Long Trade on GRASS 06 Aug 2025 at 15:47:45
Take profit at 0.6797 (0.67 %) and Stop Loss at 0.6722 (0.44 %)
Long Trade on GRASS 06 Aug 2025 at 15:47:45
Take profit at 0.6797 (0.67 %) and Stop Loss at 0.6722 (0.44 %)
Position size of 1818.3454 $
Take profit at 0.6797 (0.67 %) and Stop Loss at 0.6722 (0.44 %)
That's a 1.5 RR Trade| Prediction 1 | Probability |
|---|---|
|
Weak Trade
|
0.68 |
| Prediction 2 | Probability |
|---|---|
| 0 | 0.59 |
| Prediction 3 | Probability |
|---|---|
| 0 | 0.61 |
| BTC Market Regime | Coin Market Regime |
|---|---|
| BTC Correlation | Score |
|---|---|
|
5m : 0.747686 |
Indicators:
114934
0.00260074
115233
0.747686
114325
0.00794533
115233
114073
0.0101699
115233
Market Structure Score: 0
| Start at | Closed at | Duration |
|---|---|---|
| 06 Aug 2025 15:47:45 |
06 Aug 2025 17:35:00 |
1 hour |
| Entry | Stop Loss | Take Profit | RR | Current Price |
|---|---|---|---|---|
| 0.6752 | 0.6722 | 0.6797 | 1.5 | 0.23 |
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:
Calcul:
Risque (distance jusqu'au stop loss) :
SL - E = 0.6722 - 0.6752 = -0.003
Récompense (distance jusqu'au take profit):
E - TP = 0.6752 - 0.6797 = -0.0044999999999999
Risk-Reward Ratio:
RRR = TP_DIST / SL_DIST = -0.0044999999999999 / -0.003 = 1.5
| Amount | Margin | Quantity | Leverage |
|---|---|---|---|
| 1818.3454 | 100 | 2693.0471 | 18.18 |
1. Déterminer le montant risqué sur ce trade
Risk Amount = Capital x Risk per trade
Paramètres:
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:
Taille de position = 8 / -0.003 = -2666.67
Taille de position USD = -2666.67 x 0.6752 = -1800.54
Donc, tu peux acheter -2666.67 avec un stoploss a 0.6722
Avec un position size USD de -1800.54$
3. Calcul de la PERTE potentielle
Perte = Taille de position x Distance Stop Loss
Perte = -2666.67 x -0.003 = 8
Si Stop Loss atteint, tu perdras 8$
4. Calcul du GAIN potentielle
Gain = Taille de position x Distance Take Profit
Perte = -2666.67 x -0.0044999999999999 = 12
Si Take Profit atteint, tu gagneras 12$
Résumé
| TP % Target | TP $ Target |
|---|---|
| 0.67 % | 12.12 $ |
| SL % Target | SL $ Target |
|---|---|
| 0.44 % | 8.08 $ |
| PNL | PNL % |
|---|---|
| -8.08 $ | -0.44 |
| Max Drawdown | Max Drawdown / SL Ratio | Candles in Entry |
|---|---|---|
| -0.7405 % | 166.67 % | 8 |
Array
(
)
Array
(
[1.1] => Array
(
[take_profit] => 0.6797
[entry_price] => 0.6752
[stop_loss] => 0.6719
[rr_ratio] => 1.36
[sl_change_percentage] => 1.1
[closed_at] => 2025-08-06 17:35:00
[result] => loss
)
[1.2] => Array
(
[take_profit] => 0.6797
[entry_price] => 0.6752
[stop_loss] => 0.6716
[rr_ratio] => 1.25
[sl_change_percentage] => 1.2
[closed_at] => 2025-08-06 17:35:00
[result] => loss
)
[1.3] => Array
(
[take_profit] => 0.6797
[entry_price] => 0.6752
[stop_loss] => 0.6713
[rr_ratio] => 1.15
[sl_change_percentage] => 1.3
[closed_at] => 2025-08-06 17:35:00
[result] => loss
)
[1.5] => Array
(
[take_profit] => 0.6797
[entry_price] => 0.6752
[stop_loss] => 0.6707
[rr_ratio] => 1
[sl_change_percentage] => 1.5
[closed_at] => 2025-08-06 17:35:00
[result] => loss
)
)
Array
(
[short_term] => Array
(
[max_gain] => 0.0041
[max_drawdown] => 0.0058
[rr_ratio] => 0.71
[high] => 0.67930000
[low] => 0.66940000
[mfe_pct] => 0.61
[mae_pct] => 0.86
[mfe_mae_ratio] => 0.71
[candles_analyzed] => 24
[start_at] => 2025-08-06T15:47:45-04:00
[end_at] => 2025-08-06T17:47:45-04:00
)
[long_term] => Array
(
[max_gain] => 0.0126
[max_drawdown] => 0.0058
[rr_ratio] => 2.17
[high] => 0.68780000
[low] => 0.66940000
[mfe_pct] => 1.87
[mae_pct] => 0.86
[mfe_mae_ratio] => 2.17
[candles_analyzed] => 84
[start_at] => 2025-08-06T15:47:45-04:00
[end_at] => 2025-08-06T22:47:45-04:00
)
[breakout] => Array
(
[high_before] => 0.68990000
[high_after] => 0.68780000
[low_before] => 0.67460000
[low_after] => 0.66940000
[is_new_high] =>
[is_new_low] =>
)
)