Long Trade on RENDER

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Long Trade on RENDER 09 May 2025 at 10:29:15

Take profit at 4.9978 (1.56 %) and Stop Loss at 4.8698 (1.04 %)

Long Trade on RENDER

The 09 May 2025 at 10:29:15

With 156.2338 RENDER at 4.921$ per unit.

Position size of 768.8266 $

Take profit at 4.9978 (1.56 %) and Stop Loss at 4.8698 (1.04 %)

That's a 1.5 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -100

ML Pullback Score: 1.08

Prediction Score: -3.9975

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
0	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.02
atr: 0.03413686986

Details

score: 2.02
1H
ema9 : 4.9266
ema21 : 4.81997
ema50 : 4.63984
price_ema9_diff : -0.0011627
ema9_ema21_diff : 0.0221214
ema21_ema50_diff : 0.0388235
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.628823
kc_percentage : 0.71269
kc_width_percentage : 0.0884832
15m
ema9 : 4.98462
ema21 : 4.96266
ema50 : 4.88826
price_ema9_diff : -0.0128203
ema9_ema21_diff : 0.00442488
ema21_ema50_diff : 0.0152201
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.470694
kc_percentage : 0.337372
kc_width_percentage : 0.0551845
5m
ema9 : 4.98138
ema21 : 4.99129
ema50 : 4.97761
price_ema9_diff : -0.0120986
ema9_ema21_diff : -0.00198582
ema21_ema50_diff : 0.00275026
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.378179
kc_percentage : -0.0154451
kc_width_percentage : 0.0276986

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
09 May 2025 10:29:15	09 May 2025 10:35:00	5 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
4.921	4.8698	4.9978	1.5	1.392

Details

Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

Entry 4.921
Stop Loss: 4.8698
Take Profit: 4.9978

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 4.8698 - 4.921 = -0.051200000000001
Récompense (distance jusqu'au take profit):

E - TP = 4.921 - 4.9978 = -0.0768
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0768 / -0.051200000000001 = 1.5

📌 Position Size

Amount	Margin	Quantity	Leverage
768.8266	100	156.2338	7.69

Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

Account Size 100
Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

Risk Amount 8
Distance Stop Loss -0.051200000000001

Taille de position = 8 / -0.051200000000001 = -156.25

Taille de position USD = -156.25 x 4.921 = -768.91

Donc, tu peux acheter -156.25 avec un stoploss a 4.8698

Avec un position size USD de -768.91$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -156.25 x -0.051200000000001 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -156.25 x -0.0768 = 12

Si Take Profit atteint, tu gagneras 12$

Résumé

Taille de position -156.25
Taille de position USD -768.91
Perte potentielle 8
Gain potentiel 12
Risk-Reward Ratio 1.5

📌 Peformances

TP % Target	TP $ Target
1.56 %	12 $

SL % Target	SL $ Target
1.04 %	8 $

PNL	PNL %
-7.97 $	-1.04

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-1.1379800853485 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 4.998
            [entry_price] => 4.921
            [stop_loss] => 4.8649
            [rr_ratio] => 1.37
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-05-09 12:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 4.998
            [entry_price] => 4.921
            [stop_loss] => 4.8598
            [rr_ratio] => 1.26
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-05-09 12:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 4.998
            [entry_price] => 4.921
            [stop_loss] => 4.8547
            [rr_ratio] => 1.16
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-05-09 12:55:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 4.998
            [entry_price] => 4.921
            [stop_loss] => 4.8445
            [rr_ratio] => 1.01
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-05-09 12:55:00
            [result] => loss
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.047
            [max_drawdown] => 0.064
            [rr_ratio] => 0.73
            [high] => 4.96800000
            [low] => 4.85700000
            [mfe_pct] => 0.96
            [mae_pct] => 1.3
            [mfe_mae_ratio] => 0.73
            [candles_analyzed] => 24
            [start_at] => 2025-05-09T10:29:15-04:00
            [end_at] => 2025-05-09T12:29:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.064
            [max_drawdown] => 0.077
            [rr_ratio] => 0.83
            [high] => 4.98500000
            [low] => 4.84400000
            [mfe_pct] => 1.3
            [mae_pct] => 1.56
            [mfe_mae_ratio] => 0.83
            [candles_analyzed] => 72
            [start_at] => 2025-05-09T10:29:15-04:00
            [end_at] => 2025-05-09T16:29:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 5.06800000
            [high_after] => 4.98500000
            [low_before] => 4.88800000
            [low_after] => 4.84400000
            [is_new_high] => 
            [is_new_low] => 
        )

)