:

Stop-losses

Breakout orders

Liquidations

🔹 Previous day / week highs & lows

Institutions watch these religiously.

🔹 Range boundaries

Sideways markets = liquidity farms.

🔹 Round numbers

50k, 60k, 100k, etc.

Humans place orders there → liquidity builds.

5️⃣ How price typically behaves around liquidity

Price usually follows this sequence:

Liquidity builds

Price drifts toward it

Stops / liquidations trigger

Volatility spikes

Direction is decided after the sweep

📌 The move AFTER liquidity is taken is what matters.

Most traders enter before step 3 and get punished.

6️⃣ Liquidity sweep vs breakout (critical difference)
❌ Retail thinking:

“Price broke resistance — bullish!”

✅ Reality:

Price needed liquidity

It swept stops

Now it decides

🟥Signs of a liquidity sweep:

Fast wick into liquidity

Immediate rejection

Volume spike then drop

No continuation

🟥Signs of true continuation:

Liquidity above gets absorbed

New liquidity forms higher

Spot buying confirms

7️⃣ Liquidity heatmap ≠ direction

This is where people mess up.

❌ “There’s liquidity above, price must go up”
❌ “Liquidity below means dump”

Correct view:

Liquidity shows targets, not bias

Direction comes from:

Trend

Spot vs futures activity

Funding

Reaction after liquidity is hit

8️⃣ Combining heatmap with futures data (advanced but powerful)
🟥 (bullish setup):

Liquidity stacked above highs

Funding negative

Futures heavily short

Spot buying steady

Price sweeps below first, then attacks above

→ Short squeeze

🟥 (bearish setup):

Liquidity above

Funding positive

Longs crowded

Weak spot demand

Price sweeps highs and fails

→ Distribution

9️⃣ Common beginner mistakes (avoid these)

❌ Trading toward liquidity without confirmation
❌ Entering before the sweep
❌ Ignoring funding & OI
❌ Assuming liquidity = support/resistance

Liquidity is fuel, not a wall.

🔟 How to actually trade with a heatmap (simple rule)

Wait for three things:

Price hits a liquidity zone

Liquidity is consumed

Market reaction confirms (volume, structure,delta)

If reaction is weak → stand aside
If reaction is strong → that’s your trade
🟥Remember liquidity sweep is when price wickes and reverses a breakout happens if a candle closes above the key level
Patience > prediction