# Oracle System

## pyth.Network

[Pyth Network](https://docs.pyth.network/home) price feeds provide real-time financial market data to smart contract applications on 50+ blockchains. Pyth's market data is contributed by over 95 [reputable first-party data providers(opens in a new tab)](https://pyth.network/publishers/), including some of the biggest exchanges and market making firms in the world. Each price feed publishes a [robust aggregate](https://docs.pyth.network/price-feeds/how-pyth-works/price-aggregation) of these prices multiple times per second. The protocol offers over [450 price feeds(opens in a new tab)](https://pyth.network/price-feeds/) covering a number of different asset classes, including US equities, commodities, and cryptocurrencies.

Pythnet Price Feeds are available on [40+ blockchain ecosystems](https://docs.pyth.network/price-feeds/contract-addresses), and can also be used in off-chain applications. For the DMC we use the off-chain solution to bring the feed to DMC.

<div align="left"><figure><img src="https://818569863-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9bIWFEpTRsZsxzgy7W4L%2Fuploads%2F388ZqzE8xFeauuzGcznS%2Fpyth.png?alt=media&#x26;token=1c89ea7c-e586-4f6f-a02b-c2ceee2a958f" alt=""><figcaption></figcaption></figure></div>

## Contracts

{% tabs %}
{% tab title="Testnet" %}
[0x1264C5e3b88996E3d0C3f8F62E293C16CCA99C31](https://blockscout.testnet.ocean.jellyfishsdk.com/address/0x900eD05e6c662D1A410d75A9ec30840647B4F1B0)
{% endtab %}

{% tab title="Mainnet" %}
[0xFC3db2838Dd3b6387e22BE452b5A6d0FB96cbd02](https://blockscout.mainnet.ocean.jellyfishsdk.com/address/0xFC3db2838Dd3b6387e22BE452b5A6d0FB96cbd02)
{% endtab %}
{% endtabs %}

## Prices

The prices can be requested by calling the method&#x20;

```solidity
 function getPrice(bytes32 id) external view returns (IJavPriceAggregator.Price memory price) {
        return _latestPriceInfo[id];
    }
```

The main IDs are provided by the pythNetwork and can be found here: <https://pyth.network/developers/price-feed-ids>

At example the id for BTC/USD is:&#x20;

```
0xe62df6c8b4a85fe1a67db44dc12de5db330f7ac66b72dc658afedf0f4a415b43
```

### EMA for prices

The Exponential Moving Average (EMA) is a technical indicator used in trading practices that shows how the price of an asset or security changes over a certain period of time. The EMA is different from a simple moving average in that it places more weight on recent data points (i.e., recent prices).&#x20;

```
calculateEMA(currentValue, previousEMA) {
    const smoothingFactor = 2 / (emaPeriod + 1);
    const ema = (currentValue - previousEMA) * smoothingFactor + previousEMA;
    return ema;
}
```

### Javsphere Prices and IDs

We added additional ids and feeds which are not provided by Pyth

#### DMC

```markup
DFI:0x12635656e5b860830354ee353bce5f76d17342f9dbb560e3180d878b5d53bae3
JAV:0x2c14b4d35d0e7061b86be6dd7d168ca1f919c069f54493ed09a91adabea60ce6
DUSD:0xb3b9faf5d52f4cc87ec09fd94cb22c9dc62a8c1759b2a045faae791f8771a723
```

#### Defichain DEX

```markup
EEM:0x18a288a6c537025fddff7693129bcacac5374a3ebb3c5f3e91ee044a09dffb48
NVDA:9336f35d787146964ab415cab7a5b2c3f936c6a2e0663976f8069733866f7c71
COIN:0x9d2be4d814008c806d5496b25de37a50b69cf147de684c834d58cf2f3c4cd4d2
MSFT:0x9b391aa1df448548f6099f22aa6a899ff1178600d1bfe0789bd9836611f5b341
NFLX:0x998727036cef636efcff9f2bd73d90101c8c56b18e1aae1acea02484e5a9c372
VOO:0x47252fceb0a12d0509e7e488d7ab7397e055581bedcf50f30f67a8a2898a65de
FB:0xbfa7653c073665187d9b8c0eece426e3e26d3d9edaf393c30372b7dbecd111e9
DIS:0xa6808654ee52eeec740ffa7984b22f0ecddf211c4a5bc24283d72ad5a6e532eb
MCHI:0x6045beda30c426026cb67390f249a6164a90bb94e2a3b00e7df28e08b2fe4eec
MSTR:0x4eea3fac809cb4fc1ee8ecad7982610d7a55429bd770d5ed2093dab514e1f84b
INTC:0xa56ea18280ae811feedc252e67a75d3b9ba562ef0e472ec808e8725e2f748268
PYPL:0x954c15a6d8be4bca47515cec8f83205f9428d2c8212da34fef41e37e631e3e37
BRK.B:0x3218b05707eb82b65ac04df9285c29fe07ccd83b95236a859929223c6c9c8141
PG:0x471f8d2f32851a192681db555b71834c2ef7f5a23fb56c80db95d84f343658a0
KO:0x6358cc89bcd8894bc9e2e6a21488600d46e680b772b694074ec377b92996f6a5
SAP:0xf0fce6e29771bc6d928045015d2a3979b9e0833423ede8d8fa9b01286fbe2d92
GSG:0xf6bf0f66cbaf459affe9693621af3de26903dad4dbbf7671c25c3c096f2b198f
URA:0x69cf565ae91a47ea6acc1e57a2d8d83248a5113c389f1b1e5e62f5829edc2a9a
CS:0xa27fe74625701a0918639976af757fa5be877c55ce273208e563fa1b6fd543c5
AMZN:0xb929750896550d830ce9a44485a256741d3fae9abf5db289e87934b920767807
PPLT:0x56daba1efba714b750289fca8bd7b37dcae443ce00c5c903fa271d924299460f
TAN:0x0e0c932ed0c0d3e68a51bd902af4066c1a272ee89a9108bf17c8698660b83e16
XOM:0xdf2d6d066f8efe655da21011329af4e7880bf815595527a6fe16065248caa068
GOVT:0x0b7116924b924ad6959a8d0613a48f0be8dffdcc32f21010a8209d24e68425a2
GOOGL:0x95df5343c0b2c600c51ac6890472e92a9269f14e4be38b175de5a26c3ff7c385
USDT:0x5b56544cc06527ac8813c412df8bdc4f35ed64cdf6eaa38e730561e54dfc500e
USDC:0x805f69f2c7e7ab67b1b1d001763d208e970bc3bf4a894b982a11742ef2d8d66b
GME:0xbf644bcbeda048df7649ed21ac2fa9c875a2dc510a6650010a2df9da327fd6c4
DAX:0x089c3cbb19fa1854ccf382334c9da7711636fd1672dc911e601d4a167a773a46
JNJ:0xf9cb9276a1d3c7c733ac0ba7c7004121689c327de50629d45a3e4ee23060a654
ADDYY:0x673810f28eb39c1f6981c9840548800c3e07c8274b6847c3786285409d6f70d1
GS:0xff392ea1559d6493a881b421a3d3f55b810adbefc336a748dddf23af6693f5fb
TSLA:0xb4fb5c5b61599bb8109b5670314de8ab11eff17a55bf84ece7cbc8a0418b33b8
WMT:0x8fee79d00ae9a07efa7f128aface08609bb69dfe83f395c7cf72ea1b1bd290e0
UL:0x3f07c81d5d32f534d1599626d166c4b4e5daa19101596c01efd152cf7b0794dc
UNG:0x43fd995abfdf539b4c2e3568f32cdb17dacaabf15d1f6c8f163899e6a12d0c53
USO:0x1d7f0d1ebde3ed92981ba38edf6938d0d99c7325ff3a70c8ef3a8a3a381006dc
ARKX:0xd8803e9181c8cdd4d5da3975525805b51b610d9ae67244c3e71d50ed40c3e54d
XLRE:0xe3cdb9112458e5786ef1b33bb60bd14ed01d9876e996c441015f537b6c415108
VBK:0x5b16f5171b312531e11d3508e96430b280d94b3e97f417d4e47a47b4606c7c2a
XLE:0x9c142a6f3ef151381bfd21c725619eed4c03b63f0c8bf8de8e413c4a8e999543
NSRGY:0xdb21e0b99db471fd33b98b405ebeb33fc92500f352b4c0809944674831d3661b
SHEL:0x500fcb31d7a791639ab89d7cab21c3d420d2afc980b504ebe7da4741ce3a8dcb
SH:0x7234230ff6140784c62f36a5a73862b2c236cf8ba0691e27ccd2f23de2636a59
BITI:0x37ac9fc8545cc7a501049be1442372b8a3ee5150a07ea2d5c15ade1d8657fa92
EUROC:0x095a6b9183168464aa30b5c7b9b96d3b8ae3592105b9305553d2d4291e7d38ea
XCHF:0x11016a9fab52db2f214f1fbb32fa7a3d0f0d6db9142b55baa8dc469e24a4d9ed
TBF:0x82131fa4db0e5fb4f15a3378a0e5624020f8831fdddea5cec017c531baedce97
PSQ:0xfeeb274ea8fc713f76359ba32129bf46a6d3800cfe8934f8b4ef3b2911576754
TSLS:0x90db56ca286f9e86e537659b5b5a7372748b2b32df956b8ad3f3a242584503d0
SCO:0xfe37218cd8acff48d338c5694a4a6db51b3710c076714953e9149866287fc130
ABNB:0x8e868119e9cfef76991dbea76cc31d1301405dffc7d51fde4fba29d05b46ab1b
BKNG:0x0579b49727f17608e1b57fd3e81ee5d67c9dcb1c0b9a7f5d12b68c634764f0a0
JPM:0x858ae46626cacb319e8e30b4c2fe173936a374d39a36d1534466d0da1bb67cba
AI:0x0c64b2ef43d8c67d5b775231225da4468d006bb1878daaf673e75ec2dd788f66
GLNCY:0x829b24908d6a9afb13b30f92f5f5eec9063cc7ab22f6a2957cdbdfd6d41b7fec
MCD:0x07ccad0bc9532ce39fe74f207dbe2b0172a6641cddebf273bf06f73fa6ff0b97
PFE:0xdd7f9d26417dc903ff2ba1b190eb8d8e391e1a46c9124ab4076d0c70c23a35d2
SBUX:0x50eb11f64bd93ea34fb566b765b65e426ee7bf775d7695154fce1fa59f4c12e9
UBER:0x6b2d6be8bc5d516dfc7b14cacb88187f7981cf25cd45f6d40ece6a9a985db178
UPS:0xb62821151198c0d881df04d7f8de696767d2bf7e7555e21c6570d6cb28f9f89d
V:0xb222bea0673ae534d86574d4542fbeb6a3b5f3ad720fde407a0fb3a00a14bde7

ASML:0x735ca6e16e5a4256a6df7c4d27ffa329aad81b93db45f7102fef2ed463815230
SMCI:0xd360b53a685b4b9aee00ee724639b2aba3f1ebe1b5b097fb3b9ed42151f1ea34
MU:0x3b6f27fd37c9b6e10a42dd1b590e22d33469de494b6d7413e110ecdce51d850b
HOOD:0xe8a0eb4393450b31fcab7bae15b8e1c92698fac8c69788b5287c8d2ef795e788
MARA:0x06124087a6cfbfbcd3e8862bfddedf623af64539401d06ddca9df69f4cf076ed
IBIT:0x2d77a83a7ca3a803444a7fbebbd2453019c6d6f870ecefee556c050ca14b93b3
```

### Request price

By calling the getPrice(id) method you get the following values:

```solidity
// Price
int64 price;
// Confidence interval around the price
uint64 conf;
// Price exponent
int32 expo;
// Unix timestamp describing when the price was published
uint64 publishTime;
```

With this values you can calculate the price as follows and also described here: <https://docs.pyth.network/price-feeds/best-practices>

**Example: Price: 123673 Expo: -6 => 123673 \* 10 \*\* -6 = 0.1236729**

<figure><img src="https://818569863-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F9bIWFEpTRsZsxzgy7W4L%2Fuploads%2FW0aMJ5dPFTbCIDpjE106%2Fimage.png?alt=media&#x26;token=9e10e0f7-a472-4e3a-b589-f9943f7b97c9" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.javsphere.com/engineering/oracle-system.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.